3878 R Jobs - Page 9

YoCreativ is looking for Data Analyst to join our dynamic team and embark on a rewarding career journey Collecting and analyzing large data sets using statistical and data visualization tools Identifying patterns, trends, and correlations in data to inform business decisions Developing and maintaining databases, data systems, and data analytics tools Developing and implementing data analysis processes and methodologies Creating and delivering reports and presentations that clearly communicate data insights to management and other stakeholders Collaborating with other departments, such as marketing and operations, to develop data-driven solutions to business problems Ensuring data accuracy, completeness, and integrity Designing and conducting experiments to test hypotheses and validate assumptions Developing and maintaining predictive models to forecast business outcomes

- Collect, organize, clean and preprocess data from various sources, including databases, spreadsheets, and APIs to ensure accuracy and reliability. - Perform exploratory data analysis to identify trends, patterns, and correlations. Required Candidate profile - 4+ years of experience working as Data Analyst or in similar role. - Proficiency in SQL, Python, R or other programming languages used for data analysis. - Experience with data visualization tools

Primary Responsibilities: Design and execute real-world evidence studies using diverse data sources such as claims, EHR, and patient surveys to evaluate the value of medical interventions Conduct advanced statistical and econometric analyses to support health outcomes research and inform healthcare decision-making Collaborate with cross-functional teams and clients to develop research protocols, manage project timelines, and ensure high-quality deliverables Contribute to scientific dissemination through manuscripts, abstracts, and conference presentations, supporting the generation of peer-reviewed publications Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Undergraduate degree or equivalent experience Technical Skills: Proficiency in statistical software such as SAS, R, STATA, or SQL; experience with real-world data sources like claims, EHR, and registries Research ExpertiseDemonstrated solid foundation in study design, econometric modeling, and outcomes research methodologies CommunicationDemonstrated excellent written and verbal communication skills, with experience in medical writing, including manuscripts, abstracts, and posters CollaborationDemonstrated ability to work in cross-functional teams and manage multiple projects in a client-facing environment At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyoneof every race, gender, sexuality, age, location and incomedeserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes an enterprise priority reflected in our mission. #Nic #NJP

Primary Responsibilities: Developing end-to-end pipeline for different document processing use cases Connecting with business for requirement gathering and status updates Maintaining accuracy of the work delivered Work closely with team lead throughout the solution development lifecycle, from design to implementation Work with the business teams to operationalize the ML solution for document processing solutions Engage in client communications for all important functions including requirement gatherings, strategizing solutions, delivering updates etc. Acquire understanding of US Healthcare domain Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Working understanding of deep learning especially NLP space Proficient in tools such as Python, SQL , Spark Microsoft Office Excel or PowerPoint Proficient in statistical techniques and standard Machine Learning Proficient in Generative AI and Agentic AI At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission. #NIC Apply Internal Employee Application

Responsibilities : Verification and Validation: Lead the verification and validation of analytical and microbiological methods, ensuring they meet all regulatory and internal quality requirements. Design, execute, and document method validation protocols, including accuracy, precision, specificity, and robustness studies, in compliance with FDA, TGA, ICH, and EMA guidelines. Review and approve validation protocols and reports, ensuring they are scientifically sound and fully compliant with Good Laboratory Practice (GLP) and other relevant regulatory standards. Analytical and Microbiology Methods: Provide expert review and oversight of analytical and microbiological testing protocols, data, and reports, ensuring compliance with regulatory standards and internal quality systems. Oversee the development, validation, and implementation of new analytical and microbiological methods and, including but not limited to chemical analysis, sterility testing, microbial limits testing, and endotoxin testing. Ensure that all methods are validated to provide reproducible and accurate results, adhering to FDA, TGA, ICH, and EMA requirements Data Review and Integrity: Conduct thorough reviews of raw data and final reports related to analytical and microbiology testing and method validation. Ensure that all data generated during analytical and microbiological testing is accurate, complete, and adheres to the approved protocols and SOPs. Identify and resolve any data discrepancies or deviations from established protocols. Regulatory Compliance: Ensure that all analytical and microbiological methods and validations comply with FDA, TGA, ICH, and EMA regulations. Assist in the preparation of documentation for regulatory submissions, providing quality assurance support for analytical and microbiological data and validation reports. Continuous Improvement: Contribute to the development and continuous improvement of quality systems related to analytical and microbiological methods and validation processes. Participate in root cause analysis of quality issues and support the implementation of corrective and preventive actions (CAPAs). Training and Development: Provide guidance and training to R&D staff on best practices in analytical and microbiological testing, method validation, and quality assurance. Act as a mentor and resource for junior staff in the areas of analytical development, microbiology and quality assurance What youd gain: Invaluable hands-on experience working alongside seasoned developers. Opportunity to learn and grow in a supportive environment. Gain exposure to the entire software development lifecycle. Contribute to real-world software projects and make a positive impact. Qualifications: Bachelors degree in Chemistry, Microbiology, Biology, Pharmaceutical Sciences, or a related scientific discipline is required. Advanced degree (Masters or Ph.D.) in a related field is preferred. Minimum of 5-7 years of experience in quality assurance with a focus on analytical, microbiology, method verification, and validation within the pharmaceutical, biotech, or life sciences industries. Extensive experience with analytical and microbiological testing methods, including method verification, validation, sterility, microbial limits, and endotoxin testing. Strong expertise in analytical and microbiological methods and their application in product development. Excellent attention to detail and analytical skills with a focus on data integrity and accuracy. Strong written and verbal communication skills, with the ability to document and present complex technical information clearly. Ability to work effectively in a team-oriented environment and collaborate across multiple departments. Proficiency with quality management systems and software tools. This position is remote and may require occasional travel to other sites or meetings. The role may involve working in a laboratory environment with exposure to chemicals and biohazardous materials.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Gurugram, Haryana, India Minimum qualifications: Bachelor's degree or equivalent practical experience, 11 years of experience in management consulting, product management and strategy, or analytics in a technology company, Experience working with and analyzing data, and managing multiple cross-functional programs or projects, Preferred qualifications: Advanced degree or equivalent practical experience, Experience with R, SQL, spreadsheets, or similar analytics tools, and experience working with product and engineering teams, Expertise in data analytics and visualization including experience with SQL or other business intelligence and reporting query systems, Experience in strategy or product functions of Smartphone OEMs, Excellent communication, negotiation, and collaboration skills, with the ability to build relationships and influence stakeholders at all levels, and comfortable with data, Excellent strategic thinking, problem-solving, and teamwork skills, with ability to take initiative, About The Job Product and Business Strategy Leaders bring together teams across Googles functions to help products execute optimally Our team pushes Google to scale at key points that refine our products and infrastructure by executing efficiently, bringing solid business sense and sound judgment, and working effectively across organizational lines, Our roles often include components of strategy ( e-g analyzing and understanding new trends in the industry, building business plans), operations ( e-g running the cadence of organizations, connecting the operating lines between our functions), and communications Our team partners with senior leadership to run important functions that cross-cut our existing organizations and deliver high impact projects We help Engineers, PMs, UX, and all of our other functions to build amazing products that delight our users, and then get those products into their hands, Android is Googles open-source mobile operating system powering more than 3 billion devices worldwide Android is about bringing computing to everyone in the world We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more We think everyone in the world should have access to the best computing has to offer We provide the platform for original equipment manufacturers (OEMs) and developers to build compelling computing devices (smartphones, tablets, TVs, wearables, etc) that run the best apps/services for everyone in the world, Responsibilities Lead projects to gather, analyze, and understand research about Android markets, users, partners, and products to develop comprehensive, data-backed assessments of our strategic hypotheses, Draw logical conclusions, organized into easy-to-understand frameworks and develop compelling presentations for leadership on business challenges and opportunities, Communicate recommendations effectively and adeptly facilitate conversations designed to help leaders make the right decisions, Collaborate with Product, cross-functionally, and team members to develop holistic strategies and enable strategy execution in the most efficient way to address our largest challenges and opportunities, Work with team members and product area leaders to identify data needs and help develop key insights around Android growth, apps and products distribution and monetization, Google is proud to be an equal opportunity workplace and is an affirmative action employer We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status We also consider qualified applicants regardless of criminal histories, consistent with legal requirements See also Google's EEO Policy and EEO is the Law If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form , Show

Minimum qualifications: Bachelor's degree or equivalent practical experience, 1 year of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data, 1 year of experience managing projects and defining project scope, goals, and deliverables, Preferred qualifications: Master's degree in a quantitative discipline, 1 year of experience with one or more of the following languages: SQL, R, Python, or C++, Experience with fraud, security, and threat analysis within Cloud service providers along with understanding of of fraud dynamics online, Experience with project management and process improvement with a data analytics component along with ability to identify workflow issues, improve processes, Ability to interact with internal and external users, along with excellent communication skills, About The Job Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads On this team, you are a team-player with a passion for doing whats right You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed with urgency And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety, You will be responsible for restricting or preventing policy violators and abusers to ensure a safe and secure Payments environment for the users You identify and solve problems and have technical skills to innovate and improve our processes and tools You are organized, responsible and are able to work in a fluid, global, cross-functional, and team-oriented environment and demonstrate technical knowledge, excellent communication to get things done You will also work with product and engineering teams to make sure that new products and features provide a good, safe experience for users at Google speed, At Google we work hard to earn our userstrust every day Trust & Safety is Googles team of abuse fighting and user trust experts working daily to make the internet a safer place We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Googles products, protecting our users, advertisers, and publishers across the globe in over 40 languages, Responsibilities Prevent fraud and abuse by identifying trends and products that are violating policies in Google Payment Perform statistical data analysis and identify patterns and trends Design and build measurement and reporting platforms, Collaborate with Engineering and Product teams to create and improve tools, develop signals, system functionality, and reporting framework, Collaborate with cross functional teams to evolve and improve enforcement strategy and enhance the experience of the users Lead projects through the full project life-cycle that require cross-functional stakeholder management, Respond to escalations from internal and external parties within designated service levels, Facilitate and manage operations programs, working with Google engineers, product managers and vendor operations to develop and track project schedules and timelines, Google is proud to be an equal opportunity workplace and is an affirmative action employer We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status We also consider qualified applicants regardless of criminal histories, consistent with legal requirements See also Google's EEO Policy and EEO is the Law If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form , Show

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Hyderabad, Telangana, India Minimum qualifications: Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience, 9 years of experience using analytics to solve product or business problems, coding ( e-g , Python, R, SQL), querying databases or statistical analysis, 3 years of experience as a people manager within a technical leadership role, Preferred qualifications: Experience in leading and evolving data science and engineering teams with technical strengths, Experience preparing and delivering presentations to executive leadership, Ability to operate in a cross-functional organization where collaboration with other teams is essential to the success of our team, Ability to adept at distilling analyses into data driven narratives, Excellent communication skills, especially in communicating technical and statistical concepts clearly and concisely among audiences at different levels, About the jobAs a Data Science Manager in the Measurement Center of Excellence, you will lead a team of technical experts, utilizing Googles Machine Learning capabilities to build data science and measurement solutions to our Large Customer Sales (LCS) clients You will closely collaborate with clients, agencies and internal teams, In this role, you will be responsible for leading a team of data scientists in applying best data science practices to solve our ads customersproblems in marketing You will be responsible for building and executing gTechs strategy and outlook to deliver applied data science to Google's largest ads customers, utilizing the best of Googles Machine Learning capabilities to build innovative solutions that address our customer's problem-space, Responsibilities Lead a team of Data Scientists responsible for delivering data science aspects of client engagements in the area of marketing effectiveness and marketing portfolio management, Develop a data science roadmap for your team that aligns with Data Science strategy and Objectives and Key Results (OKRs) Establish project goals, align individuals' expectations, coordinate resources, and provide technical leadership in-line with the long-term objectives, Provide analytical thought leadership in the areas of Data Science and Measurement through proactive and strategic contributions, Influence stakeholders through effective presentations and written communication, Collaborate with Product/Engineering teams to increase and optimize capabilities of the Applied Data Science team, employing methods which create opportunities for scale, and help to drive innovation, Google is proud to be an equal opportunity workplace and is an affirmative action employer We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status We also consider qualified applicants regardless of criminal histories, consistent with legal requirements See also Google's EEO Policy and EEO is the Law If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form , Show

Data Scientist - GTM Analytics At Thomson Reuters, we believe in the power of data to drive smarter decisionsand were looking for someone who shares that belief. As a Data Scientist Digital Insights, youll join a dynamic team thats shaping the future of go-to-market strategy through digital analytics, data science, and emerging AI technologies.This opportunity empowers you to work with the latest trends in technologyfrom web traffic intelligence and data visualization to foundational applications of large language models (LLMs). Youll play a key role in transforming digital signals into actionable insights that influence business outcomes.Were proud to be recognized by Great Place to Work India as one of the countrys top employers, celebrated for our inclusive culture, strong leadership, and commitment to employee growth. Join us and be part of a workplace where innovation and well-being go hand in hand. About the Role: In this role, you will Analyze web traffic, user behavior, and campaign performance through Google Analytics Tags to generate actionable insights. Collaborate with marketing, product, and analytics teams to define KPIs and reporting frameworks. Build dashboards and visualizations using tools like Tableau or Power BI to communicate insights effectively. Apply basic data science techniques to uncover trends, segment audiences, and support predictive modeling. Stay current with developments in LLMs and generative AI and explore their application in digital analytics. Present findings to stakeholders using storytelling techniques and data-driven narratives. About You: 13 years of experience in digital analytics, data science, or a related field. Proficient in Google Analytics, and web tracking methodologies. Strong SQL and Python skills; experience with data wrangling and exploratory analysis. Familiarity with data visualization tools such as Tableau or Power BI. Exposure to machine learning concepts and basic model building. Understanding of LLMs (e.g., GPT, OpenAI) and prompt engineering is a plus. Experience working with marketing or Go to Market teams is highly desirable. Excellent communication and presentation skills with the ability to simplify complex data. Required Education & Skills: Bachelors or masters degree in computer science, Data Science, Marketing Analytics, or a related quantitative field. Strong organizational and problem-solving skills. Adaptable, collaborative, and eager to learn in a fast-paced environment. Shift Timing - 12:00 PM - 9:00 PMHybrid Work ModelWork from Office Twice a week #LI-SS3 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

As a Senior Model Steward , you will collaborate with the Data and Model Governance team, inside Data and Analytics, to champion Governance and Ethics with model developers and owners.You will play a key role in shaping and translating our Model Governance and Ethics framework into effective controls and scalable implementation practices for the portfolio of AI/ML models you are assigned to . About the Role: Your responsibilities will include: Model Lifecycle Management Oversee and document the end-to-end lifecycle of models, from development to deployment and decommission, ensuring compliance with external expectations and internal policies and standards. You will track compliance progress for your portfolio and report it to the Data and Model Governance team. Collaboration Work closely with cross-functional teams, including data scientists, engineers, and business stakeholders, to integrate model governance controls into the model development and deployment processes. Risk Assessment Evaluate risks associated with AI use cases, considering factors such as reliability, use of third-party models, performance degradation, bias, fairness, and interpretability. Develop and implement strategies to mitigate identified risks. Documentation and Registration Create and maintain comprehensive documentation for AI use cases, including preprocessing steps, training techniques and model architecture. Promote transparency in model development and decision-making processes, ensuring high data quality of all governance-related artifacts. Monitoring and Performance Evaluation Establish monitoring protocols to track the performance of deployed models in real-world scenarios. Configure (semi-)automated systems to detect drifts, and other performance issues. Education and Training Prepare trainings and upskilling opportunities on best practices for model governance. Stay current on industry trends and advancements in model governance and ethics, and share knowledge within the organization via the Data and Model Stewardship Network. About You: Youre a fit for the role of Senior Model Steward if you meet all or most of these criteria: EducationBSc/ MSc or equivalent experience in a relevant technical field (e.g., Data Science, Statistics, Computer Science, etc.). Strong programming skills (Python, R, etc.), experience with data science libraries (TensorFlow, PyTorch, scikit-learn) and cloud technologies (AWS, Azure, GCP). Excellent communication and stakeholder management skills. 6+yrs Experience and proven track-record applying collaborative problem-solving, negotiation, and change management skills. Proven experience in model governance, risk management with expertise in one of the following specializations:- Research SpecialistProven experience in researching and implementing model governance strategies, especially for Large Language Models (LLMs).- EngineerBackground in DevOps engineering, with a focus on AI model deployment.- Analyst / Data EngineerExpertise in data engineering, analytics, and data processing, with a focus on ensuring high-quality input data for models. #LI-KP2 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

We are seeking a Senior Customer Data Analyst to join our Customer Data Audience Operations Team within the Marketing & Data organization at Thomson Reuters. Based in Hyderabad, India, this role will support our Customer Data Platform (CDP) operations, helping marketers leverage customer data effectively through audience segmentation and activation. About the Role In this role as a Senior Customer Data Analyst, you will Develop a comprehensive understanding of the CDP data structure, data models, tables, and available data types. Process and fulfill audience segmentation requests from marketing teams through our Workfront ticketing system. Create audience segments in Treasure Data CDP and push them to appropriate activation channels. Collaborate with marketing teams to understand their segmentation needs and provide data-driven solutions. Maintain documentation of segment creation processes and audience definitions. Monitor segment performance and provide recommendations for optimization. Stay current with AI capabilities within Treasure Data's AI Foundry to enhance segmentation strategies. Assist in troubleshooting data issues and ensuring data quality within segments. About You Youre a fit for the role of Senior Customer Data Analyst, if your background includes Bachelor's degree in Computer Science, Information Technology, Engineering, Statistics, Mathematics, or related field. 6-8 years of experience in data analysis, data management, or related roles. Proficiency in SQL query writing and data manipulation. Basic understanding of marketing technology platforms (CDP, CRM, Marketing Automation). Ability to translate business requirements into technical specifications. Strong attention to detail and problem-solving skills. Excellent communication skills in English, both written and verbal. Experience with Treasure Data/Snowflake/Eloqua/Salesforce. Knowledge of AI/ML concepts and applications in marketing. Understanding of data privacy regulations and compliance requirements. Experience with data visualization tools. Basic programming skills (Python, R, etc.) Data analysis and interpretation. Familiarity with cloud-based data platforms. Understanding of relational databases. Microsoft Office Suite (especially Excel). Curiosity and eagerness to learn, Detail-oriented approach, Ability to work in a fast-paced environment, Team collaboration, Time management and prioritization abilities. Shift Timings2 PM to 11 PM (IST). Work from office for 2 days in a week (Mandatory) #LI-GS2 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

Commercial Management : Roles & Responsibilities Improve WIN probability Deal shaping from commercial perspective Help arrive at Right Price to Win Internal Benchmarking Alternate pricing and commercial structures Client Business case Identify margin / price improvement levers Develop appropriate commercial solutions Review cost modeling Review Rfx documents to highlight risks Review compliance with internal guidelines Review pricing sheet responses Draft end to end Responses Commercial responses including contract markup, assumptions and T&Cs Establish MOUs/ agreements with Internal BUs Comprehensive contract documents with client and sub-contractors Commercial negotiation Commercial handover from pre-sale to post-sale teams Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Skills (competencies) Verbal Communication

Your role The Packaging Engineer will be responsible for supporting designing, developing, and implementing packaging and labeling materials for US/OUS medical devices. The individual should have good understanding of Packaging standards and Compliance requirements (ASTM, ISTA, ISO 11607 and EU-MDR). Within this context the activity will focus on: The job requires a self-motivated individual with collaborative skills on project, process with limited supervision. The individual should be a team player who is willing to collaborate. Fully participates in and successfully contributes to project teams typically including the following activitiesPackaging/product design and development, test of materials, preparation of specifications, process capability studies, report preparation, and process/test documentation. Generate, evaluate and coordinate packaging related documentation including specifications, test plans/reports, and other BSC Product Development Process documents. Strong knowledge of statistical methodology. Evaluate, create and document package/product test methods for new product development and existing design improvements. Understanding of documentation management systems and good manufacturing practices (GMPs) is required. Work closely with other members of the Packaging Engineering department and interact with personnel from a variety of areas within BSC. Develop strong team skills, including communication, teamwork, initiative and managed execution of all project deliverables. Work with suppliers and OEM contacts to establish partnerships to maximize quality, delivery, and lead times, and to incorporate their abilities, ideas, and material/product knowledge into new development. Keep abreast of new technologies, test methods and advances in the medical device packaging industry Your profile Bachelors Degree in Packaging Engineering or Equivalent Engineering Degree Minimum 2-6 years work experience Experience with MS tools (Excel, Word, PowerPoint, etc.) Experience with Statistical Software and its use for Engineering Applications Knowledge of Supply Chain / Product Distribution practices What You"ll Love About Working Here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as AWS and Microsoft Azure.

Qualifications Bachelor's degree in BE/B. Tech /MCA Experience: 6+ years of experience Position: Senior Data Scientist Location: Hyderabad, India/Remote Key Responsibilities: Partner with business stakeholders to understand objectives and translate them into analytical frameworks Design and execute analyses that directly address business challenges using SQL, Python, and other analytical tools Develop data-driven recommendations that align with organizational goals and strategies Communicate complex findings in business terms that resonate with executives and decision-makers Identify business opportunities through proactive data exploration and analysis Build and validate statistical models that solve real business problems Influence product and business strategies through data-backed insights Serve as a bridge between technical and business teams, effectively translating between domains Technical Skills Advanced SQL proficiency for complex data querying and manipulation Strong Python programming skills with focus on data analysis libraries Experience building and deploying statistical and machine learning models Data visualization and dashboard creation for business audiences Data cleaning, transformation, and feature engineering expertise Business Skills Demonstrated ability to understand business objectives and translate them into analytical questions Experience working directly with business stakeholders to define key metrics and success criteria Skill in presenting technical findings in business terms and recommending actionable strategies Understanding of business operations, market dynamics, and competitive landscapes Ability to prioritize analytical work based on business impact Qualifications 6+ years of experience in data science with demonstrated impact on business outcomes Bachelor's degree required, advanced degree in quantitative field preferred Track record of successful projects that combine technical excellence with business value Experience in collaborative environments working across business and technical teams Personal Attributes Curious mindset that questions assumptions and explores beyond the obvious Strong communicator who can adapt message to different audiences Strategic thinker who connects data insights to broader business context Self-directed learner who stays current in both technical and business domains Comfortable navigating ambiguity and driving clarity through data

What Youll Do Develop advanced and efficient statistically effective algorithms that solve problems of highdimensionality. Utilizetechnical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques toidentify trends, createfigures, and analyze other relevantinformation. Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate analysis findings. Contribute to the assessment of emerging datasets and technologies thatimpact our analytical platform. What Youll Bring Amasters degree in computer science, Statistics, or a relevant field; A robust academic performance history with coursework emphasizing analysis and quantitative skills. A knowledge of big data, advanced analytical concepts, and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling, etc A proficiency in at least one programming language (e.g., Java/Python/R). Experience with tools/platforms such as the Hadoop eco system, Amazon Web Services or database systems. Fluency in English.

Data Science Consultants design, develop and execute high-impact analytics solutions for large, complex, structured, and unstructured data sets (including big data) to help clients make better fact-based decisions. What Youll Do Execute and lead application of numerical optimization techniques on large, unstructured data sets to solve problems Collaborate with engineering teams to deploy optimization based solutions on datasets of large dimensionality to create practical solutions that achieve desired results in a computationally efficient and statistically effective manner; Play a key role in development of data science capabilities for solving problems and offerings that create scale and advance our analytic capabilities Lead conversations with clients and other ZS stakeholders to effectively integrate and communicate analysis findings; Evaluate emerging datasets and technologies and help define our analytic platform; Own development of select assets/accelerators that create scale; Contribute to thought leadership through research and publications; Guide and manage project teams of Associates/Associate Consultants. What Youll Bring Bachelors degree in computer science, Information Technology, or a related field (or equivalent work experience). 6-9 years of relevant experience Strong theoretical and applied understanding of linear programming, convex optimization, non- linear programming, and other optimization topics Experience with other data science concepts and algorithms (e.g. supervised / unsupervised learning, reinforcement learning, simulation modeling, recommender systems, etc.); Relevant programming background (e.g. Python/ R); Understanding of relevant tools/platforms (e.g. ML / data engineering tools and platforms); Team management and skill development experience; Agile project planning and project management experience preferred; Excellent oral and written communication skills; Strong attention to detail, with a research-focused mindset; Excellent critical thinking and problem-solving skills; High motivation, good work ethic and maturity. Location - Bengaluru,Gurugram,Noida,Pune.

Advanced Data Science Consultant - (Optimization / Supply Chain and Manufacturing) Data Science Consultants design, develop and execute high-impact analytics solutions for large, complex, structured, and unstructured data sets (including big data) to help clients make better fact-based decisions. What You'll Do: Execute and lead application of numerical optimization techniques on large, unstructured data sets to solve problems in the area of Supply Chain and Manufacturing. Collaborate with engineering teams to deploy optimization based solutions on datasets of large dimensionality to create practical solutions that achieve desired results in a computationally efficient and statistically effective manner; Play a key role in development of data science capabilities for solving problems in the pharmaceutical manufacturing, supply chain and operations management space and offerings that create scale and advance our analytic capabilities Lead conversations with clients and other ZS stakeholders to effectively integrate and communicate analysis findings; Evaluate emerging datasets and technologies and help define our analytic platform; Own development of select assets/accelerators that create scale; Contribute to thought leadership through research and publications; Guide and manage project teams of Associates/Associate Consultants. What You'll Bring: MS/PhD degree in Computer Science, Statistics, Operations Research, or related fields, with a focus on Optimization, plus 2-4 years of relevant post-PhD work experience in implementing solutions in Manufacturing, Supply Chain, Operations Management areas 6 - 9 years of relevant experience Strong theoretical and applied understanding of linear programming, convex optimization, nonlinear programming, and other optimization topics Experience with commercial solvers such as CPLEX, Gurobi, etc. preferred Experience with other data science concepts and algorithms (e.g. supervised / unsupervised learning, reinforcement learning, simulation modeling, recommender systems, etc.); Relevant programming background (e.g. Python/ R); Understanding of relevant tools/platforms (e.g. ML / data engineering tools and platforms); Team management and skill development experience; Relevant domain knowledge preferred; (healthcare life sciences / transportation/ hi-tech / insurance / retail); Agile project planning and project management experience preferred; Excellent oral and written communication skills; Strong attention to detail, with a research-focused mindset; Excellent critical thinking and problem-solving skills; High motivation, good work ethic and maturity.

Data Science Associate Consultant (DSA) design, develop and execute high-impact analytics solutions for large, complex, structured and unstructured data sets (including big data) to help clients make better fact-based decisions. What Youll D o : Stay updated with the latest developments in Deep Learning and AI research. Implement and fine-tune advanced models in deep learning, with a focus on Transformers for sequential data (e.g., time series, text, and vision). Apply knowledge of large language model (LLM) fine-tuning and alignment approaches to improve model performance. Utilize active learning techniques to train models more efficiently and effectively. Collaborate with cross-functional teams to develop and deploy machine learning models in production. Contribute to research projects aimed at advancing the field of AI and machine learning. Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner Collaborate with clients and other ZS stakeholders to effectively integrate and communicate analysis findings Contribute to the evaluation of emerging datasets and technologies that may contribute to our analytical platform Owning the development of select assets/accelerators for efficient scaling of capability, with a focus on leveraging generative AI and deep learning methodologies. Integrate engineering principles into data science workflows, optimizing algorithms for performance, scalability, and maintainability. Collaborate with the engineering team to implement and deploy data science solutions into production, ensuring seamless integration with existing systems. Utilize software engineering best practices for version control, code review, testing, and documentation to maintain high-quality, reliable, and reproducible data science workflows. What Youll Bring : Bachelor's or master's degree or PhD in Computer Science (or Statistics) from a premier institute, and strong academic performance with analytic and quantitative coursework is required 4-7 years of Data Science experience, including proficiency in generative AI, deep learning, statistical techniques, and engineering integration for scalable solutions Knowledge of programming (e.g. Java/Python/R); Knowledge of big data/advanced analytics concepts and algorithms (e.g. text mining, social listening, recommender systems, predictive modeling, etc.) Excellent oral and written communication skills. Strong attention to detail, with a research-focused mindset; Excellent critical thinking and problem-solving skills; High motivation, good work ethic and maturity. Exposure to Generative AI and its usage to solve problems is a plus. Location - Bengaluru,Gurugram,Noida,Pune

What Youll Do Develop and apply advanced statistical models that help clients understand dynamic business issues. Leverage analytic techniques to use data to guide client and ZS team decision-making. Design custom analyses in R, Tableau, SAS, Visual Basic and Excel to investigate and inform client needs. Synthesize and communicate results to clients and ZS teams through oral and written presentations. Develop client relationships and serve as key point of contact on aspects of projects. Provide client and ZS teams project status updates. Create project deliverables and implement solutions. Advance problem-solving skills and improve ZSs capabilities. Guide and mentor Associates on teams. What Youll Bring Bachelor's or master's degree required in any discipline with strong record of academic success in quantitative and analytic coursework such as operations research, applied mathematics, management science, data science, statistics, econometrics or engineering. Up to 3 years of relevant post-collegiate job experience. Fluency in English. Knowledge of programming (e.g., Java/Python/R). Exposure to tools/platforms (e.g., Hadoop eco system and database systems). Demonstrated proficiency in a programming language or analytic tool such as R, SAS, Tableau, or VBA. High motivation, good work ethic, maturity, and personal initiative. Effective oral and written communication skills.

ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership. What Youll Do Develop and apply advanced statistical models that help clients understand dynamic business issues. Leverage analytic techniques to use data to guide client and ZS team decision-making. Design custom analyses in R, Tableau, SAS, Visual Basic and Excel to investigate and inform client needs. Synthesize and communicate results to clients and ZS teams through oral and written presentations. Develop client relationships and serve as key point of contact on aspects of projects. Provide client and ZS teams project status updates. Create project deliverables and implement solutions. Advance problem-solving skills and improve ZSs capabilities; Guide and mentor Associates on teams. What Youll Bring Experience in working with the Pharma Industry. Experience in working with real world data sources such as patient claims data, EMR, consumer data etc Experience in analysis of large data sets; SQL-R, programming skills Experience in the statistical design and analysis of prospective or retrospective observational studies and familiar with working with large epidemiological datasets focusing on anonymized data 3 - 6 years work experience with domain knowledge/expertise in Healthcare/Life Sciences/Med Tech is preferred MBA with bachelor's (and often graduate) degrees in engineering, business, psychology or physical/life sciences with a strong academic record of analytic and quantitative work Agile project planning and project management skills Excellent communication skills Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.

What Youll Do Leverage quantitative skills to derive answers to clients' ongoing business analytics and reporting questions. Work collaboratively with clients to ascertain the clients specific business information needs. Execute a specific plan for analyzing the data necessary to secure solutions to clients particular business information need(s ). Discuss and determine with clients which specific data may be best utilized in order to perform the necessary analysis. Evaluate, assess and analyze the data necessary to provide solutions to the clients particular business information needs. Communicate the data results to the client, with an emphasis on answering the business question as opposed to the analytical and reporting processes used. Gain immediate familiarity with clients internal processes. Develop expertise within a client analytics area. Be available for clients during regular working hours. What Youll Bring MBA with a bachelor's (and often graduate) degree in a quantitative, analytical discipline, such as Operations Research, Applied Mathematics, Management Science, Data Science, Statistics, Econometrics, or Engineering. Alternately, candidates may possess a PhD in marketing, economics, decision sciences or related field with a business application. In lieu of an MBA or PhD, 5-8 years of relevant work experience may substitute.? Up to 3 years of post-MBA relevant work experience, and 3-5 years of pre-MBA relevant work experience, with evidence of strong analytic work (including use of advanced modeling techniques and tools such as R, SAS, Tableau, or VBA High motivation, good work ethic, maturity and personal initiative?

What Youll Do Develop and apply advanced statistical models that help clients understand dynamic business issues. Leverage analytic techniques to use data to guide client and ZS team decision-making. Design custom analyses in R, Tableau, SAS, Visual Basic and Excel to investigate and inform client needs. Synthesize and communicate results to clients and ZS teams through oral and written presentations. Develop client relationships and serve as key point of contact on aspects of projects. Provide client and ZS teams project status updates. Create project deliverables and implement solutions. Advance problem-solving skills and improve ZSs capabilities. Guide and mentor Associates on teams. What Youll Bring Bachelor's or master's degree required in any discipline with strong record of academic success in quantitative and analytic coursework such as operations research, applied mathematics, management science, data science, statistics, econometrics or engineering. Up to 3 years of relevant post-collegiate job experience. Fluency in English. Knowledge of programming (e.g., Java/Python/R).

Our Clinical/Drug Development division displays a substantial history of contributing to numerous client projects with significant results in drug development. The Drug Development RD Technologists possess a deep understanding of technological solutions for clinical development processes including clinical study design, data management, analytics, and quality risk management platforms and products. They are well-versed in software related to clinical trial protocol design, electronic data capture (EDC), external data capture, data conformance, transformation, analysis, and reporting. Our team is well versed about industry standards such as CDISC, FHIR, OMOP, and their respective usage. Our team specializes in designing bespoke solutions or products implementation for clinical design, Clinical data management, and analytics systems. Our team has deep understanding of EDC tools like Rave, Veeva, InForm, openClinica, clinical data repositories like SAS LSAF, Oracle LSH, eCS elluminate, Metadata Repositories like Nurocor, Sycamore, Formedix, statistical computing environments like Sycamore, Domino, Sas Viya systems, Clinical data review systems, RBQM systems, and more. With experience as solution architects, business analysts, or techno-functional SMEs in GXP compliant validated environments, they guide the creation of solution, data flows and strategies for building clinical development and data management systems. Their offerings encompass technical advisory, consultancy, developing of clinical data platforms and products, system integration, and intelligent automation. Additionally, the team has created innovative tools through advanced technology and data science, aiding numerous clients in expediting the drug development process. What Youll Do: You will design implement various innovative solutions in the realms of Clinical data management, analytics Work in clinical data management and analytics area as part of strategy building, assessment and technology implementation project as business and data analyst Lead and participate in clinical business process discussions with clients, identify requirements and user stories Conduct online interviews and workshops to gather requirements to support the business needs of users Author high-level user stories and develop related tasks, acceptance criteria and review test cases Participate in clinical business process discussions with clients, identify requirements and user stories Work closely with project teams in creating Requirement Specifications, RTM and other project documents Plan and facilitate various Agile meetings and artefacts, including sprint planning, review retrospectives, daily stand-ups Perform business process modelling, data flow, user experience modeling, and basic solution architecture diagramming Act as techno-functional Liaison between client business user and project engineering team to provide correct business context, business rules The ideal candidate will have a strong background in the project lifecycle, with experience in large and complex programs. They will have a track record of successfully managing people, and be able to provide support and escalation routes for queries, define and plan analysis deliverables, and agree on analysis approaches. Experience in building a Business Analysis capability, mentoring and upscaling more junior colleagues, and contributing to the growth of a BA community is also essential. What Youll Bring Bachelors degree Pharma/ Bioinformatics / Medicine or related disciplines Master's degree in Business Analyst, Engineering or Science preferred. 5-10 years of experience working within Life Science Domain as solution architect / business analyst / data analys t is required. Experience of working in building solution around drug development - clinical data management areas like discrepancy management, clinical data repositories, clinical issue management, Operational data repositories, operational reports Experience working in end-to-end Clinical Data Repository implementation with Biometrics space will be preferred. Experience working in Clinical data management area as BA or Subject matter expert Understand the end to end process for clinical data management and Analysis Exposure to clinical data coordination and clinical data management area. Experience in building and delivering GxP compliant solutions for large enterprise program is required. Exposure to programming language like R, Python and SAS is preferred.

Job Description: Vontiers Data & Analytics Hub is seeking an experienced Snowflake Data Engineer to join our team The Data Engineer will have a key role in designing, developing, and maintaining data pipelines and data models using Snowflake cloud data platform, The ideal candidate will have considerable experience in hands-on experience with Snowflake data warehouse, including data ingestion, transformation, and optimization, Responsibilities: Design, develop, and maintain data pipelines and data models using Snowflake cloud data platform, Implement best practices for data quality, security, and performance, Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver solutions, Provide technical guidance and mentorship to junior data engineers, Stay updated with the latest trends and technologies in the data engineering domain, Requirements: Bachelor's degree in computer science, Engineering, or related field, At least 5 years of experience in data engineering, preferably in a cloud environment, Cloud Platforms: Familiarity with any cloud environmentsAWS or Azure, Proficient in SQL and Python, and familiar with other programming languages such as Java, Scala, or R, Hands-on experience with Snowflake data warehouse, including data ingestion, transformation, and optimization, ETL/ ELT process & methodologies for data integration Collaborate with data engineers and developers to seamlessly integrate diverse data sources into the Snowflake data platform This task requires proficiency in ETL/ELT processes, ensuring data is accurately and efficiently ingested, transformed, and stored, Successful application of native Snowflake ingestion components such as snowpipes, streams use of external tables and incremental processing, Successful application of orchestration and materialization techniques native to snowflake such as dynamic tables and complex DAGs, Experience with Kafka streaming pipes and Kafka forwarders, Experience with data integration tools such as Matillion, Data modelling to design and implement data models and schemas, Data Warehousing Concepts: Understanding of data warehousing concepts and practices, including data normalization, denormalization, and partitioning Implement best practices for data quality, security, and performance, Performance Tuning: Skills in optimizing Snowflake performance, including query optimization and resource management, Strong analytical and problem-solving skills, and attention to detail, Excellent communication and collaboration skills, and ability to work in a fast-paced environment, Good to have: Preferred if candidate comes with certifications in Snowflake, Experience with data visualization tools such as Power BI, Familiarity with finance, procurement, and manufacturing processes, including budgeting, cost management, and supply chain optimization, to support business efficiency and strategic decision-making is a plus, MLOps: Demonstrated familiarity with decision sciences applications and approaches utilizing Snowpark compute, Snowflake Model registries, Snowflake Feature registries and the ongoing supporting to MLOps role of snowflake ML workflows practices, Who Is Vontier Vontier (NYSE: VNT) is a global industrial technology company uniting productivity, automation and multi-energy technologies to meet the needs of a rapidly evolving, more connected mobility ecosystem Leveraging leading market positions, decades of domain expertise and unparalleled portfolio breadth, Vontier enables the way the world moves delivering smart, safe and sustainable solutions to our customers and the planet Vontier has a culture of continuous improvement and innovation built upon the foundation of the Vontier Business System and embraced by colleagues worldwide Additional information about Vontier is available on the Companys website at vontier , At Vontier, we empower you to steer your career in the direction of success with a dynamic, innovative, and inclusive environment, Our commitment to personal growth, work-life balance, and collaboration fuels a culture where your contributions drive meaningful change We provide the roadmap for continuous learning, allowing creativity to flourish and ideas to accelerate into impactful solutions that contribute to a sustainable future, Join our community of passionate people who work together to navigate challenges and seize opportunities At Vontier, you are not on this journey alone-we are dedicated to equipping you with the tools and support needed to fuel your innovation, lead with impact, and thrive both personally and professionally, Together, lets enable the way the world moves! Show

What The Candidate Will Need / Bonus Points ---What the Candidate Will Do ---- Scope & Impact: You will have the opportunity to collaborate with multiple cross-functional global teams to deliver scalable data solutions wherein the expectation is to -> Build scalable analytical frameworks to support product analytics for Uber's Customer Obsession Platform Be an invaluable partner to product managers, engineers, operations, & various data teams to help create and execute the direction of the product roadmap which includes scoping the business problem, providing a data lens to product design, owning the experimentation cycle to full global rollouts and eventually impact estimation & long term monitoring, Proactively communicate insights and drive projects to drive towards team goals Ensure data quality across critical pipelines and to set up processes to triage data issues Build & maintain critical data pipelines, insight boards & monitoring tools that help track metrics to measure and monitor platform health Seek out opportunities to build new solutions to tackle Customer & Business pain points Basic Qualifications 2+ years of work experience with a Bachelor's Degree OR 1+ years of work experience with a Master's Degree Work experience should be in a data-focused role such as product analytics, risk analytics, business analytics, business operations, or data science Education in Engineering, Computer Science, Math, Economics, Statistics or equivalent experience Proven competency in statistical languages like SQL, SAS, R and/or in modern programming languages like Python Past experience with a Product / Tech / Analytics Services company serving businesses with millions of customers on multiple platforms and countries Preferred Qualifications SQL mastery Write efficient and complex code in SQL Experience in Python/R, Experimentation methods like A/B testing, and Statistical modelling is preferred Experience in Customer Service related domains with a Product / Technology / Analytics Services company is a plus Proven ability to handle and visualise large datasets, explore and utilise raw data feeds Love of data One should have the zeal to just go get the required data and turn it into an insightful story Ability to build a structured approach to problem-solving that leads to high quality hypotheses Strong sense of ownership, accountability, and entrepreneurial spirit Effective communicator & proactive collaborator Independent & autonomous, while still a strong team player Enthusiastic, self-starting and thrives in changing, agile environments Show