1 Regression Analysis Jobs nearby Sonipat

**Job Description:** You will be responsible for Product Management and Quality Assurance in a dynamic environment at Rishihood. Here is a breakdown of your key responsibilities: - **Product Management (70%):** - Collaborate with stakeholders such as student bodies, academic departments, and administrative staff to understand user needs and pain points. - Assist in developing product roadmaps and prioritize features. - Author clear and concise Product Requirements Documents (PRDs) and user stories. - Work closely with UX/UI designers and engineers to translate requirements into functional and intuitive features. - Analyze product data and user feedback to guide future product decisions. - **Quality Assurance (30%):** - Own the quality of the product by creating and executing comprehensive test plans for new features and regression testing. - Conduct hands-on manual testing across web and mobile platforms to identify, document, and triage bugs. - Collaborate with the development team to ensure bugs are resolved and quality standards are met before release. - Promote a culture of quality throughout the product development lifecycle. **Qualifications Required:** - Bachelor's degree in Engineering, Management, or a related field. - Minimum of 1 year of experience in Product Management, Product Analyst, or a similar role. - Strong understanding of QA principles and methodologies; prior hands-on experience as a QA Analyst or Engineer is desirable. - Passion for understanding users and developing solutions to meet their needs. - Excellent written and verbal communication skills to convey ideas to both technical and non-technical audiences. - Ability to analyze complex problems, think critically, and use data for decision-making. - Proactive team player who can collaborate effectively with cross-functional teams. - Bonus Points: Experience with EdTech platforms or university management systems. **Additional Company Details:** At Rishihood, you will have the opportunity to gain hands-on experience in a fast-paced, real-world environment. You will work on challenging projects, learn from experienced mentors, and develop skills in product management using agile methodologies. The company prides itself on a strong work culture that emphasizes innovation, learning, and collaboration. You will be part of a talented team passionate about delivering high-quality experiences.,

As a Data Scientist, your role will involve designing and implementing workflows for Linear and Logistic Regression, as well as Ensemble Models such as Random Forest and Boosting using R/Python. You should have a strong grasp of Probability and Statistics, with the ability to apply concepts of Data Distributions, Hypothesis Testing, and other Statistical Tests. Experience in handling outliers, denoising data, and managing the impact of unforeseen situations like pandemics is essential. Conducting Exploratory Data Analysis (EDA) on raw data and performing feature engineering when necessary will be part of your responsibilities. Key Responsibilities: - Demonstrating proficiency in Data Visualization using the Python/R Data Science Stack - Leveraging cloud platforms for training and deploying large-scale solutions - Training and evaluating ML models using various machine learning and deep learning algorithms - Ensuring model accuracy is maintained during deployment and retraining as needed - Packaging and deploying large-scale models on on-premise systems using multiple approaches including Docker - Taking complete ownership of the assigned project - Working in Agile environments and utilizing project tracking tools like JIRA - Utilizing cloud platforms such as AWS, Azure, and GCP - Handling NoSQL databases like MongoDB, Cassandra, Cosmos DB, and HBase - Experience in forecasting with products like SAP, Oracle, Power BI, Qlik, etc. - Proficiency in Excel including Power Pivot, Power Query, Macros, and Charts - Working with large datasets and distributed computing tools such as Hive, Hadoop, and Spark - Implementing transfer learning with state-of-the-art models in various domains like vision, NLP, and speech - Integrating with external services and Cloud APIs - Using data annotation approaches and tools for text, images, and videos Qualifications Required: - Strong background in Data Science, Statistics, or related fields - Proficiency in programming languages such as R and Python - Experience with machine learning, deep learning, and statistical modeling - Familiarity with cloud platforms, NoSQL databases, and forecasting tools - Ability to work with large datasets and distributed computing frameworks - Excellent problem-solving skills and the ability to work independently - Strong communication and teamwork skills (Note: Additional details about the company were not provided in the job description.),

As a Machine Learning Forecaster, your role involves developing, implementing, and maintaining predictive models using machine learning algorithms and data analysis techniques. You will collaborate with cross-functional teams to understand business needs and translate them into actionable forecasts. Key Responsibilities: - Design and develop predictive models using various machine learning algorithms like regression, classification, and time series analysis. - Identify and select relevant datasets and features for model training. - Preprocess and clean data to ensure accuracy and reliability of models. - Train, validate, and optimize models to achieve desired accuracy and performance. - Generate forecasts based on trained models and real-time data. - Analyze forecast results and identify potential issues or areas for improvement. - Communicate forecast results to stakeholders clearly and concisely. - Work closely with cross-functional teams to understand business needs and requirements. - Collaborate with data scientists and engineers to develop and maintain data pipelines. - Monitor model performance, identify areas for improvement, retrain, and update models as needed. - Stay updated with the latest advancements in machine learning and forecasting techniques. Qualifications: - Bachelor's or Master's degree in a quantitative field like statistics, mathematics, computer science, or a related field. - 6 to 8 years of experience in machine learning, data analysis, or forecasting with a BPO background and past experience in forecasting through AI/ML. Skills: - Strong knowledge of machine learning algorithms and techniques. - Proficiency in programming languages like Python or R. - Experience with data analysis and visualization tools. - Strong analytical and problem-solving skills. - Excellent communication and interpersonal skills. Preferred: - Experience with specific forecasting techniques or tools. - Possess BPO background. - Experience working with large datasets. - Familiarity with cloud computing platforms.,

Job Description: As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for overseeing the entire application development process and ensuring its successful implementation. This role requires strong leadership skills and the ability to collaborate with cross-functional teams to deliver high-quality solutions. Key Responsibilities: - Expected to be an SME, collaborate, and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute to key decisions. - Expected to provide solutions to problems that apply across multiple teams. - Lead the effort to design, build, and configure applications. - Act as the primary point of contact for all application-related matters. - Oversee the entire application development process. - Ensure successful implementation of applications. Qualifications Required: - Must To Have Skills: Proficiency in BlueYonder Enterprise Supply Planning. - Good To Have Skills: Experience with BlueYonder Demand Planning. - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: The candidate should have a minimum of 12 years of experience in BlueYonder Enterprise Supply Planning. This position is based at our Gurugram office. A Relevant Degree is required.,

As a Lead Data Scientist at Cognitio Analytics, you will play a crucial role in driving business outcomes through the power of data analytics and insights. Your contributions will be key in making data-informed decisions, identifying growth opportunities, and propelling our organization to new levels of success. You will lead and mentor a team of data scientists, fostering an innovative environment for collaboration and learning. Your expertise in programming languages such as Python and R, along with proficiency in data manipulation, analysis, and visualization libraries, will be essential for guiding strategic initiatives. Deep understanding of machine learning algorithms, model evaluation, and feature engineering will enable you to build and deploy machine learning models effectively. Experience with frameworks like scikit-learn, TensorFlow, or PyTorch will be valuable for handling projects with end-to-end ownership. - Lead data science projects and teams, managing timelines and delivering results within deadlines. - Translate data insights into tangible business outcomes and drive data-informed decision-making. - Collaborate effectively in cross-functional teams, build relationships, and foster a culture of continuous learning. - Utilize statistical modeling techniques such as regression, clustering, time series analysis, and hypothesis testing. - Doctorate/Master's/bachelor's degree in data science, Statistics, Computer Science, Mathematics, Economics, commerce, or a related field. - Minimum of 6 years of experience working as a Data Scientist or in a similar analytical role, with experience leading data science projects and teams. - Experience in the Healthcare domain, including exposure to clinical operations, financial, risk rating, fraud, digital, sales and marketing, and wellness, e-commerce, or the ed tech industry. - Proficiency in programming languages such as Python and R, with expertise in data manipulation, analysis, and visualization libraries. - Deep understanding of ML and Deep Learning, along with experience with frameworks like scikit-learn, TensorFlow, or PyTorch. - Experience in building & deploying machine learning models in a cloud environment, with Microsoft Azure preferred (Databricks, Synapse, Data Factory, etc.). - Strong collaboration skills, excellent verbal and written communication skills, and the ability to understand business objectives and strategic priorities.,

Role Overview: You will be joining Indus Insights, a leading Data Science and Advanced Analytics consulting firm specializing in the banking, fintech, and Insurtech sectors. As part of the team, you will have the opportunity to work on diverse analytics projects for clients across various industries. Indus Insights emphasizes continuous learning, professional development, and a vibrant work culture. Key Responsibilities: - Drive analytics projects for clients by translating broad business problems into clear frameworks and deploying problem-solving approaches. - Manipulate and analyze datasets from different sources, utilizing advanced statistical techniques like regression and machine learning to create predictive algorithms and economic valuation models. - Collaborate with clients to understand their business context, address data issues, and present findings and recommendations periodically. - Independently write and parse complex SQL/Python code to support analytical tasks. - Participate in hiring activities and internal projects such as R&D and business development assistance. Qualifications Required: - Bachelor's degree in Technology, Economics, Commerce, or Statistics, or a Postgraduate degree with an MBA from a reputed institute. - 2-3 years of experience in Core Analytics, preferably in Financial Services analytics, with exposure to managing large datasets, developing statistical models, and presenting analyses. - Proficiency in tools like SQL, SAS, Python, R, Excel, and BI tools like Power BI or Tableau. About the Company: Indus Insights is a well-established consulting firm with a strong focus on professional development and work culture. The company values diversity of work, a talented team, and investing in employee growth. With a track record of high internal satisfaction scores, Indus Insights offers a dynamic and rewarding environment for individuals passionate about analytics and consulting.,

Role Overview: Expedia Group is seeking a Data Scientist II to join the Landing Analytics team, which plays a crucial role in shaping the traveler experience by utilizing data to inform decisions, optimize performance, and uncover opportunities for innovation. As a Data Scientist II, you will be part of a collaborative team that values transparency, continuous learning, and data-driven storytelling. This role offers a fantastic opportunity to contribute to meaningful projects that impact millions of travelers worldwide. Key Responsibilities: - Apply analytics principles to solve business problems with moderate guidance. - Extract, transform, and analyze data from multiple sources to build models and generate insights. - Design and execute experiments such as A/B tests and causal impact studies to evaluate business strategies. - Build and interpret models like linear/logistic regression and clustering, understanding their assumptions and applications. - Create clear, inclusive visualizations and dashboards to communicate insights to both technical and non-technical audiences. - Collaborate with stakeholders to refine project goals, iterate on solutions, and deliver impactful recommendations. - Write efficient, reproducible code and documentation using tools like GitHub, IEX, and Confluence. - Empower stakeholders through training and enablement on analytics tools and dashboards. - Demonstrate initiative in learning new modeling techniques and applying them to current projects. - Contribute to a culture of peer review, knowledge sharing, and continuous improvement. Qualifications Required: - Bachelors or Masters degree in Mathematics, Statistics, Computer Science, or a related field. - 2-3+ years of experience in data analytics or a comparable role. - Proven track record of delivering data-driven insights that influenced business decisions. - Proficiency in SQL, Python, R, or similar tools for data analysis and visualization. - Understanding of descriptive statistics, probability theory, and statistical testing. - Experience with data modeling techniques and experiment design. - Familiarity with big data challenges and performance optimization. - Ability to write intermediate SQL queries and build scalable data pipelines. - Strong critical thinking, problem-solving skills, effective communication, storytelling abilities, and business acumen. - Collaborative mindset, openness to feedback, and commitment to inclusive design and accessibility in data visualization.,

As a QA Engineer at Tartan Talent, you will be an essential part of our dynamic team, working on challenging and impactful projects to ensure the success of our products. We highly value ownership, collaboration, and proactive problem-solving approach. Your role will involve close collaboration with developers, product managers, and designers to deliver high-quality software in a supportive and innovative environment. **Key Responsibilities:** - **Test Planning and Strategy:** - Develop and execute comprehensive test plans and strategies, including risk assessments and test coverage analysis. - Collaborate with the development team to define acceptance criteria and ensure testability of features. - Participate in sprint planning and grooming sessions to provide valuable QA input. - **Test Execution And Automation:** - Design, develop, and maintain automated test scripts using appropriate testing frameworks (e.g., Selenium, Cypress, JUnit). - Perform manual and automated testing, including functional, regression, integration, performance, security, and usability testing. - Analyse test results, identify, and document defects effectively using bug-tracking tools. - **Quality Assurance:** - Advocate for quality throughout the entire software development lifecycle, from requirements gathering to release. - Proactively identify and mitigate potential quality risks. - Contribute to continuous improvement of testing processes and methodologies. - **Collaboration And Communication:** - Effectively communicate testing progress, issues, and findings to the development team and stakeholders. - Build and maintain strong relationships with cross-functional teams. - Participate in code reviews and provide constructive feedback. - **Data Analysis:** - Analyse test data and generate comprehensive test reports to track progress and identify trends. - Utilize data analysis techniques to improve test effectiveness and efficiency. **Qualifications Required:** - 2+ years of proven experience as a QA Engineer in an agile development environment. - Experience with cloud computing platforms (e.g., AWS, Azure, GCP) is a plus. **Technical Skills:** - Strong understanding of software development principles and methodologies (e.g., Agile, Scrum, DevOps). - Proficiency in API testing using tools like Postman, SoapUI, or REST Assured. - Familiarity with SQL and scripting languages (e.g., Python, Groovy). - Experience with performance and load testing tools (e.g., JMeter, LoadRunner) is a plus. Join Tartan Talent, where innovation and continuous learning thrive, and be part of a collaborative team dedicated to delivering high-quality software products.,

Role Overview: Expedia Group is looking for a high-performing Fraud Data Scientist to join their team. As a Fraud Data Scientist, you will be responsible for leading fraud analytics projects, detecting and preventing fraud using advanced analytics and machine learning, collaborating with stakeholders, and mentoring junior team members. You will play a critical role in shaping how the company detects and responds to emerging threats in order to protect customers and maintain the integrity of the platform. Key Responsibilities: - Lead fraud analytics projects from scoping to delivery, including feature engineering, model evaluation, and business impact analysis. - Collaborate with stakeholders to refine business questions, define success metrics, and ensure alignment with fraud prevention goals. - Apply supervised and unsupervised learning to detect fraud patterns, reduce false positives, and improve customer experience. - Design and evaluate experiments (e.g., A/B tests, pre/post analysis, causal impact) to measure the effectiveness of fraud interventions. - Build and maintain modular, scalable code and contribute to shared analytics libraries and documentation. - Translate complex findings into clear, actionable insights through storytelling, dashboards, and presentations. - Mentor junior analysts and contribute to a culture of collaboration, learning, and continuous improvement. - Leverage AI tools and emerging technologies to work smarter, automate repetitive tasks, and accelerate insight generation. Qualifications Required: - Bachelor's in Math/Statistics/Computer Science or related with 4+ years of work experience in data science/analytics (preferably fraud, risk, or Trust & Safety field), or - Master's in Math/Statistics/Computer Science or related with 2+ years of work experience in data science/analytics (preferably fraud, risk, or Trust & Safety field) - Proven track record of delivering data-driven insights that led to measurable business outcomes. - Proficient in Python, SQL, and/or R for data manipulation, modeling, and visualization. - Experience working with large-scale datasets and building reproducible analytics pipelines. - Solid understanding of statistical methods (e.g., regression, ANOVA, A/B testing, causal inference). - Familiarity with machine learning techniques (e.g., classification, clustering, anomaly detection) and their application in fraud detection. - Strong data visualization skills using tools like Plotly, Seaborn, ggplot, or similar. - Understanding inclusive design principles and ability to communicate insights to both technical and non-technical audiences.,

Luna is building the most intelligent, science-driven smart ring in the world at the intersection of physiology, behavior, and technology. We strive to create wearables that provide actionable insights and real-world wellness improvements. As a Quality Analyst (Automation Testing) at Luna in Gurgaon, you will be responsible for: - Designing, developing, and maintaining automated test scripts to ensure the quality and functionality of our software applications. - Leading a team of testers and collaborating closely with developers and product managers to identify, document, and resolve defects. - Designing, developing & maintaining automated test scripts using testing frameworks like Selenium & Appium. - Ensuring accurate reporting and documentation of test results. - Actively participating in software design reviews, code reviews, and team meetings. - Staying updated with emerging trends and technologies in test automation. Qualifications required for this role include: - Bachelor's degree in Computer Science, Engineering, or a related field. - Minimum 4 years of experience in automation testing. - Mandatory experience with automated testing frameworks such as Selenium and Appium. - Strong programming skills in languages like Java or JavaScript. - Knowledge of Agile software development methodologies, SDLC, and Requirement Analysis. - Ability to create and execute manual test cases, write Test Cases, and exposure to various testing types including Application Testing, Functional Testing, Regression Testing & Database Testing. - Exposure to Bug tracking and logging tools like Jira. - Excellent problem-solving skills, attention to detail, and ability to work collaboratively in a team environment. Join Luna's mission to build the world's most advanced LifeOS and contribute to creating impactful wearable technology.,

As a member of the American Express team, you will have the opportunity to be part of a global and diverse community committed to supporting customers, communities, and each other. Your career journey at American Express will be unique and meaningful, with benefits, programs, and flexibility that cater to your personal and professional growth. Role Overview: - You will report to the Manager of Membership experience analytics team within Enterprise Digital Experimentation & Analytics (EDEA) in Gurgaon. - Your main responsibility will be to deliver impactful analytics to optimize Digital Membership Experiences across Web & App channels. - You will define and establish key performance indicators (KPIs) to monitor the acquisition journey performance and success. - Supporting the development of new products and capabilities will also be part of your role. - You will deliver insights from experiments to optimize the customer journey and gain a deep understanding of product capabilities and associated platforms for actionable insights. - Your role will involve in-depth strategic analysis and providing decision support through data mining. Key Responsibilities: - Deliver strategic analytics for Digital Membership experiences across Web & App channels. - Define and create key KPIs for monitoring acquisition journey performance. - Support new product and capability development. - Provide insights from experiments to optimize the customer journey. - Gain a deep understanding of enterprise-wide product capabilities for actionable insights. - Conduct in-depth strategic analysis and provide decision support through data mining. Qualifications Required: - Advanced degree in a quantitative field (e.g., Finance, Engineering, Mathematics, Computer Science). - Strong programming skills, preferably with experience in Big Data programming languages (Hive, Spark), Python, SQL. - Experience in large data processing and handling, with an understanding of data science being a plus. - Ability to work in a dynamic, cross-functional environment with strong attention to detail. - Excellent communication skills to engage and influence partners for collaboration and alignment. Additional Details: - American Express offers competitive base salaries, bonus incentives, and support for financial well-being and retirement. - Comprehensive medical, dental, vision, life insurance, and disability benefits are provided depending on the location. - Flexible working arrangements include hybrid, onsite, or virtual options based on role and business needs. - Generous paid parental leave policies are available depending on your location. - Access to global on-site wellness centers with medical staff and counseling support through the Healthy Minds program. - Career development and training opportunities are also provided. Join Team Amex and together, let's lead the way towards growth and success.,

As a UI/UX Lead at Medocity, you will play a crucial role in mapping out design strategies for web and mobile platforms. Your responsibilities will involve collaborating with senior management and product teams to create user-friendly products and websites for an enhanced user experience. This position offers a significant opportunity to lead within a fast-growing company. **Key Responsibilities:** - Develop and test enterprise applications with at least 3 years of experience. - Conduct hands-on testing in Agile environments, specifically Scrum. - Perform black box manual testing, UI testing, and Web Application Testing. - Utilize product/defect management systems, preferably Jira. - Test mobile applications for functionality, stability, and performance, particularly in Android or iOS. - Implement automated testing for efficient product delivery. - Analyze requirements and create detailed Requirement Specifications documents. - Collaborate as a Business Analyst in Healthcare or other sectors. - Set up stability tests like Android Monkey testing and report bugs effectively. - Enhance processes and procedures for better efficiency. - Generate clear and concise test reports. - Adapt quickly to new testing techniques and technologies. - Automate functional and regression tests with maintainable code. - Support agile development methods and test-driven development. - Read user stories and conduct software product testing without the need for coding or automation. - Possess basic coding knowledge to write simple code, queries, and tools. - Familiarity with Xcode, Eclipse, Android SDK, or other mobile app SDKs and IDEs. **Qualifications Required:** - 3+ years of experience in developing/testing enterprise applications. - Proficiency in Agile testing, especially Scrum. - Experience in black box manual testing, UI and Web Application Testing. - Familiarity with product/defect management systems, preferably Jira. - Expertise in testing mobile applications for functionality, stability, and performance in Android or iOS. - Ability to automate tests for high-quality product delivery. - Experience in Requirements Analysis and creating detailed Requirement Specifications documents. Medocity offers competitive compensation, including stock options, and seeks individuals who are passionate about contributing to a healthier world. Join us in Gurgaon and be part of a dynamic team dedicated to IT software development in the Hospital & Health Care industry. If you are interested, please fill out the form above, and we will reach out to you soon. We are excited to hear from you!,

As a Telecom Networks Engineer, you will play a crucial role in working with 4G (LTE) and 5G network technologies. Your expertise in EPC, 5GC, IMS, and related core network components will be essential for the development and maintenance of the network. Your proficiency in system integration testing, regression testing, and protocol validation will ensure the smooth operation of the network. Your skills in log analysis, troubleshooting network issues, and end-to-end debugging will be invaluable for identifying and resolving any network-related issues. Key Responsibilities: - Perform system-level testing on 4G/5G core components. - Simulate network scenarios using Landslide or similar tools. - Analyze network traces and logs to isolate and fix issues. - Work closely with development and deployment teams. - Document test cases, results, and technical issues. Qualifications Required: - Strong hands-on experience with Landslide (Spirent), Wireshark, and other network simulators/test tools. - Knowledge of Diameter, S1AP, GTP, NGAP, SCTP, HTTP/2, PFCP, etc. - Expertise in 5G technology, log analysis, system integration testing, core network, and protocol validation.,

As an intern, your day-to-day responsibilities will include: - Researching, identifying, and understanding business requirements to identify opportunities for applying predictive modeling and machine learning techniques - Collaborating with cross-functional teams, including data scientists, software engineers, and domain experts, to define project objectives and requirements - Designing and implementing predictive modeling and machine learning solutions, including data preprocessing, feature engineering, and model selection - Developing and deploying predictive software applications into production, leveraging Python (or similar scripting languages) for efficient development - Demonstrating expertise in training and fine-tuning LLMs on diverse datasets, ensuring superior performance, and adapting models for specific applications and domains - Working with cloud-native solutions on platforms such as AWS, GCP, or Azure for scalability and flexibility - Applying a range of machine learning algorithms for different tasks, including classification (SVM, decision tree, random forest, neural network), regression (linear, polynomial, logistic, etc), and graph theory (network analytics) - Utilizing classical optimization techniques such as gradient descent and others for model optimization and parameter tuning - Utilizing deep learning techniques, including LSTM, convolutional neural networks (CNN), and recurrent neural networks (RNN), for tasks such as natural language processing, image recognition, or time series analysis - Experience with training ML models using Pytorch or tensorflow The company delivers business growth by providing AI-powered data enrichment and is currently working in stealth mode.,

Role Overview: As an Assistant Consultant - QA at our company based in Gurgaon, you will play a crucial role in ensuring the quality of our projects. With 0-1 year of experience, your excellent communication and writing skills will be essential in this role. You will need to possess good analytical, troubleshooting, and problem-solving skills to effectively analyze, discuss, and report defects. Your strong leadership skills will be instrumental in guiding junior testers and validating defect reports. Quick problem recognition, assessment, identification of alternatives, prioritization, and escalation when necessary will be key to resolving issues efficiently. Key Responsibilities: - Possess very good knowledge of STLC, SDLC, Test process, and AGILE methodology. - Provide timely progress reports of assignments to management for the assigned projects. - Understand and contribute to the Test Plan, Test Design, Regression Suite, and Defect Tracking. - Convert client requirements into system specifications and test plans. - Conduct Bug Tracking, Bug Reporting activities, and Risk Analysis. - Utilize hands-on experience in Jira or any defect tracking tool. - Demonstrate knowledge of various testing types and experience in writing SQL queries. - Screen and validate the application through database and system logs. - Perform web and Mobile Application Testing. - Conduct API Testing using Postman/Swagger. - Implement Automation testing using Java in Selenium. - Understand various Automation Frameworks like Hybrid, Data Driven, Keyword Driven, and Behavior Driven. - Obtain a Software Testing Certification (e.g., ISTQB). - Conduct Mobile automation testing using Appium. - Perform Performance testing using Jmeter. - Gain experience in STB Testing. - Utilize knowledge of GTmetrix for UI testing. - Experience in Jenkins for building automation pipeline for CI/CD, Maven, and Git. - Automate API with HTTP client and Rest Assured. - Have a basic understanding of security testing. Qualifications Required: - 0-1 year of experience in QA, Performance testing, Database Testing, Security Testing, Mobile Testing, STLC, SDLC, Test process, AGILE methodology, Test Design, Regression Suite, Defect Tracking, Bug Tracking, Bug Reporting activities, Jira, API Testing, Mobile automation testing, Automating API.,

Role Overview: As a Retail Specialized Data Scientist at Level 9 in the SnC GN Data & AI team, you will be responsible for utilizing advanced analytics, machine learning, and statistical modeling techniques to support data-driven decision-making in the retail sector. Your role will involve collaborating with various teams such as marketing, product management, supply chain, and customer insights to drive business strategies and innovations. The ideal candidate should possess experience in retail analytics and demonstrate the ability to transform data into actionable insights. Key Responsibilities: - Leverage Retail Knowledge: Utilize your in-depth understanding of the retail industry, including merchandising, customer behavior, and product lifecycle, to design AI solutions that cater to crucial retail business requirements. - Gather and clean data from diverse retail sources like sales transactions, customer interactions, inventory management, website traffic, and marketing campaigns. - Apply machine learning algorithms such as classification, clustering, regression, and deep learning to improve predictive models. - Utilize AI-driven techniques for personalization, demand forecasting, and fraud detection. - Implement advanced statistical methods to optimize existing use cases and develop new products to address emerging challenges and use cases. - Stay abreast of the latest trends in data science and retail technology. - Collaborate effectively with executives, product managers, and marketing teams to translate insights into actionable business strategies. Qualifications Required: - A solid understanding of retail industry dynamics, encompassing key performance indicators (KPIs) like sales trends, customer segmentation, inventory turnover, and promotions. - Strong communication skills to convey complex data insights to non-technical stakeholders, including senior management, marketing, and operational teams. - Attention to detail to ensure data quality, accuracy, and consistency while handling large, complex datasets. - Proficiency in Python for data manipulation, statistical analysis, and machine learning (libraries like Pandas, NumPy, Scikit-learn). - Expertise in supervised and unsupervised learning algorithms. - Minimum 3 years of experience in the field. - Educational background in Data Science, Statistics, Computer Science, Mathematics, or related disciplines. Note: The job description does not include any additional details about the company.,

As a Data Scientist, you will be responsible for building cutting-edge models using NLP, ML, and AI techniques to solve a variety of problems across different domains. Your main tasks will include working closely with the engineering team to deploy models in production, validating the models, and ensuring their effectiveness. - Possess expert-level knowledge in Natural Language Processing, Information Extraction, Scraping, and Text Mining Algorithms. - Strong familiarity with deep learning methods for text analytics. - Proficiency in Machine Learning algorithms such as XGBoost, Linear Regression, Logistic Regression, SVM, Random Forest, Bayesian Methods, Unsupervised Learning, and Reinforcement Learning. - Experience in time series analysis with real-world datasets. - Familiarity with technologies like Flask, FastAPI, and Hug. - Expert Python programmer. - Proven track record of expertise demonstrated through high-quality publications, competitions, or challenges. A minimum qualification of B.E/B.Tech in Computer Science, Electrical Engineering, or EXTC with a solid foundation in mathematics and statistics is necessary. Excellent communication skills, teamwork abilities, and the capacity to thrive in a startup environment are also essential for success in this role. In this role, you will be expected to take care of Text Analytics on Qualitative Customer Feedback and Call Center complaints conversations via Email or Chat. The ideal candidate should have 2 to 8 years of relevant experience, with a salary ranging from 15 Lac to 18 Lac P.A. The industry focus is on Analytics and Business Intelligence.,

Role Overview: The Data Science Analyst role within the GWFO team involves applying specialized knowledge in machine learning, statistical modeling, and data analysis to monitor, assess, analyze, and evaluate processes and data. As a Data Science Analyst, you will identify opportunities to leverage advanced analytics to improve business outcomes, automate processes, and generate actionable insights. Additionally, you will contribute to the development and deployment of innovative AI solutions, including generative AI and agentic AI applications, while collaborating with cross-functional stakeholders. Key Responsibilities: - Gather and process operational data from various cross-functional stakeholders to examine past business performance and identify areas for improvement. - Apply machine learning techniques to identify data patterns and trends, providing insights to enhance business decision-making capabilities in areas such as business planning, process improvement, and solution assessment. - Develop and implement machine learning models for predictive analytics, forecasting, and optimization. - Design, build, and deploy Generative AI solutions to enhance customer experience, automate tasks, and personalize interactions. - Experiment with agentic AI frameworks to create autonomous systems that can learn, adapt, and solve complex problems. - Develop tools and techniques to evaluate the performance and impact of AI solutions. - Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies, communicating findings clearly and effectively to business partners and senior leaders. - Continuously improve processes and strategies by exploring and evaluating new data sources, tools, and capabilities, focusing on cutting-edge AI technologies. - Work closely with internal and external business partners to build, implement, track, and improve decision strategies. - Appropriately assess risk when making business decisions, demonstrating consideration for the firm's reputation and compliance with applicable laws and regulations. Qualifications Required: - 7+ years of relevant experience in data science, machine learning, or a related field. - Advanced process management skills, being organized and detail-oriented. - Curiosity about learning and developing new skill sets, particularly in the area of artificial intelligence. - Positive outlook with a can-do mindset. - Strong programming skills in Python and proficiency in relevant data science libraries such as scikit-learn, TensorFlow, PyTorch, and Transformers. - Experience with statistical modeling techniques, including regression, classification, and clustering. - Experience building GenAI solutions using LLMs and vector databases. - Experience with agentic AI frameworks, such as Langchain, Langraph, MLOps. - Experience with data visualization tools such as Tableau or Power BI. - Must Have Other Skills: Strong Logical Reasoning Capabilities, Willingness to learn new skills, Good Communication and presentation skills. Education: - Bachelors/University degree or equivalent experience. This job description provides a comprehensive overview of the Data Science Analyst role within the GWFO team. Other job-related duties may be assigned as required.,

As a Principal Tech Lead / Data Scientist at Cvent, you will be primarily focused on data analysis, ML modeling, and Generative AI data products. Your responsibilities will include analyzing data across various areas of the organization, understanding end-to-end business processes, and developing solutions independently with minimal support. You will be tasked with developing strategies using data analysis and machine learning models to provide meaningful and actionable recommendations to stakeholders and leadership. In this role, your key responsibilities will include: - Collaborating with stakeholders at different levels to understand current processes and identify optimization or growth opportunities. - Augmenting data and insights to drive scale and efficiency for stakeholders and partners. - Working individually or as part of a team on data science and analytical projects. - Defining business problems and translating them into statistical/analytical problems. - Developing statistical and machine learning models using various techniques and technologies such as Python, SQL, Databricks, Snowflake, AWS, Excel, Sigma, etc. - Performing machine learning research on various types of data including numeric, text, audio, video, and image. - Leveraging LLMs for tasks like text summarization, categorization, and data gathering. - Documenting your work and results thoroughly for replication by other data scientists. - Creating data products on Streamlit and Sigma backed by machine learning models. Qualifications required for this role: - A bachelor's degree in a quantitative field such as natural sciences, math, statistics, or computer science. - 4 - 7 years of experience working as a data scientist in the industry. - Strong conceptual and technical understanding of machine learning, including model training and evaluation. - Proficiency in regression modeling, supervised and unsupervised classification, tree-based techniques, and prompt engineering best practices. - Deep understanding of emerging LLM technologies, Linux operating system, Python, SQL, AWS Cloud, Databricks, Streamlit, MS-Excel, and MS-PowerPoint. - Excellent verbal and written communication skills with attention to precision of language and logical organization of information. Join Cvent's Tech Lead team and be part of a culture that values diversity, celebrates differences, and fosters intrapreneurship to drive innovation in the meetings and events industry.,

As a Data Scientist at AiDASH, you will play a crucial role in extracting, cleaning, and analyzing large datasets from multiple sources using SQL and Python/R. Your key responsibilities will include: - Building and optimizing data scraping pipelines to process large-scale unstructured data. - Performing statistical analysis and data mining to identify trends, patterns, and anomalies. - Developing automated workflows for data preparation and transformation. - Conducting data quality checks and implementing validation procedures. - Building and validating ML models (classification, regression, clustering) using TensorFlow, Keras, and Pandas. - Applying feature engineering to enhance accuracy and interpretability. - Executing experiments, applying cross-validation, and benchmarking model performance. - Collaborating on A/B testing frameworks to validate hypotheses. - Working on predictive analytics for wildfire risk detection and storm damage assessment. - Translating complex business requirements into data science solutions. - Developing predictive models and analytical tools that directly support CRIS decision-making. - Creating interactive dashboards and automated reports for stakeholders. - Documenting methodologies and maintaining clean, production-ready code repositories. Qualifications required for this role include: - 4-5 years of hands-on experience in data science, analytics, or quantitative research. - Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or related field. - Strong programming skills in Python for data analysis and machine learning. - Proficiency in SQL and experience with relational databases. - Experience with ML libraries (scikit-learn, pandas, NumPy, Keras, TensorFlow). - Knowledge of statistical methods (clustering, regression, classification) and experimental design. - Familiarity with data visualization tools (matplotlib, seaborn, ggplot2 Tableau, or similar). - Exposure to cloud platforms (AWS, GCP, Azure) is a plus. - Proven experience with end-to-end model development (from data exploration to deployment). - Track record of delivering actionable insights that influenced business decisions. Please note that this job posting was by Alyma Khan from AiDASH.,