90 Statistical Consulting Jobs in Faridabad

Role Overview: As a Senior Consultant in the EY-ConsultingBlue Yonder (BY) D&F/ESP Planning team, you will play a critical role in developing solutions, implementations, and performance improvement of Blue Yonder Planning modules (D&F/ESP). You will work collaboratively with the end user community, implementation partners, cross-functional teams, and other IT resources to identify system deficiencies and opportunities for business process enhancements. This role offers a fantastic opportunity to be part of a leading firm and contribute to the growth of a new service offering. Key Responsibilities: - Provide solutions proficiency in BY (D&F/ESP) modules to analyze and identify gaps, lead the solution design, and implement the BY application modules to meet business requirements - Lead implementation, configurations, testing, training, knowledge transfer, and documentation activities - Conduct workshops to understand end-to-end business process requirements and propose the best possible solution - Deliver high-quality client solutions that exceed client/EY expectations, are delivered on-time and on-budget - Manage client solution delivery, define project approach, motivate project teams, monitor project risks, manage client and EY key stakeholders, and successfully deliver client solutions - Identify new business opportunities, build strong client relations, understand client needs and EY solution offerings, communicate client opportunities to EY leadership, and help develop client opportunities - Ability to do Oracle SQL/PLSQL coding to develop custom objects Qualifications Required: - Very well versed in supply chain-related knowledge, able to understand common business problems, and translate business input to advise clients on appropriate solutions to meet their planning objectives - 4 to 7 years of hands-on experience as a consultant providing supply chain solutions for customers required - Experience working with Blue Yonder (BY) supply chain planning solutions (D&F, ESP) as either a customer of BY or as a consultant implementing BY solutions for customers/clients preferred - Strong business analysis skills, understanding and usage of statistical algorithms, SCM concepts, awareness of tactical planning on overall supply chain required - Relevant consulting and implementation experience with other leading supply chain planning solutions such as Oracle, O9, Kinaxis, Logility, SAP, or leading ERP is an added advantage Additional Company Details (if any): EY is dedicated to helping clients from startups to Fortune 500 companies, with a focus on education, coaching, and practical experience for personal development. Working at EY offers support, coaching, and feedback, opportunities for skill development and career progression, and the freedom to handle your role in a way that suits you. EY is committed to building a better working world by creating new value for clients, people, society, and the planet through a globally connected network and diverse ecosystem partners. Role Overview: As a Senior Consultant in the EY-ConsultingBlue Yonder (BY) D&F/ESP Planning team, you will play a critical role in developing solutions, implementations, and performance improvement of Blue Yonder Planning modules (D&F/ESP). You will work collaboratively with the end user community, implementation partners, cross-functional teams, and other IT resources to identify system deficiencies and opportunities for business process enhancements. This role offers a fantastic opportunity to be part of a leading firm and contribute to the growth of a new service offering. Key Responsibilities: - Provide solutions proficiency in BY (D&F/ESP) modules to analyze and identify gaps, lead the solution design, and implement the BY application modules to meet business requirements - Lead implementation, configurations, testing, training, knowledge transfer, and documentation activities - Conduct workshops to understand end-to-end business process requirements and propose the best possible solution - Deliver high-quality client solutions that exceed client/EY expectations, are delivered on-time and on-budget - Manage client solution delivery, define project approach, motivate project teams, monitor project risks, manage client and EY key stakeholders, and successfully deliver client solutions - Identify new business opportunities, build strong client relations, understand client needs and EY solution offerings, communicate client opportunities to EY leadership, and help develop client opportunities - Ability to do Oracle SQL/PLSQL coding to develop custom objects Qualifications Required: - Very well versed in supply chain-related knowledge, able to understand common business problems, and translate business input to advise clients on appropriate solutions to meet their planning objectives - 4 to 7 years of hands-on experience as a consultant providing supply chain solutions for customers required - Experience working with Blue Yonder (BY) su

As a Consultant in the Power Markets team at CEEW, your primary role will be to expand ongoing research on building evidence for accelerated renewable energy offtake in the power grid. This will involve conducting literature reviews of statistical and advanced models used to forecast demand and renewable energy power for the short and medium term. You will need to identify gaps and integrated approaches to minimize uncertainty for renewables, requiring a strong demonstrable experience in time series analysis, data science, and machine learning models. Additionally, you should be familiar with power system scheduling and operations to support changes in forecasting and scheduling power generators. Your key responsibilities will include: - Reviewing various approaches, data requirements, tools, and techniques used for short and medium-term forecasting of solar, wind, and demand in Indian states, industries, and globally - Consulting on existing forecasting methods and challenges faced by developers and key industry players - Identifying integrated approaches to improve predictability of renewables and power demand - Supporting the team in testing implications of generation and demand uncertainties in the power sector - Utilizing statistical techniques and algorithms to support renewable energy integration strategies - Staying informed about developments in technological and regulatory landscapes related to renewable energy and demand forecasting In terms of qualifications, you are required to have completed a Masters or doctorate degree with specialization in data science or machine learning in power systems, energy systems, renewable energy technologies, or related fields. Demonstrable experience of at least 2 years in data and time series models will be advantageous. Key skills that are essential for this role include: - Ability to review and analyze statistical and probabilistic models for forecasting solar, wind, and demand - Proficiency in using Python libraries, optimization techniques, and MS Excel - Experience in conducting literature reviews on numerical mathematical models - Ability to learn new tools for data management and analysis - Understanding of power sector scheduling, operations, and relevant policy environments - Ability to work effectively in an interdisciplinary team and independently drive research CEEW operates in a dynamic environment, and you should be prepared to show flexibility in undertaking a variety of tasks. The compensation for this role is competitive and commensurate with experience, matching industry standards for similar positions.,

As a highly motivated and experienced data scientist, you will be leading a team of Gen-Ai Engineers involved in various processes from data extraction, cleaning, and pre-processing, to training models and deploying them to production. Your passion for artificial intelligence and staying up-to-date with the latest developments in the field will be crucial for success. Key Responsibilities: - Utilize frameworks like Langchain for developing scalable and efficient AI solutions. - Integrate vector databases such as Azure Cognitive Search, Weavite, or Pinecone to support AI model functionalities. - Collaborate with cross-functional teams to define problem statements and prototype solutions leveraging generative AI. - Ensure robustness, scalability, and reliability of AI systems by implementing best practices in machine learning and software development. - Explore and visualize data to gain insights and identify differences in data distribution that could impact model performance in real-world deployment. - Devise and oversee data-centered projects, verifying data quality, ensuring it through data cleaning, and supervising the data acquisition process if more data is needed. - Find and utilize available datasets for training, define validation strategies, feature engineering, and data augmentation pipelines. - Train models, tune hyperparameters, analyze model errors, and design strategies to overcome them. - Deploy models to production. Qualifications and Education Requirements: - Bachelors/Masters degree in computer science, data science, mathematics, or a related field. - 3-10 years of experience in building Gen-Ai applications. Preferred Skills: - Proficiency in statistical techniques for extracting insights and making predictions from data. - Experience with deep learning frameworks such as TensorFlow, PyTorch, and Keras. - Specialization in Deep Learning (NLP) and statistical machine learning. - Strong Python skills. - Experience in developing production-grade applications. - Familiarity with Langchain framework and vector databases like Azure Cognitive Search, Weavite, or Pinecone. - Understanding and experience with retrieval algorithms. - Worked on Big data platforms and technologies for processing and analyzing large volumes of data efficiently. - Familiarity with deploying applications on Ubuntu/Linux systems. - Excellent communication, negotiation, and interpersonal skills. Qualifications: - Bachelors/Masters degree in computer science, data science, mathematics, or a related field.,

Role Overview: You will be joining Axtria, a global leader in cloud software and data analytics for the Life Sciences industry. Your role as a Senior Total Rewards Practitioner will involve strategizing, designing, and managing comprehensive rewards programs including compensation, benefits, and recognition. Your focus will be on championing data-driven decisions and advanced analytics to deliver competitive, equitable, and effective rewards solutions aligned with organizational goals. Key Responsibilities: - Develop total rewards strategy and program design to promote employee engagement, drive performance, and support business objectives. - Utilize advanced analytics and insights to interpret data on compensation, benefits, and market benchmarks, providing actionable recommendations to leadership. - Manage program administration and ensure compliance with legal, fiscal, and regulatory requirements. - Engage with stakeholders, advise on rewards best practices, and develop communication materials and training for employees and managers. - Foster a culture of transparency, equity, and continuous improvement through regular reporting and feedback loops. Qualification Required: - Deep knowledge and hands-on experience in compensation, benefits, recognition, and legislation. - Demonstrated expertise in data analytics, statistical modeling, and decision support tools. - Strong understanding of how rewards strategies impact business performance and culture. - Ability to simplify and communicate complex analytics and reward concepts to diverse audiences. - Proactively identify trends, risks, and opportunities; lead continuous improvement initiatives. - Proficiency with HRIS, compensation benchmarking software, and advanced analytics tools (Excel, BI platforms). - Lead multiple concurrent projects, ensuring smooth implementation and stakeholder adoption. - Ensure all rewards initiatives uphold legal compliance and organizational integrity. Additional Company Details: At Axtria, people are valued as the biggest asset. The collaborative culture, structured learning through Axtria Institute, and customized career progression plans ensure that every associate thrives while contributing to meaningful work. Join Axtria in shaping the future of healthcare through data, technology, and innovation. Role Overview: You will be joining Axtria, a global leader in cloud software and data analytics for the Life Sciences industry. Your role as a Senior Total Rewards Practitioner will involve strategizing, designing, and managing comprehensive rewards programs including compensation, benefits, and recognition. Your focus will be on championing data-driven decisions and advanced analytics to deliver competitive, equitable, and effective rewards solutions aligned with organizational goals. Key Responsibilities: - Develop total rewards strategy and program design to promote employee engagement, drive performance, and support business objectives. - Utilize advanced analytics and insights to interpret data on compensation, benefits, and market benchmarks, providing actionable recommendations to leadership. - Manage program administration and ensure compliance with legal, fiscal, and regulatory requirements. - Engage with stakeholders, advise on rewards best practices, and develop communication materials and training for employees and managers. - Foster a culture of transparency, equity, and continuous improvement through regular reporting and feedback loops. Qualification Required: - Deep knowledge and hands-on experience in compensation, benefits, recognition, and legislation. - Demonstrated expertise in data analytics, statistical modeling, and decision support tools. - Strong understanding of how rewards strategies impact business performance and culture. - Ability to simplify and communicate complex analytics and reward concepts to diverse audiences. - Proactively identify trends, risks, and opportunities; lead continuous improvement initiatives. - Proficiency with HRIS, compensation benchmarking software, and advanced analytics tools (Excel, BI platforms). - Lead multiple concurrent projects, ensuring smooth implementation and stakeholder adoption. - Ensure all rewards initiatives uphold legal compliance and organizational integrity. Additional Company Details: At Axtria, people are valued as the biggest asset. The collaborative culture, structured learning through Axtria Institute, and customized career progression plans ensure that every associate thrives while contributing to meaningful work. Join Axtria in shaping the future of healthcare through data, technology, and innovation.

As a highly motivated Business Analyst (Fresher) joining our team, your role will involve tracking, reporting, and analyzing marketing performance. You will handle ad-hoc analytic requests and automate regular reports. Utilizing SQL, Excel, web analytics tools, and statistical analysis tools, you will analyze customer data. Evaluating online customer behavior to enhance guest experience is also part of your responsibilities. Additionally, creating PowerPoint presentations to provide market insights and analyzing sales funnels are key tasks. You will measure the ROI of advertising campaigns, report on marketing KPIs, track email campaign metrics, monitor budget distribution, and conduct competitive research. Qualifications / Skills: - Proficient in marketing research and statistical analysis - Excellent analytical skills and business acumen - Strong organizational, communication, and presentation skills About Us: We specialize in technology products and multi-channel demand generation marketing. Our team has experience with Fortune companies, e-commerce brands, SaaS companies, and startups. We assist billion-dollar companies with consulting, technology, operations, and digital agency capabilities. Our values include integrity, creativity, innovation, mindfulness, and teamwork. We promote a fun and friendly work culture that encourages personal and professional growth. Equal Opportunity Employer: We provide equal opportunities to all employees without discrimination based on race or other prohibited characteristics. Flexible Timings: We offer flexible working hours to help employees thrive and achieve a better work-life balance. Global Clients Exposure: You will work closely with clients worldwide through video conferencing tools like Microsoft Teams and Zoom. Retreats & Celebrations: We organize annual retreats, quarterly town halls, and festive celebrations to foster team spirit and collaboration.,

As a Consultant in the DCM:AMC Team, your role involves building and nurturing positive working relationships with teams and clients in order to exceed client expectations. Your responsibilities include: - Having 2+ and 5+ years of experience in working with Adobe Target as a business analyst/business consultant - Conducting discovery workshops to understand personalization use cases and user journeys - Creating an optimization roadmap by mapping business objectives and use cases to Adobe Target capabilities - Recommending new personalization and optimization use cases along with relevant metrics, and translating them to Adobe Target - Planning tests by wireframing, designing, and implementing them - Having hands-on experience in planning and configuring Adobe Target activities, as well as analyzing and reporting test results - Enabling business users on best practices for Adobe Target Your skills should include hands-on experience in Adobe Target, such as working with Form-Based Experience Composer, VEC, creating different Target activities like A/B Activity, MVT, XT activities, setting up audiences, conducting activity QA, and analyzing and reporting test results. You should also have experience in setting up various types of campaigns and KPIs based on customer needs, understanding concepts of HTML, Javascript, CSS, knowledge of statistical concepts, data analysis, and familiarity with personalization and optimization needs of at least one industry (Financial Services, retail, Manufacturing, etc.). Additionally, you are expected to have good communication skills and experience in handling client interactions. Please note that the location and way of working details are not provided in the job description.,

As a Senior Data Analyst at DataFlow Group, you will play a crucial role in leveraging data to optimize operational efficiency, identify bottlenecks, enhance service delivery, and uncover actionable insights for operational excellence and client satisfaction. **Key Responsibilities:** - **Data Analysis & Insight Generation**: - Conduct in-depth analysis of large and complex datasets to identify trends, patterns, and anomalies. - Translate raw data into clear, concise, and actionable insights addressing key business questions. - **Data Manipulation & Transformation**: - Expertly "slice and dice" data using advanced functions in Google Sheets or Microsoft Excel for analysis, model building, and report creation. - **Reporting & Visualization**: - Develop and maintain dashboards, reports, and presentations to effectively communicate analytical findings to stakeholders, including senior leadership. - **Problem Solving**: - Proactively identify business problems and opportunities, proposing data-driven solutions and strategies. - **Stakeholder Collaboration**: - Work closely with cross-functional teams to understand their data needs and provide support for decision-making. - **Data Quality & Governance**: - Contribute to ensuring data accuracy, consistency, and integrity across various data sets. **Qualifications Required:** - **Experience**: - Progressive experience in a data analytics role with a track record of delivering impactful data-driven insights. - **Mindset**: - Strong analytical and problem-solving skills with the ability to break down complex problems into manageable components. - **Data Manipulation Expertise**: - Hands-on proficiency in Google Sheets or Microsoft Excel, including advanced functions like pivot tables, VLOOKUP/XLOOKUP, conditional formatting, and charting. - **Slicing & Dicing**: - Ability to manipulate, transform, and analyze large volumes of data from various sources to uncover meaningful patterns. - **Skills**: - Excellent verbal and written communication skills to articulate complex analytical concepts clearly to non-technical audiences. - Meticulous attention to detail with a commitment to data accuracy and integrity. - Self-motivated, proactive, and able to work independently and collaboratively within a team environment. **Preferred Qualifications (Nice To Haves):** - Experience with SQL for data querying and extraction. - Experience with statistical analysis and modeling using tools like Python or R. Please note: This job description is provided by DataFlow Group, a global provider of specialized Primary Source Verification solutions and background screening services.,

As an Assistant Director - AI/GenAI at EY, you will be responsible for developing and delivering industry-specific solutions using Artificial Intelligence, Machine Learning, deep learning, and LLM models for Generative AI, text analytics, and Python programming. Your role will involve leading the development and implementation of Generative AI applications, working with advanced models like GPT-3.5, GPT 4, Llama, BERT, and optimizing solutions leveraging Vector databases for efficient storage and retrieval of contextual data for LLMs. You will also work on identifying opportunities for analytics applications, managing projects, and ensuring smooth service delivery. **Key Responsibilities:** - Develop, review, and implement solutions applying AI, Machine Learning, and Deep Learning - Lead the development and implementation of Generative AI applications - Work with advanced models for natural language processing and creative content generation - Design and optimize solutions leveraging Vector databases - Understand business sectors and identify opportunities for analytics application - Manage projects and ensure smooth service delivery - Communicate with cross-functional teams - Go-to-market/stakeholder management **Qualifications Required:** - Experience guiding teams on AI/Data Science projects - Familiarity with implementing solutions in Azure Cloud Framework - Excellent presentation skills - 12-16 years of relevant work experience in developing and implementing AI, Machine Learning Models - Experience with statistical techniques, deep learning, and machine learning algorithms - Proficiency in Python programming - Familiarity with software development life cycle (SDLC) - Willingness to mentor team members As an ideal candidate, you should have the ability to think strategically, build rapport within the firm, and travel extensively. EY offers opportunities to work with a global team of professionals in a dynamic and inclusive culture, providing continuous learning and transformative leadership. Join EY and be a part of building a better working world through innovation and collaboration across industries and geographies.,

Role Overview: You will be part of the Technology for Operations team at Accenture, acting as a trusted advisor and partner to Accenture Operations. Your main responsibility will be to provide innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. You will work closely with the sales, offering, and delivery teams to identify and build innovative solutions. Your understanding of foundational principles and knowledge of Artificial Intelligence (AI) will be crucial in using AI effectively. Key Responsibilities: - Develop models for segmentation, propensity scoring, churn prediction, and campaign optimization. - Analyze performance across channels (email, paid media, CRM) using statistical and ML methods. - Design experiments (A/B, multi-armed bandits) and analyze results to improve ROI. - Collaborate with engineering and product teams to operationalize models in production. - Present insights and recommendations to business stakeholders. Qualification Required: - Any Graduation - 10 to 14 years of experience About Accenture: Accenture is a global professional services company with leading capabilities in digital, cloud, and security. Combining unmatched experience and specialized skills across more than 40 industries, Accenture offers Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the world's largest network of Advanced Technology and Intelligent Operations centers. With 699,000 employees serving clients in more than 120 countries, Accenture embraces the power of change to create value and shared success for clients, people, shareholders, partners, and communities. Visit Accenture at www.accenture.com. Please note that this role may require you to work in rotational shifts. Role Overview: You will be part of the Technology for Operations team at Accenture, acting as a trusted advisor and partner to Accenture Operations. Your main responsibility will be to provide innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. You will work closely with the sales, offering, and delivery teams to identify and build innovative solutions. Your understanding of foundational principles and knowledge of Artificial Intelligence (AI) will be crucial in using AI effectively. Key Responsibilities: - Develop models for segmentation, propensity scoring, churn prediction, and campaign optimization. - Analyze performance across channels (email, paid media, CRM) using statistical and ML methods. - Design experiments (A/B, multi-armed bandits) and analyze results to improve ROI. - Collaborate with engineering and product teams to operationalize models in production. - Present insights and recommendations to business stakeholders. Qualification Required: - Any Graduation - 10 to 14 years of experience About Accenture: Accenture is a global professional services company with leading capabilities in digital, cloud, and security. Combining unmatched experience and specialized skills across more than 40 industries, Accenture offers Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the world's largest network of Advanced Technology and Intelligent Operations centers. With 699,000 employees serving clients in more than 120 countries, Accenture embraces the power of change to create value and shared success for clients, people, shareholders, partners, and communities. Visit Accenture at www.accenture.com. Please note that this role may require you to work in rotational shifts.

In this role at Adobe, you will be providing technical support to Digital Marketing customers via telephone and email, ensuring accurate and timely assistance. As a Technical Support Product Consultant, you will handle complex support issues with varying priorities, aiming to delight customers while representing Adobe in a professional manner. Your responsibilities will include: - Providing technical support via telephone and email, while logging all interactions accurately. - Validating and reporting customer-submitted product bug reports with precision. - Educating customers on the use of Digital Marketing products. - Assisting in testing new and enhanced products. - Handling projects efficiently within stated timelines. - Taking ownership of cases and contributing to the success of global teams. - Identifying trends and potential issues, and communicating promptly with affected parties. - Supporting sustainable and scalable software solutions for Adobe's largest customers. - Maintaining accurate and complete product documentation. - Treating each case as an opportunity to delight customers, despite external factors. - Being ready to work night shifts and providing weekend or holiday coverage in rotation with the team. - Assisting in special projects and other duties as assigned. Qualifications required for this role include: - Deep knowledge and understanding of HTML, JavaScript, CSS, Perl, Web 2.0, and web services. - Familiarity with Internet/Digital Marketing concepts, Mobile, DTM, Tag Management. - Experience with SQL, database management, data insertion, reporting APIs, SOAP, REST, and PHP. - Knowledge of Mobile and Video programming solutions, Tag Management tools. - Desirable experience using Adobe Solutions like Adobe Experience Platform, Analytics, Target, Audience Manager, or other web analytics and optimization tools. - Ability to diagnose and fix complex analytic implementation issues. - Understanding of JQuery, Angular JS, Any JS Framework, API. - Proficiency in identifying, researching, and quantifying business problems using statistical analyses on large data sets. - Evidence of leading multi-platform Adobe solutions and certification in Adobe Experience Cloud tools. Please note that Adobe is committed to making Adobe.com accessible to all users. If you require accommodation due to a disability or special need during the application process, you can contact accommodations@adobe.com or call (408) 536-3015. In this role at Adobe, you will be providing technical support to Digital Marketing customers via telephone and email, ensuring accurate and timely assistance. As a Technical Support Product Consultant, you will handle complex support issues with varying priorities, aiming to delight customers while representing Adobe in a professional manner. Your responsibilities will include: - Providing technical support via telephone and email, while logging all interactions accurately. - Validating and reporting customer-submitted product bug reports with precision. - Educating customers on the use of Digital Marketing products. - Assisting in testing new and enhanced products. - Handling projects efficiently within stated timelines. - Taking ownership of cases and contributing to the success of global teams. - Identifying trends and potential issues, and communicating promptly with affected parties. - Supporting sustainable and scalable software solutions for Adobe's largest customers. - Maintaining accurate and complete product documentation. - Treating each case as an opportunity to delight customers, despite external factors. - Being ready to work night shifts and providing weekend or holiday coverage in rotation with the team. - Assisting in special projects and other duties as assigned. Qualifications required for this role include: - Deep knowledge and understanding of HTML, JavaScript, CSS, Perl, Web 2.0, and web services. - Familiarity with Internet/Digital Marketing concepts, Mobile, DTM, Tag Management. - Experience with SQL, database management, data insertion, reporting APIs, SOAP, REST, and PHP. - Knowledge of Mobile and Video programming solutions, Tag Management tools. - Desirable experience using Adobe Solutions like Adobe Experience Platform, Analytics, Target, Audience Manager, or other web analytics and optimization tools. - Ability to diagnose and fix complex analytic implementation issues. - Understanding of JQuery, Angular JS, Any JS Framework, API. - Proficiency in identifying, researching, and quantifying business problems using statistical analyses on large data sets. - Evidence of leading multi-platform Adobe solutions and certification in Adobe Experience Cloud tools. Please note that Adobe is committed to making Adobe.com accessible to all users. If you require accommodation due to a disability or special need during the application process, you can contact accommodations@adobe.com or call (408) 536-3015.

As a Senior / Lead Product Analyst, you will be responsible for driving data-led product strategies and insights across multiple product lines. Your role will involve leading analytical initiatives, influencing product direction through actionable insights, and mentoring a team of analysts while closely partnering with cross-functional stakeholders. This strategic position is designed for someone who can bridge data with business and product vision to drive measurable impact. **Key Responsibilities:** - Lead end-to-end product analytics to evaluate product performance, identify key trends, and recommend actionable improvements. - Design and maintain advanced dashboards and reports using tools like Excel, SQL, Python, BigQuery, Power BI, and Google Analytics (GA4). - Define and track KPIs aligned with business goals; proactively surface opportunities and risks. - Drive in-depth market and competitor research to inform product strategy. - Synthesize customer feedback, usage data, and behavioral signals to uncover user needs and pain points. - Stay ahead of industry trends, benchmarks, and innovations in analytics and digital product strategies. - Partner with product managers to define and refine product roadmaps through data-driven insights. - Lead development of user stories, success metrics, and A/B test strategies. - Guide experimentation and validation plans (e.g., cohort analysis, retention studies, funnel analysis, heatmaps). - Manage cross-functional analytics initiatives and ensure timely delivery of insights to product, tech, and business teams. - Support key decision-making across the product lifecycle from ideation to post-launch optimization. - Ensure consistent documentation, visibility, and prioritization of analytics tasks. - Mentor junior analysts and contribute to establishing best practices for the analytics function. - Act as a data evangelist across the company, promoting a culture of evidence-based decision-making. - Present high-impact insights and product recommendations to senior leadership and executive stakeholders. **Qualifications:** - **Education:** - Bachelor's or Masters degree in Business, Engineering, Economics, Statistics, Computer Science, or a related field. - **Experience:** - 3+ years of experience in product analytics. - Proven success in influencing product decisions through analytics at a high-growth or product-first company. - **Technical Skills:** - Advanced proficiency in tools such as Excel, SQL, Power BI/Looker Studio, Python or R, BigQuery, and GA4. - Hands-on experience with tools like Firebase, GTM, and data visualization/BI platforms. - Strong knowledge of experimentation frameworks including A/B testing, hypothesis testing, and statistical significance. - Deep understanding of product funnels, acquisition sources, user retention, and behavioral analytics. - **Product & Analytical Skills:** - Demonstrated ability to generate insights and influence product strategy. - Proficient in funnel analysis, cohort studies, churn and retention metrics, segmentation, and user flow mapping.,

As a highly motivated and experienced data scientist, you will lead a team of Gen-Ai Engineers, overseeing all processes from data extraction and pre-processing to training models and deploying them into production. Your passion for artificial intelligence and staying updated with the latest developments in the field will be crucial for this role. Key Responsibilities: - Utilize frameworks like Langchain for developing scalable and efficient AI solutions. - Integrate vector databases such as Azure Cognitive Search, Weavite, or Pinecone to enhance AI model functionalities. - Collaborate with cross-functional teams to define problem statements and prototype solutions using generative AI. - Ensure the robustness, scalability, and reliability of AI systems by implementing best practices in machine learning and software development. - Explore and visualize data to gain insights, identify data distribution differences affecting model performance, and devise strategies to overcome them. - Devise and oversee data-centered projects, ensuring data quality through cleaning and acquisition processes. - Find and utilize available datasets for training, define validation strategies, and engineer data augmentation pipelines. - Train models, tune hyperparameters, analyze model errors, and deploy models to production. Qualifications and Education Requirements: - Bachelors/Masters degree in computer science, data science, mathematics, or a related field. - 5-10 years of experience in building Gen-Ai applications. Preferred Skills: - Proficiency in statistical techniques for extracting insights and making predictions from data. - Strong skills in TensorFlow, PyTorch, Keras, and deep learning frameworks. - Specialization in Deep Learning (NLP) and statistical machine learning. - Proficiency in Python, with experience in developing production-grade applications. - Familiarity with Langchain framework, Azure Cognitive Search, Weavite, or Pinecone vector databases. - Understanding and experience with retrieval algorithms. - Experience with Big data platforms like Apache Hadoop, Spark, Kafka, Hive, for processing and analyzing large volumes of data efficiently. - Familiarity with deploying applications on Ubuntu/Linux systems. - Excellent communication, negotiation, and interpersonal skills.,

Role Overview: As a Business Analyst in our team, you will be responsible for analyzing and interpreting complex data sets, identifying trends and insights, and developing actionable recommendations to support our product development and strategy. Key Responsibilities: - Collaborate with cross-functional teams to understand business needs and translate them into data requirements. - Design, build, and maintain data pipelines to ensure accurate and timely collection, transformation, and analysis of data. - Develop and maintain data dashboards, reports, and visualizations to communicate insights to stakeholders. - Identify patterns and trends in data, and provide recommendations to improve product performance, adoption, user experience, and business outcomes. - Work with the product team to design and execute experiments to validate hypotheses and measure the impact of product changes. - Develop and implement statistical models to support forecasting, predictive analytics, and optimization. - Help define and monitor key performance indicators for commerce products. - Identify opportunities for data-driven innovation and contribute to the development of new product features and capabilities. Qualifications: - Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, or a related field. - 5+ years of experience in data analysis, preferably in a business development environment. - Strong analytical skills and experience with statistical analysis, data mining, and machine learning techniques. - Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment. - Experience with data visualization tools such as Google Data Studio or Looker. - Proficiency in SQL and experience with database systems such as MySQL, PostgreSQL, or HiveQL. - Expertise with programming languages such as Python or R is a plus. Additional Details: The company aims at bringing half a billion Indians into the mainstream economy. With over 500 million registered users and 21 million merchants, the company is in a unique position to democratize credit for deserving consumers and merchants. The largest digital lending story in India is unfolding here, providing employees with an opportunity to be part of this impactful journey.,

Role Overview: As a Senior Machine Learning Engineer at TrueFan, you will play a crucial role in designing, developing, and deploying cutting-edge models for end-to-end content generation. Your focus will be on AI-driven image/video generation, lipsyncing, and multimodal AI systems using deep generative modeling techniques. You will contribute to creating highly realistic and controllable AI-generated media while staying updated with the latest trends in the field. Key Responsibilities: - Research & Develop: Design and implement state-of-the-art generative models such as Diffusion Models, 3D VAEs, and GANs for AI-powered media synthesis. - End-to-End Content Generation: Build and optimize AI pipelines for high-fidelity image/video generation and lipsyncing using diffusion and autoencoder models. - Speech & Video Synchronization: Develop advanced lipsyncing and multimodal generation models integrating speech, video, and facial animation. - Real-Time AI Systems: Implement and optimize models for real-time content generation and interactive AI applications using efficient model architectures. - Scaling & Production Deployment: Collaborate with software engineers to deploy models efficiently on cloud-based architectures (AWS, GCP, or Azure). - Collaboration & Research: Stay ahead of the latest trends in deep generative models and transformer-based vision systems to enhance AI-generated content quality. - Experimentation & Validation: Design and conduct experiments to evaluate model performance, improve fidelity, realism, and computational efficiency. - Code Quality & Best Practices: Participate in code reviews, improve model efficiency, and document research findings for team knowledge-sharing. Qualifications: - Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field. - 3+ years of experience working with deep generative models like Diffusion Models, 3D VAEs, GANs, and autoregressive models. - Strong proficiency in Python and deep learning frameworks such as PyTorch. - Expertise in multi-modal AI, text-to-image, image-to-video generation, and audio to lipsync. - Strong understanding of machine learning principles, statistical methods, and problem-solving abilities. - Good to have experience in real-time inference optimization, cloud deployment, and distributed training. - Familiarity with generative adversarial techniques, reinforcement learning for generative models, and large-scale AI model training. Preferred Qualifications: - Experience with transformers and vision-language models like CLIP, BLIP, GPT-4V. - Background in text-to-video generation, lipsync generation, and real-time synthetic media applications. - Experience in cloud-based AI pipelines (AWS, Google Cloud, or Azure) and model compression techniques. - Contributions to open-source projects or published research in AI-generated content, speech synthesis, or video synthesis. Role Overview: As a Senior Machine Learning Engineer at TrueFan, you will play a crucial role in designing, developing, and deploying cutting-edge models for end-to-end content generation. Your focus will be on AI-driven image/video generation, lipsyncing, and multimodal AI systems using deep generative modeling techniques. You will contribute to creating highly realistic and controllable AI-generated media while staying updated with the latest trends in the field. Key Responsibilities: - Research & Develop: Design and implement state-of-the-art generative models such as Diffusion Models, 3D VAEs, and GANs for AI-powered media synthesis. - End-to-End Content Generation: Build and optimize AI pipelines for high-fidelity image/video generation and lipsyncing using diffusion and autoencoder models. - Speech & Video Synchronization: Develop advanced lipsyncing and multimodal generation models integrating speech, video, and facial animation. - Real-Time AI Systems: Implement and optimize models for real-time content generation and interactive AI applications using efficient model architectures. - Scaling & Production Deployment: Collaborate with software engineers to deploy models efficiently on cloud-based architectures (AWS, GCP, or Azure). - Collaboration & Research: Stay ahead of the latest trends in deep generative models and transformer-based vision systems to enhance AI-generated content quality. - Experimentation & Validation: Design and conduct experiments to evaluate model performance, improve fidelity, realism, and computational efficiency. - Code Quality & Best Practices: Participate in code reviews, improve model efficiency, and document research findings for team knowledge-sharing. Qualifications: - Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field. - 3+ years of experience working with deep generative models like Diffusion Models, 3D VAEs, GANs, and autoregressive models. - Strong proficiency in Python and deep learning frameworks such as PyTorch. - Expertise in multi-modal AI, text-to-image,

As a Proposal Writer at WSP, you will play a crucial role in supporting the Canada-based Research & Innovation Team. Your primary responsibility will involve reviewing, editing, and managing proposals, discussion papers, collateral, and other marketing materials to ensure the efficient development of proposals. The proposals you will be working on will showcase innovative and impactful new services and approaches across various disciplines, with a strong focus on digital innovation, machine learning, and IoT. It will be essential to highlight the societal impact of these initiatives. Additionally, you will provide support to the marketing team in preparing qualifications packages and other deliverables. Your key responsibilities will include: - Developing and writing content for WSP proposals, discussion papers, grants, collateral, and other marketing deliverables - Serving as an author for sections on proposals to convey technical information simply and effectively - Providing copy editing, proofreading, and final reviews for proposals and marketing materials - Helping edit down copy to meet page limitations - Delivering high-quality writing for proposals and presentations by gathering information through research, statistical reports, and interviews with technical staff - Supporting the development of differentiators, value propositions, and key messages - Applying new technologies and innovations for proposals and presentations - Providing support and guidance to the proposal development team to ensure the success of pursuit related materials - Supporting marketing coordinators and managers with proposal production on an as-needed basis To qualify for this role, you should have: - Bachelor's degree in Engineering, Journalism, or English preferred - French competency level C1 required - 5+ years of experience in a relevant role - Ability to write compelling content under tight deadlines - Understanding of journalistic writing styles and the ability to follow a style guide like AP - Excellent communication, critical thinking, and marketing strategy development skills - Proficiency in Microsoft Office, Adobe Creative Suite, SharePoint, and other communications-related software - Self-motivated team player with strong multitasking abilities WSP is a leading professional services consulting firm dedicated to providing technical expertise and strategic advisory services. With a global presence and a focus on engineering projects that have a lasting societal impact, we offer a collaborative work environment and ample opportunities for professional growth. Join us in shaping the future of communities and making a positive impact worldwide. For more information about WSP, please visit www.wsp.com.,

As a highly motivated and experienced data scientist, you will lead a team of Gen-Ai Engineers involved in various processes from data extraction to deploying AI models to production. Your passion for artificial intelligence and staying up-to-date with the latest developments will be crucial in this role. Key Responsibilities: - Utilize frameworks like Langchain for developing scalable and efficient AI solutions. - Integrate vector databases such as Azure Cognitive Search, Weavite, or Pinecone to support AI model functionalities. - Work closely with cross-functional teams to define problem statements and prototype solutions leveraging generative AI. - Ensure robustness, scalability, and reliability of AI systems by implementing best practices in machine learning and software development. - Explore and visualize data to gain an understanding of it, identify differences in data distribution that could affect model performance in the real world. - Oversee data-centered projects, verify data quality, ensure it via data cleaning, and supervise data acquisition process if more data is needed. - Find available datasets online for training, define validation strategies, feature engineering data augmentation pipelines on a given dataset. - Train models, tune hyperparameters, analyze model errors, and design strategies to overcome them. - Deploy models to production. Qualifications and Education Requirements: - Bachelors/Masters degree in computer science, data science, mathematics, or a related field. - 3-10 years of experience in building Gen-Ai applications. Preferred Skills: - Proficiency in statistical techniques such as hypothesis testing, regression analysis, clustering, classification, and time series analysis. - Proficiency with deep learning frameworks like TensorFlow, PyTorch, and Keras. - Specialization in Deep Learning (NLP) and statistical machine learning. - Strong Python skills. - Experience with developing production-grade applications. - Familiarity with Langchain framework and vector databases like Azure Cognitive Search, Weavite, or Pinecone. - Understanding and experience with retrieval algorithms. - Worked on Big data platforms and technologies such as Apache Hadoop, Spark, Kafka, or Hive. - Familiarity with working and deploying applications on Ubuntu/Linux system. - Excellent communication, negotiation, and interpersonal skills.,

As a Data Scientist/Senior Data Scientist at Circle K India Data & Analytics team, you will play a crucial role in delivering advanced analytics projects that drive business results. Your responsibilities will include analyzing large-scale structured and unstructured data, developing deep-dive analyses, and building machine learning models in retail, marketing, merchandising, and other areas of the business. You will also be utilizing data mining, statistical and machine learning techniques to derive business value from various types of data. Additionally, you will be applying multiple algorithms or architectures to recommend the best model for data-driven business decisions. Key Responsibilities: - Analyze large-scale structured and unstructured data to develop deep-dive analyses and machine learning models - Utilize data mining, statistical, and machine learning techniques to derive business value from various types of data - Apply multiple algorithms or architectures to recommend the best model for data-driven business decisions - Utilize cloud setup for statistical modeling and big data analysis, and visualization tools for representing large sets of data You will also be responsible for following industry standards in coding solutions, structuring hypotheses, building thoughtful analyses, and partnering with Data Engineering to maintain core data infrastructure. Additionally, you will be working collaboratively with multiple stakeholders to deliver project deliverables and articulate complex data science models to business teams. Qualifications Required: - Bachelors degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.) - Masters degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.) - 3-4 years of relevant working experience in a data science/advanced analytics role Behavioral Skills Required: - Delivery Excellence - Business disposition - Social intelligence - Innovation and agility Knowledge Required: - Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics, etc.) - Statistical modeling using Analytical tools (R, Python, KNIME, etc.) - Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference) - Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference - Strong coding proficiency in Python (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.) - Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.) - Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems, and Data Engineering tools - Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.) - Microsoft Office applications (MS Excel, etc.) As a Data Scientist/Senior Data Scientist at Circle K India Data & Analytics team, you will play a crucial role in delivering advanced analytics projects that drive business results. Your responsibilities will include analyzing large-scale structured and unstructured data, developing deep-dive analyses, and building machine learning models in retail, marketing, merchandising, and other areas of the business. You will also be utilizing data mining, statistical and machine learning techniques to derive business value from various types of data. Additionally, you will be applying multiple algorithms or architectures to recommend the best model for data-driven business decisions. Key Responsibilities: - Analyze large-scale structured and unstructured data to develop deep-dive analyses and machine learning models - Utilize data mining, statistical, and machine learning techniques to derive business value from various types of data - Apply multiple algorithms or architectures to recommend the best model for data-driven business decisions - Utilize cloud setup for statistical modeling and big data analysis, and visualization tools for representing large sets of data You will also be responsible for following industry standards in coding solutions, structuring hypotheses, building thoughtful analyses, and partnering with Data Engineering to maintain core data infrastructure. Additionally, you will be working collaboratively with multiple stakeholders to deliver project deliverables and articulate complex data science models to business teams. Qualifications Required: - Bachelors degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.) - Masters degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.) - 3-4 years of relevant working experience in a data science/advanced analytics role Behavioral Skills Required: - Delivery Excellence - Business disposition - Social intelligence - Innovation and agility Knowledge Required: - Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analyti

As a Manager in the EY Parthenon SCM team, your role involves managing and overseeing engagements to help clients solve their supply chain issues and support key decision makers in developing and executing transaction strategies. You will lead projects across supply chain pillars such as Plan, Source, Make, and Deliver in both deal and non-deal environments. Additionally, you will be responsible for building relationships with EY offices globally and ensuring high user satisfaction with engagement processes and work products. Your key responsibilities include: - Managing and overseeing engagements to solve pressing supply chain issues and supporting decision makers - Leading projects spanning supply chain pillars in deal and non-deal environments - Building relationships with EY offices worldwide and ensuring high user satisfaction - Engaging in larger SaT projects and pitching for potential supply chain interventions - Managing a team of supply chain consultants and mentoring junior team members - Providing insights based on industry knowledge and best practices across supply chain functions To qualify for this role, you must have: - A Post Graduate degree in business management with 8-12 years of consulting and/or industry experience - At least 3 years of management consulting experience across two SCM pillars in a top-tier consulting firm - Understanding of the transaction life cycle and business integration post-transaction - Experience in leading and managing complex business environments - Knowledge of data analytics tools and expertise in applying analytics to solve supply chain problems - Strong problem-solving, project management, and interpersonal skills - Willingness to undertake international travel as required Ideally, you'll also have experience with Lean Six Sigma projects, statistical tools, and working on transactions in buy and integrate or sell and separate scenarios. In EY Global Delivery Services (GDS), you can expect: - A team of professionals with commercial acumen and technical experience - An opportunity to work with a market-leading, multi-disciplinary team - Collaboration with EY teams globally on exciting projects and well-known brands - Continuous learning and development opportunities - Tools and flexibility to make a meaningful impact - Insights, coaching, and confidence to be a transformative leader - Embrace of diversity and inclusive culture Join EY and be part of building a better working world, where long-term value is created for clients, people, and society, and trust is built in the capital markets through data, technology, and diverse teams across over 150 countries.,

You will be part of a leading political consulting organization, Nation with NaMo, dedicated to supporting political campaigns. Your role as a Data Analyst will involve the following responsibilities: - Understanding important metrics and devising processes for benchmark and competitor analysis. - Developing algorithms for automating social media analysis tasks, performing statistical analysis, and refining models. - Taking ownership of projects from data extraction to reporting, including data cleaning, exploratory data analysis, and dashboarding. - Maintaining clear communication to understand data needs and report results effectively. - Creating efficient codes and processes for visually representative dashboards and automated report generation. - Identifying and rectifying errors/bugs in processes and dashboards to enhance robustness. - Developing tools/scripts for data pull, storage, and management. - Understanding business requirements related to digital advertising, political relevance, and social media performance measurement. - Collaborating with other departments to ensure alignment of goals and strategies. Qualifications required for this role include: - Degree in Computer Science, Mathematics, Statistics, Economics, or related discipline from a reputed institute. - Aptitude for problem-solving, business acumen, and persistence in working with data. - Self-starter mentality, strong sense of ownership, and eagerness to learn. - Ability to work in a fast-paced environment, prioritize tasks, and deliver accurate results. - Organizational skills to achieve time-bound results by coordinating with stakeholders. - 1-3 years of experience in data analysis, statistical modeling, or digital advertising is a plus. Key capabilities you must possess: - Good working knowledge of Python/SQL and MS Excel/Google Spreadsheet. - Ability to handle large, unstructured, and multi-dimensional datasets. - Knowledge of data representation tools like Power BI, Tableau, Google Data Studio is advantageous.,

Role Overview: As a Data Analyst in our company, your primary responsibility will be to process and analyze data to provide actionable insights into market trends, consumer behavior, and competitive dynamics. This will involve ensuring data accuracy through cleaning and integration. You will utilize statistical methods and visualization tools to interpret data and create detailed reports and dashboards. Collaboration with cross-functional teams to support strategic decision-making and continuous improvement of research methodologies will be key in this role. Your strong analytical skills, proficiency in statistical software, and effective communication of findings are essential for success. Please note that this position will be a hybrid role, offering remote work options with occasional in-office requirements to enhance team relationships and productivity. Key Responsibilities: - Perform data checks using Quantum, SPSS, and Excel - Check Max-diff, Conjoint, and segmentation setups - Prepare tables in Quantum - Write data cleaning scripts - Conduct data manipulation tasks such as labeling, stacking, and recoding - Resolve client queries and update their requirements - Communicate and coordinate with clients and internal teams - Manage direct reports Qualifications: - Education: Bachelor's degree - Experience: Minimum 3-5 years of experience in Data processing within the Market Research industry - Computer Skills: Microsoft Office, SPSS, Quantum Additional Company Benefits: - Free Gourmet Tea/Coffee on the house - Pick and Drop Cab facility for up to 50 Kms from Office location - Extensive Mediclaim Benefit (Note: No additional details about the company were present in the job description) Role Overview: As a Data Analyst in our company, your primary responsibility will be to process and analyze data to provide actionable insights into market trends, consumer behavior, and competitive dynamics. This will involve ensuring data accuracy through cleaning and integration. You will utilize statistical methods and visualization tools to interpret data and create detailed reports and dashboards. Collaboration with cross-functional teams to support strategic decision-making and continuous improvement of research methodologies will be key in this role. Your strong analytical skills, proficiency in statistical software, and effective communication of findings are essential for success. Please note that this position will be a hybrid role, offering remote work options with occasional in-office requirements to enhance team relationships and productivity. Key Responsibilities: - Perform data checks using Quantum, SPSS, and Excel - Check Max-diff, Conjoint, and segmentation setups - Prepare tables in Quantum - Write data cleaning scripts - Conduct data manipulation tasks such as labeling, stacking, and recoding - Resolve client queries and update their requirements - Communicate and coordinate with clients and internal teams - Manage direct reports Qualifications: - Education: Bachelor's degree - Experience: Minimum 3-5 years of experience in Data processing within the Market Research industry - Computer Skills: Microsoft Office, SPSS, Quantum Additional Company Benefits: - Free Gourmet Tea/Coffee on the house - Pick and Drop Cab facility for up to 50 Kms from Office location - Extensive Mediclaim Benefit (Note: No additional details about the company were present in the job description)