208 Data Mining Jobs nearby Vasai

A mining engineer plans, designs, and operates mines to extract natural resources, ensuring operations are safe, efficient, and environmentally responsible. Their responsibilities include analyzing geological data, designing mine layouts and infrastructure, developing extraction methods, monitoring production, managing equipment, overseeing construction and reclamation, and ensuring compliance with safety and environmental regulations. They work collaboratively with geologists, surveyors, and other specialists to balance resource extraction with sustainability.   Key Responsibilities Mine Design & Planning: Designing both open-pit and underground mines, including planning mine shafts, tunnels, and overall mine layouts.  Resource Assessment: Analyzing geological and geotechnical data to assess the viability of potential mine sites.   Extraction & Operations: Developing and implementing efficient and safe methods for extracting minerals and metals.  Equipment Design & Management: Designing and overseeing the operation of mining equipment, such as drills and haul trucks.  Safety & Environmental Oversight: Ensuring operations comply with safety regulations, implementing safety measures, and minimizing environmental impact through responsible practices and reclamation planning.  Monitoring & Optimization: Tracking production to assess operational effectiveness, identifying trends, and optimizing processes.  Reporting: Preparing technical reports for management and other engineers on mine production and operations.   Common Tasks  Inspecting and testing mining equipment. Analyzing ore deposits. Performing mine surveys and interpreting maps. Coordinating with geologists, environmental scientists, and surveyors. Managing construction of mine structures. Developing plans for land reclamation after mining operations conclude. Work Environment A mix of office-based work (planning, design, reports) and fieldwork on mine sites.  Often involves work in remote locations, though some positions are available near urban areas.  Collaboration with a multidisciplinary team of professionals.   

As a Celonis Analyst/Process Mining Consultant at NTT DATA, you will play a crucial role in utilizing Celonis EMS to enhance business processes and drive data-driven decision-making. With your expertise in process mining and analytics, you will identify inefficiencies, support automation, and contribute to process transformation initiatives. Here are the key responsibilities and qualifications for this role: Key Responsibilities: - Design and develop process mining analyses using Celonis EMS to identify process inefficiencies and improvement opportunities. - Collaborate with business stakeholders to gather requirements and map current processes. - Create dashboards, KPIs, and custom analyses using Celonis PQL and other platform features. - Provide insights from Celonis analyses to support process transformation initiatives. - Work with data engineers to extract, transform, and load relevant data into Celonis. - Continuously monitor, maintain, and enhance Celonis data models and visualizations. Qualifications: - 5+ years of experience in data analytics or process improvement roles, with at least 3 years specific to Celonis EMS. - Strong knowledge of process mining principles and methodologies. - Proficiency with PQL (Process Query Language) and Celonis IBC/EMS. - Experience integrating Celonis with ERP systems like SAP, Oracle, or ServiceNow. - Solid SQL skills and understanding of data modeling and ETL processes. - Strong analytical, communication, and problem-solving skills. Good to Have: - Knowledge of Python or R for extended analytics capabilities. - Familiarity with BPMN or process mapping tools. - Experience in Six Sigma, Lean, or other process improvement methodologies. - Celonis Analyst or Implementation certification. Education: - Bachelor's degree in Computer Science, Engineering, Business Analytics, or a related field. NTT DATA, a trusted global innovator of business and technology services with a commitment to helping clients innovate, optimize, and transform for long-term success, offers a diverse work environment with experts in more than 50 countries. As a Global Top Employer, NTT DATA invests significantly in R&D to support organizations and society in their digital transformation journey. Visit us at us.nttdata.com.,

Role Overview: As a Data Mining & Research Specialist at ISMG, you will play a crucial role in contributing to various data projects and ensuring the accuracy and currency of relevant information within the ISMG subscriber base. Your research efforts will be integral in maintaining standardized and customized data sets, thus supporting ISMG's customer base and internal business needs. Key Responsibilities: - Execute research projects involving standardized and customized data sets to cater to ISMG's customer base and internal business needs. - Contribute to the management of large data sets to ensure accuracy, integrity, and timely delivery of projects. - Collaborate with internal stakeholders, provide progress updates, and address challenges or potential roadblocks promptly. Qualifications Required: - Bachelor's Degree in Business, Marketing, Statistics, or related field preferred. - Minimum of one year of professional experience in Market Research fields. - Advanced expertise in Excel for handling complex data analysis tasks. - Proficiency in Microsoft Word and PowerPoint, ability to learn and adapt to other data and marketing programs quickly. - Preference for data manipulation or quantitative research experience; strong desire to learn if no prior experience. - Exposure to hierarchical databases and data software packages is advantageous. - Knowledge of Power BI is a significant advantage. - Excellent written and verbal communication skills, strong presentation abilities. - Exceptional time management and project management skills. (Note: Additional details such as the company's location and in-office presence requirements have been omitted from the job description.),

You will be joining Improzo, a company focused on delivering quality-led commercial analytical solutions to clients in the Life Sciences industry. As the Director of Life Science Commercial Data Analytics, you will play a crucial role in developing and implementing innovative data-driven strategies to optimize commercial performance. Here is a breakdown of what you can expect in this role: **Key Responsibilities:** - Lead the development and execution of the commercial data analytics strategy aligning with business objectives. - Manage analytics projects from start to finish, collaborating with stakeholders to define project objectives. - Oversee the design and implementation of advanced analytics solutions and algorithms, including predictive modelling. - Provide guidance and mentorship to a team of analysts, ensuring they have the necessary tools and knowledge. - Develop and maintain a robust data infrastructure, utilizing statistical techniques to derive insights from complex datasets. - Stay updated on the latest advancements in data science and technology to identify opportunities for business improvement. **Qualifications:** - Bachelor's or Master's degree in a quantitative field like computer science, statistics, or mathematics. - 8+ years of experience in data-driven roles with a strong understanding of the life sciences and bio-pharma industry. - Proven experience in leading high-performing analytics teams and delivering projects across commercial analytics. - Strong understanding of data warehousing, data mining, and data visualization tools. - Proficiency in programming languages like R or Python, familiarity with SQL, and experience with data visualization tools. - Knowledge of cloud-based data platforms such as AWS, Azure, or Google Cloud. - Understanding of pharmaceutical or biotech industry regulations and compliance requirements. - Excellent communication, presentation, and interpersonal skills. - Attention to detail, quality-driven mindset, and client-centric approach. - Ability to work independently and as part of a cross-functional team, with strong leadership skills. In addition to the exciting challenges of the role, you can look forward to a competitive salary and benefits package, the opportunity to work on cutting-edge Analytics projects, a collaborative work environment, and professional development and growth opportunities. You will be joining Improzo, a company focused on delivering quality-led commercial analytical solutions to clients in the Life Sciences industry. As the Director of Life Science Commercial Data Analytics, you will play a crucial role in developing and implementing innovative data-driven strategies to optimize commercial performance. Here is a breakdown of what you can expect in this role: **Key Responsibilities:** - Lead the development and execution of the commercial data analytics strategy aligning with business objectives. - Manage analytics projects from start to finish, collaborating with stakeholders to define project objectives. - Oversee the design and implementation of advanced analytics solutions and algorithms, including predictive modelling. - Provide guidance and mentorship to a team of analysts, ensuring they have the necessary tools and knowledge. - Develop and maintain a robust data infrastructure, utilizing statistical techniques to derive insights from complex datasets. - Stay updated on the latest advancements in data science and technology to identify opportunities for business improvement. **Qualifications:** - Bachelor's or Master's degree in a quantitative field like computer science, statistics, or mathematics. - 8+ years of experience in data-driven roles with a strong understanding of the life sciences and bio-pharma industry. - Proven experience in leading high-performing analytics teams and delivering projects across commercial analytics. - Strong understanding of data warehousing, data mining, and data visualization tools. - Proficiency in programming languages like R or Python, familiarity with SQL, and experience with data visualization tools. - Knowledge of cloud-based data platforms such as AWS, Azure, or Google Cloud. - Understanding of pharmaceutical or biotech industry regulations and compliance requirements. - Excellent communication, presentation, and interpersonal skills. - Attention to detail, quality-driven mindset, and client-centric approach. - Ability to work independently and as part of a cross-functional team, with strong leadership skills. In addition to the exciting challenges of the role, you can look forward to a competitive salary and benefits package, the opportunity to work on cutting-edge Analytics projects, a collaborative work environment, and professional development and growth opportunities.

As a Senior Analyst/Data Engineer in Big Data Analytics & Engineering at Mastercard, your role will involve focusing on data engineering and data unification across various data assets to enable a unified view of data from multiple sources. Your primary responsibility will be to support the development of new innovative data-driven cyber products, services, and actionable insights. - Perform data ingestion, aggregation, and processing to drive relevant insights from available data sets. - Collaborate with different teams such as Product Manager, Data Science, Platform Strategy, and Technology to understand data needs and deliver data solutions that generate business value. - Manipulate and analyze complex, high-volume data from different sources using various tools and techniques. - Identify innovative ideas, deliver proof of concepts, and propose new products, services, and enhancements. - Integrate new data assets to increase value for customers and enhance existing solutions. - Analyze large volumes of transaction and product data to generate insights and recommendations for business growth. - Gather feedback from clients, development, product, and sales teams for new solutions or product enhancements. - Apply knowledge of metrics, measurements, and benchmarking to complex solutions. - Good understanding of Python, Pandas, Numpy, PySpark, and Impala. - Experience in data analysis and extraction on Hadoop. - Familiarity with Enterprise Business Intelligence Platform/Data platform. - Strong SQL and higher-level programming skills with knowledge of data mining, machine learning algorithms, and tools. - Experience with data integration tools like ETL/ELT tools (e.g., Apache NiFi, Azure Data Factory, Pentaho, Talend). - Hands-on experience in data modeling, programming, querying, data mining, and report development using large volumes of granular data. - Exposure to collecting and working with data, standardizing, summarizing, offering initial observations, and highlighting inconsistencies. - Strong understanding of analytical methods and data visualization for supporting business decisions. - Ability to work in a fast-paced, deadline-driven environment both as a team member and an individual contributor. - Skilled in articulating solution requirements for business, analytical, and technical teams.,

Role Overview: As a Senior Analyst, Internal Audit AML/BSA Data Scientist at Synchrony, you will be a key member of the Internal Audit team, reporting to the VP of Internal Audit Compliance and Risk Management. Your role involves leveraging data science and data engineering to support AML/BSA audit activities. You will be responsible for creating advanced analytics solutions to enhance decision-making processes and provide robust data analytics support to the audit team. Your innovative solutions will improve audit efficiency, automate processes, and generate actionable insights, working closely with audit professionals and stakeholders to drive continuous improvement in AML/BSA audit practices. Key Responsibilities: - Deliver advanced analytics to support AML/BSA audit activities, including cycle audits, issue validation, remediation activities, and special projects. - Design and deploy analytic scripts and dashboards to communicate actionable insights to audit stakeholders. - Ensure the accuracy and integrity of data used in AML engagements through data transformation techniques. - Deploy automation on repetitive audit tasks using data analytics and data engineering techniques. - Collaborate with the Internal Audit team and remediation teams to understand audit test objectives, data requirements, and integrate data insights into action plans. - Lead data analytics from beginning to end, including ideation, data mining, strategy formulation, and presentation of results and recommendations. Qualifications Required: - Bachelor's degree in Engineering, Computer Science, Data Science, or related fields with a minimum of 3+ years of experience in writing and optimizing SQL/SAS queries in a business environment. In lieu of a degree, 5+ years of experience in the same. - Knowledge of data warehouse technical architecture, ETL, and analytic tools for extracting unstructured and structured data. - Proficiency in coding with Python, experience with visualization software like Tableau or Power BI, and managing, moving, and manipulating data from multiple sources. - Familiarity with segmentation techniques and model development techniques. - Ability to provide analytic support, interpret data, make strategic recommendations, and present to key stakeholders. - Strong communication, relationship building, influencing, collaboration, and project management skills. - Ability to work independently, multitask, and prioritize projects effectively. Additional Company Details: Synchrony, a premier consumer financial services company, offers a complete digitally enabled product suite across various industries. The company has been recognized for its inclusive workplace culture, career advancement opportunities, and employee benefits that prioritize work-life integration and overall well-being. As a remote position, you will have the flexibility to work from home, with occasional in-person engagement activities at the nearest office for team meetings, training, and culture events. Grade/Level: L09 Work Timings: 3:00 PM to 12:00 AM IST Eligibility Criteria: - Bachelor's degree in Engineering, Computer Science, Data Science, or related fields with a minimum of 3+ years of experience in writing and optimizing SQL/SAS queries in a business environment. In lieu of a degree, 5+ years of experience in the same. - Enhanced Flexibility and Choice offered in Synchrony India, requiring availability between 06:00 AM Eastern Time and 11:30 AM Eastern Time for meetings with India and US teams, with flexible remaining hours for the employee to choose.,

Role Overview: As an Analyst at FedEx, you will work with global sales stakeholders on the analysis of pricing strategy and other ad-hoc analysis for strategic customers. You will collaborate with stakeholders to understand pricing requirements, analyze large data sets to draw insights from historical data, provide recommendations, and create visibility for effective decision-making. Additionally, you will offer recommendations to management on process improvement opportunities and work with the team to enhance processes and improve customer experience. Key Responsibilities: - Design and implement advanced processes and analytics related to various data sets for data/text mining, analysis, and prediction to facilitate informed business decisions. - Utilize highly technical analysis techniques to examine structured and unstructured data from multiple sources, identifying trends, patterns, and opportunities. - Collaborate with cross-functional teams to improve data quality and analytics processes. Qualifications Required: - Bachelor's degree in information systems, computer science, or a quantitative discipline. A Master's degree in a relevant field is preferred. - For the Data Analyst Senior role, a minimum of 4 years of experience is required. For the Data Analyst role, a minimum of 2 years of experience is needed. For the Data Analyst Associate role, 0-2 years of experience is acceptable. - Experience with ETL in platforms such as SAS, AbInitio, or Python. - Proficiency in SQL and experience with RDBMS like Oracle, SQL Server, and Teradata. - Exposure to Power BI and VBA Macros. - Knowledge of Azure Databricks is a plus. Additional Company Details: FedEx is committed to fostering a diverse, equitable, and inclusive workforce where fair treatment and growth opportunities are provided for all employees. The company follows the People-Service-Profit philosophy, ensuring that employees are well taken care of, leading to exceptional service for customers and profitability. FedEx values its team members and invests back into the business and its people, creating a work environment that encourages innovation and quality service delivery. Note: The job will close at 12 am on the posting close date, so ensure to submit your application before the deadline.,

Role Overview: You will be the Vice President within the Asset and Wealth Management Client Onboarding Regulatory & Analytics Center of Excellence (CoE) at J.P. Morgan Chase. Your role will involve leading high-impact initiatives such as data quality root cause analysis and regulatory inquiries. You will collaborate with various teams to deliver insights and support regulatory and management requests. It is essential to have a strong technical background and expertise in modern data environments and advanced analytics tools. Your responsibilities will include ensuring analytic approaches are robust, scalable, and compliant with governance standards, as well as effectively communicating findings to stakeholders. Key Responsibilities: - Lead and support initiatives such as data quality root cause analysis, regulatory inquiries, management requests, and data lineage analysis. - Oversee onboarding/KYC-related and data remediation activities, including duplicate remediation, ensuring timely and effective delivery. - Perform deep data profiling and analysis using advanced data tools and environments. - Develop and deliver data product prototypes and analytic solutions to address business needs and drive strategic decision-making. - Champion automation initiatives leveraging Intelligent Automation (IA) platforms. - Collaborate with business, technology, and control partners to understand requirements, deliver insights, and support regulatory and management requests. - Drive impactful solutions to complex business and data challenges within the Data Profiling and Ad Hoc Data Science team. - Translate business needs into actionable data solutions as a subject matter expert in wealth and asset management, customer, account, and related data domains. - Influence stakeholders and lead initiatives independently or as part of a team, serving as a regional liaison for global teams on data and control matters. Qualification Required: - Demonstrate extensive experience in data analytics, data mining, data processing, and data remediation. - Utilize advanced business intelligence tools such as SQL, Alteryx, QlikView, Tableau, and Snowflake. - Manage multiple tasks independently in a fast-paced environment. - Exercise strong judgment to balance strategic vision with pragmatic delivery. - Build and grow data science capabilities while developing talent. - Establish strong working relationships with key stakeholders through excellent interpersonal skills. - Initiate and organize complex projects as a self-starter with robust organizational skills. - Influence executives and project teams to drive outcomes. - Communicate effectively and engage stakeholders to resolve complex issues. - Collaborate across diverse functions, locations, and businesses with a team-oriented mindset. - Adapt quickly to the demands of a fast-paced and highly regulated industry.,

Role Overview: As a Data Scientist II, you will be responsible for utilizing your advanced analytical skills to extract insights from complex datasets. Your primary objective will be to develop and implement machine learning algorithms and statistical models to solve business problems effectively. By leveraging your expertise in data mining and visualization techniques, you will contribute to enhancing decision-making processes within the organization. Key Responsibilities: - Utilize advanced analytical skills to extract insights from complex datasets - Develop and implement machine learning algorithms and statistical models - Contribute to enhancing decision-making processes by leveraging data mining and visualization techniques - Work closely with cross-functional teams to gather requirements, conduct data analysis, and present findings - Communicate complex technical concepts to non-technical stakeholders to drive data-driven decision-making - Stay updated on the latest trends in data science and contribute innovative ideas to improve processes Qualifications Required: - Strong background in statistics, mathematics, and computer science - Proven track record of successfully applying machine learning techniques to real-world problems - Proficiency in programming languages such as Python, R, or SQL - Experience working with big data technologies like Hadoop or Spark (Note: No additional details about the company were present in the job description),

As the Data Governance Foundation Lead Analyst at Citi, you will play a crucial role in contributing to the directional strategy and assisting in the creation and modification of Enterprise Data Governance Strategy, Data Risk and Control Framework, and Data Risk Taxonomy. Your focus may include assisting in identification, measurement, and reporting, data policy adoption and compliance, data controls framework performance, issue management process, and regulatory and audit response and action tracking. Your dynamic and flexible nature will be essential in responding to quickly changing needs, handling ambiguity and complexity, and delivering on multiple responsibilities. Developed communication and diplomacy skills will enable you to guide, influence, and convince others effectively. **Responsibilities:** - Partner with multiple teams to implement relevant Data Governance policies and/or Data Risk and Control framework - Design, implement, and monitor Data Quality scorecards to ensure completeness, accuracy, and timeliness for Wholesale Credit Risk data - Identify and thoroughly investigate recurring data concerns, including potential false positives, collaborating with Technology and other key stakeholders to address them effectively - Collaborate closely with internal and external business partners to build, implement, track, and improve Data Quality control processes - Leverage Machine Learning and other advanced analytical methods to identify complex data patterns and trends, providing actionable insights to enhance the quality of data supporting Credit Risk reporting **Qualifications:** - 10+ years relevant experience in SQL/Python/Tableau - Familiarity with Wholesale Credit Risk and financial markets instruments - Data tracing, Data mining, visualization, analysis, identifying patterns/trends, exploratory data analysis, root cause analysis - Ability to monitor tight deadlines or unexpected requirement changes, with the ability to anticipate and balance the needs of multiple stakeholders - Effective communication skills to develop and deliver multi-mode communications that convey a clear understanding of the unique needs of different audiences **Education:** - Bachelor's/University degree, Master's degree preferred In this role, you will utilize skills related to Constructive Debate, Data Governance, Data Management, Data Quality, Internal Controls, Management Reporting, Policy and Procedure, Program Management, Risk Controls and Monitors, Risk Management. If you possess complementary skills or have any questions, please feel free to reach out to the recruiter. If you are a person with a disability and require a reasonable accommodation to use our search tools and/or apply for a career opportunity, please review Accessibility at Citi. View Citis EEO Policy Statement and the Know Your Rights poster for more information.,

As a Data Analyst, your role involves analyzing data to discover trends, patterns, and relationships. You will be responsible for maintaining the integrity of automated reports and designing controlled experiments to optimize new opportunities across business channels. Your key responsibilities include: - Identifying best-performing customer segments for precise targeting methods - Developing and maintaining reporting dashboards to facilitate decision-making - Monitoring performance trends and evaluating opportunities - Establishing instrumentation and reporting standards cross-functionally - Creating actionable dashboards and reports - Reviewing data quality and providing guidance to data providers - Handling ad hoc data requests - Staying updated on industry tools and competitor marketing strategies - Managing scheduled and ad hoc reports on new customer counts, marketing triggers impact, and product performance - Analyzing results and identifying performance improvement opportunities Qualifications required for this role include: - Bachelor's degree in Mathematics, Statistics, or a quantitative field - Experience with Tableau; Tableau Qualified Associate Certification preferred - Experience with SQL, Postgres, and RedShift is a plus - High proficiency in Excel modeling, data mining, and scenario analysis - Strong analytical and quantitative skills with attention to detail - Self-starter with excellent written and verbal communication skills - Ability to thrive in a fast-paced and ambiguous environment - Capability to work independently and collaboratively towards common goals This role offers the opportunity to work with a dedicated team in a dynamic and challenging environment, where your analytical skills will play a crucial role in driving business decisions.,

As a Process Mining Specialist, your role involves utilizing process mining tools such as Celonis to evaluate, analyze, and optimize business processes. You will apply task mining techniques to capture user interactions and identify automation opportunities. Working with large datasets, you will extract insights and integrate data from various enterprise systems like ERP and CRM. Your responsibilities also include identifying process bottlenecks, inefficiencies, and automation opportunities using data-driven insights. Collaborating with tools like UiPath, Automation Anywhere, or Blue Prism, you will design and implement automation solutions. Additionally, you will develop dashboards and reports using tools like Power BI to communicate process performance and continuous improvements. Collaborating with business users, process owners, and IT teams is essential to translate findings into actionable improvements. Preferred qualifications for this role include having overall 5+ years of experience, including 2+ years specifically in process improvement, diagnostics, or process mining. Hands-on experience with process mining platforms like Celonis, SAP Signavio, or similar tools is required. Proficiency in data analysis and visualization tools such as SQL, Python, and Power BI is essential. Experience working with ERP systems like SAP or Oracle, and CRM systems is beneficial. Excellent communication and stakeholder management skills are also preferred. Familiarity with RPA technologies like UiPath, Automation Anywhere, and Blue Prism is considered a plus. In summary, your key responsibilities will include: - Utilizing Celonis or other process mining tools to evaluate, analyze, and optimize business processes - Applying task mining techniques to capture user interactions and identify automation opportunities - Working with large datasets, extracting insights, and integrating data from various enterprise systems - Identifying process bottlenecks, inefficiencies, and automation opportunities using data-driven insights - Designing and implementing automation solutions by collaborating with UiPath, Automation Anywhere, or Blue Prism - Developing dashboards and reports using tools like Power BI to communicate process performance and continuous improvements - Collaborating with business users, process owners, and IT teams to translate findings into actionable improvements - Ensuring accurate process discovery with a focus on case ID configuration and event completeness - Staying updated on process mining trends, AI-driven process discovery, and automation strategies - Providing workshops and training sessions for internal teams to enhance process mining adoption and process improvement methodologies,

Role Overview: As a Data Analytics Senior Analyst at our company, you will be a seasoned professional who applies in-depth disciplinary knowledge to contribute to the development of new techniques and processes. Your role involves integrating subject matter expertise within a defined area, requiring a good understanding of how different areas collectively integrate within the sub-function to contribute to the function's objectives and overall business goals. Your analytical skills will be crucial in filtering, prioritizing, and validating complex information from multiple sources, and your strong communication and diplomacy skills will be essential as you assume informal/formal leadership roles within teams. Key Responsibilities: - Applying in-depth disciplinary knowledge to develop new techniques and improve processes and work-flows. - Coordinating data science initiatives to contribute to the overall business objectives. - Leading coaching and training sessions for new recruits. - Influencing decisions, work, and performance of teams through advice, counsel, and facilitating services. - Conducting strategic data analysis, identifying insights, making strategic recommendations, and developing data displays for clear communication. - Mining and analyzing data from various banking platforms to optimize performance and improve data quality. - Delivering analytics initiatives to address business problems, identifying required data, assessing time and effort, and establishing project plans. - Consulting with business clients to identify system functional specifications and recommending solutions for complex system issues. Qualifications Required: - 8+ years of experience using tools for statistical modeling of large data sets. - Strong experience in Python/PySpark Development. - Ability to effectively use complex analytical, interpretive, and problem-solving techniques. - Demonstrated interpersonal, verbal, and written communication skills. Additional Details: You will also be responsible for ensuring the quality of work provided by yourself and others, impacting the business directly by assessing risks and implications of technology applications, and driving communication between business leaders and IT. Your role will involve safeguarding the company's reputation and assets by ensuring compliance with laws, rules, and regulations. Education: - Bachelors/University degree or equivalent experience This job description provides a summary of the work performed, and other job-related duties may be assigned as required.,

Role Overview: As an Analyst in Global Data Science & Analytics, you will collaborate with a team of data scientists and data engineers to deliver innovative data science solutions. Your role will involve supporting various analytics projects for internal and external stakeholders, such as providing real-time market share insights, guiding clinical trial design through analytics, and identifying eligible patients for therapies. Utilizing machine learning, artificial intelligence, statistical modeling, data mining, and visualization techniques, you will contribute to solving a diverse set of complex business problems. Key Responsibilities: - Lead activities to ensure the smooth operation of machine learning models post-deployment, making necessary adaptations for optimal performance. - Prepare datasets for statistical analysis, conduct data quality checks, and troubleshoot programming issues using languages like SAS, R, or similar. - Assist in summarizing relevant background materials, clinical study papers, and publications to provide support for various studies. - Interpret and present results effectively through figures, tables, and reports, including detailed explanations of data and analysis. - Collaborate within a team to understand complex data challenges and develop solutions to address business problems effectively. Qualification Required: - Bachelor's degree in a STEM field. - Familiarity with at least one programming language such as Python, PySpark, SQL, R, or SAS. - Knowledge of at least one database software like Databricks or SQL. - 1-year experience in the medical device industry or working with health insurance claims is preferred. - Ability to work independently and as part of a team, prioritize tasks effectively, and demonstrate good organizational and time management skills. - Strong communication skills both orally and in writing, with excellent attention to detail and accuracy. - Experience in a life sciences environment is a plus. Additional Company Details (if available): The Analyst position offers the opportunity to work on cutting-edge data science projects within a dynamic and collaborative team environment. You will have the chance to contribute to impactful analytics solutions that address challenging business problems and drive innovation in the healthcare industry.,

As a member of the Digital Advisory team at Arcadis, your role will involve assisting in data extraction from various sources such as PDFs, images, and databases. You will also support optical character recognition processes for digitizing data from images and contribute to understanding data through natural language processing. Your responsibilities will extend to collaborating with business domain experts to derive business value drivers and documenting model design choices and algorithm selection processes. Additionally, you will collaborate effectively in cross-functional teams within the CoE and the organization at large, proactively seeking opportunities to contribute beyond assigned tasks. Qualifications & Experience: - Fresh graduates or candidates with 0-1 year of experience as a Python Developer/ Data Scientist - Proficiency in Python with a focus on developing foundational skills - Exposure to NLP and image processing concepts - Familiarity with version control systems like Git - Basic understanding of Azure deployments - Aptitude for OCR, ML model training, and transfer learning - Willingness to work with unstructured data formats such as PDFs, DOCX, and images - Familiarity with data science best practices and the ML lifecycle - Tool Exposure: Basic understanding of Power BI, KNIME, Git, Azure, Python, and R programming - Data mining, cleaning, and engineering skills - Visualization and data analysis capabilities - Software development experience Arcadis is committed to providing equal opportunities for all employees to be their best and contribute to the company's success. By joining Arcadis, you will have the opportunity to work on meaningful projects that deliver sustainable solutions for a more prosperous planet. Your unique experience and expertise will be valued as you carve your career path and make a significant impact. Join Arcadis and be a part of creating a lasting legacy.,

As an intern in this role, you will be responsible for generating and qualifying new leads for the sales team. Your tasks will include researching faculty and decision-makers from colleges/universities, as well as verifying and organizing lead data in Excel/CRM. You should be skilled in web research and Excel, demonstrating a detail-oriented approach to tasks. Being a multitasker and quick learner will be advantageous in this position. **Key Responsibilities:** - Generate and qualify new leads for the sales team - Research faculty and decision-makers from colleges/universities - Verify and organize lead data in Excel/CRM - Utilize web research and Excel skills effectively **Qualifications Required:** - Detail-oriented - Ability to multitask - Quick learner Please note that this internship requires in-person work at the specified location.,

**Job Description:** Join an industry trailblazer in cloud-first networking and security services at an unparalleled time of transformation as a Senior Data Scientist within the data science team. You will lead pivotal AI Ops and Generative AI projects, turning innovative ideas into impactful AI solutions in close collaboration with software engineering and product teams. The role requires a blend of technical prowess in AI and ML solutions, a passion for simplifying complex network security issues, and the drive to be a part of a leading team shaping the future of networking technologies. **Key Responsibilities:** - Set the vision and goals for AI Ops and Generative AI efforts, emphasizing project impact and ML system design. - Adapt standard machine learning methods for maximum efficiency using cloud computing and GPUs. - Lead in the development of ML best practices and foster an engineering culture of collaboration and continuous improvement. - Develop scalable classifiers and tools addressing recommendation, classification, and optimization. - Collaborate on feature roadmaps and work closely with the engineering team to deliver ML solutions. **Qualification Required:** - Proficiency in Machine Learning and Data Mining. - Expertise in Python and Spark development and debugging. - Proven track record in technical leadership and project management. About Akraya: Akraya is an award-winning IT staffing firm consistently recognized for its commitment to excellence and a thriving work environment. They were recognized as Inc's Best Workplaces 2024, Silicon Valley's Best Places to Work by the San Francisco Business Journal (2024), and Glassdoor's Best Places to Work (2023 & 2022). Akraya is an industry leader in IT staffing, providing solutions for Fortune 100 companies and offering a workplace that inspires. Join Akraya today to experience the Akraya difference and lead your dream career.,

We are looking to hire a data analyst to join our data team. You will take responsibility for managing our master data set, developing reports, and troubleshooting data issues. To do well in this role you need a very fine eye for detail, experience as a data analyst, and a deep understanding of the popular data analysis tools and databases. Data Analyst Responsibilities: Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analysts if necessary. Commissioning and decommissioning of data sets. Processing confidential data and information according to guidelines. Helping develop reports and analyses. Managing and designing the reporting environment, including data sources, security, and metadata. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Evaluating changes and updates to source production systems. Training end-users on new reports and dashboards. Providing technical expertise in data storage structures, data mining, and data cleansing.

You are a strategic thinker passionate about driving solutions in Market Analytics & Reporting. You have found the right team. As a Market Analytics & Reporting Professional within our Market Analytics & Reporting Team (MART), you will be responsible for setting and improving our organizational objectives, and ensuring their consistent accomplishment. **Key Responsibilities:** - Analyze large datasets from various systems to derive meaningful insights. - Manage BAU, ad-hoc tasks, and queries independently. - Gather, understand, and document business requirements, including BRDs and Functional Specifications. - Collaborate closely with the technology team to explain requirements and test developed solutions. - Perform UAT in coordination with Operations Leads. - Interact with other Tech teams for system inputs and enhancements. - Manage projects end-to-end, ensuring quality output within timelines. - Communicate progress to senior management and escalate issues timely. - Liaise with global technology and operations teams for potential re-use. - Adhere to key control, regulatory, and audit standards. - Drive process improvement initiatives across regional and global projects. **Qualifications Required:** - Graduate or Post-Graduate with at least 6 years of experience in operations and MIS reporting. - Proficient in data analysis, data mining, and system analysis. - Experienced in UI technologies such as Qliksense or Tableau. - Strong business knowledge in Investment Banking, including product, process, and system knowledge. - Ability to think and act strategically, dealing with day-to-day issues and executing projects. - Excellent attention to detail and ability to know when a deep-dive approach is appropriate. - Ability to drive results through a "hands-on" approach. - Excellent verbal and written communication skills. - Skilled in MS Office applications, including Outlook, PowerPoint, Excel, Word, Access, and Project. - Ability to operate effectively in a dynamic environment with tight deadlines. If you are looking for additional details about the company, kindly provide them separately.,

You are a strategic thinker passionate about driving solutions in Transformation. You have found the right team. As a Controllers Data Transformation- Vice President in our Finance team, you will spend each day defining, refining and delivering set goals for our firm. **Job Responsibilities:** - Spearhead the integration of cutting-edge technologies, including Large Language Model (LLM) APIs, to drive scalable product development and enhance strategic transformation initiatives. - Develop and implement a comprehensive digital strategy that aligns with company goals, fostering innovation across technology and product domains to build future-readiness. - Optimize business processes, streamline workflows, and enhance operational efficiency. - Collaborate with cross-functional teams to identify process improvements, drive operational efficiencies, and enhance customer experience. - Build relationships with internal and external stakeholders, including board members, regulators, and industry partners. - Track the progress of transformation initiatives, analyze results, and provide regular reports to management. - Monitor business unit performance against the business plan and service level agreements; identify gaps. - Recruit, develop, and manage a high-performing team of transformation professionals. - Act as a subject matter expert and advisor to new or lower-level employees. - Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding assets. - Drive compliance with applicable laws, rules, and regulations, adhering to policy and applying sound ethical judgment. - Directly impact the business by influencing strategic functional decisions through advice, counsel, or provided services. - Persuade and influence others through comprehensive communication and diplomacy skills. **Required qualifications, capabilities, and skills:** - Master's degree in Computer Science, Data Science, or equivalent field. - 15+ years of overall IT Experience working as Transformation lead, Data. - Technology literacy in ETL (Export, Transform, and Load Automation), AI ML as a technology, Workflow automation, Robot process automation, Data Science, and Statistics. - Experience with statistical techniques - i.e. data mining, data transformations, text mining, data visualization. - Comfort with ambiguity and proven ability to structure problems. - Ability to work collaboratively in a fast-paced, dynamic environment. **Preferred qualifications, capabilities, and skills:** - Demonstrated expertise in data wrangling and model building on a distributed Spark computation environment (with stability, scalability, and efficiency). - Experience on Agile and CI-CD process. Diploma or degree in Innovation Management. - Design and process improvement certification. Lean Six Sigma Black belt certified. Design thinking certification. - Outstanding written/verbal communication and presentation skills.,