381 Dataiku Jobs - Page 2

What You'll Do This position will be based in Sales and Marketing center in Pune. The position will be individual contributor & part of analytics team in Pune, India. The position will require working in a cross functional team to define and manage data in a sustainable way. The incumbent will be responsible for supporting Electrical America's strategy in developing and executing a unified collection of tools, dashboards, and analytics to deliver better data-driven insights into business operations. Key objective to be met by the execution of this strategy is to have a single source for truth for data enabling faster, accurate decision-making, reporting of key metrices and deploying advance analytics methods and techniques to provide insights and recommendation for actions. Discover the information hidden in vast amounts of data. Help to make smarter decisions to business by delivering a single source for truth for data. Primary focus would be in applying advance analytics methods and techniques to provide insights and actionable recommendations. Support Analytical projects from conceptualization to execution and partner with the business in the implementation of the analysis for driving incremental sales and profits. Design & build platforms and programs to collect, store, analyze and visualize data from various sources for specific projects. Responsible for finding trends in data sets and developing algorithms to help make raw data more insightful to the users. Ability to understand business processes & user requirements to plan where data fits into the business model to build a data ecosystem to serve the business needs. Provide ongoing analytical support to various functions with the systematic use of both historical and predictive data to make informed decisions. Identify and discover opportunities for utilizing advanced analytics methods and support in developing the competencies in the analytical team problem identification and problem-solving using advanced analytics/ statistics. Support in data exploration, designing data models to improve processes, reduce risk and add strategic value to the business. Qualifications Minimum Graduate in Mathematics, Business, Economics. 3-5 years of experience manufacturing industry exposure preferred. Skills Microsoft Power BI, Knime, Dataiku or Alteryx experience mandatory SQL query language mandatory Data Engineering - (Extracting (relevant data), transforming (cleaning data), and loading (calculating & integrating) data from multiple sources to a single repository.) Mandatory Analytical modeling experience mandatory Strong analytical skills- prior experience of working on big data analytics projects - Preferred. Strong business acumen (of whichever industry the candidate belongs) Ability to multi-task and be proactive & independent in a dynamic environment. Highly motivated individual with excellent oral and written communication skills. Strategic and Critical approach towards solving problems and decision making Results-oriented; proven ability to prioritize, drive and achieve results Excellent communication skills - storytelling, concept pitching.

We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations to be future-ready. We offer accelerated, global growth opportunities for talent that is bold, industrious and nimble. With Indegene, you gain a unique career experience that celebrates entrepreneurship and is guided by passion, innovation, collaboration and empathy. To explore exciting opportunities at the convergence of healthcare and technology, check out www.careers.indegene.com. What if we told you that you can move to an exciting role in an entrepreneurial organization without the usual risks associated with it? We understand that you are looking for growth and variety in your career at this point and we would love for you to join us in our journey and grow with us. At Indegene, our roles come with the excitement you require at this stage of your career with the reliability you seek. We hire the best and trust them from day 1 to deliver global impact, handle teams and be responsible for the outcomes while our leaders support and mentor you. We are a profitable rapidly growing global organization and are scouting for the best talent for this phase of growth. With us, you are at the intersection of two of the most exciting industries of healthcare and technology. We offer global opportunities with fast-track careers while you work with a team that is fueled by purpose. The combination of these will lead to a truly differentiated experience for you. If this excites you, then apply below. Role: Senior Analyst - Data Science Descriptions: We are looking for a results-driven and hands-on Lead Data Scientist / Analyst with 56 years of experience to lead analytical solutioning and model development in the pharmaceutical commercial analytics domain. The ideal candidate will play a central role in designing and deploying Decision Engine frameworks, implementing advanced analytics solutions, and mentoring junior team members. Key Responsibilities Partner with cross-functional teams and client stakeholders to gather business requirements and translate them into robust ML/analytical solutions. Design and implement Decision Engine workflows to support Next Best Action (NBA) recommendations in omnichannel engagement strategies. Analyze large and complex datasets across sources like APLD, sales, CRM, call plans, market share, patient claims, and segmentation data. Perform ad hoc and deep-dive analyses to address critical business questions across commercial and medical teams. Develop, validate, and maintain predictive models for use cases such as patient journey analytics, HCP targeting, sales forecasting, risk scoring, and marketing mix modeling. Implement MLOps pipelines using Dataiku, Git, and AWS services to support scalable and repeatable deployment of analytics models. Ensure data quality through systematic QC checks, test case creation, and validation frameworks. Lead and mentor junior analysts and data scientists in coding best practices, feature engineering, model interpretability, and cloud-based workflows. Stay up to date with industry trends, regulatory compliance, and emerging data science techniques relevant to life sciences analytics. Must Have 5 years of hands-on experience in pharmaceutical commercial analytics, with exposure to cross-functional brand analytics, omnichannel measurement, and ML modeling. At least 3 years of experience developing and deploying predictive models and ML pipelines in real-world settings. Proven experience with data platforms such as Snowflake, Dataiku, AWS, and proficiency in PySpark, Python, and SQL. Experience with MLOps practices, including version control, model monitoring, and automation. Strong understanding of pharmaceutical data assets (e.g., APLD, DDD, NBRx, TRx, specialty pharmacy, CRM, digital engagement). Proficiency in ML algorithms (e.g., XGBoost, Random Forest, SVM, Logistic Regression, Neural Networks, NLP). Experience in key use cases: Next Best Action, Recommendation Engines, Attribution Models, Segmentation, Marketing ROI, Collaborative Filtering. Hands-on expertise in building explainable ML models and using tools for model monitoring and retraining. Familiarity with dashboarding tools like Tableau or PowerBI is a plus. Strong communication and documentation skills to effectively convey findings to both technical and non-technical audiences. Ability to work in a dynamic, fast-paced environment and deliver results under tight timelines. EQUAL OPPORTUNITY Indegene is proud to be an Equal Employment Employer and is committed to the culture of Inclusion and Diversity. We do not discriminate on the basis of race, religion, sex, colour, age, national origin, pregnancy, sexual orientation, physical ability, or any other characteristics. All employment decisions, from hiring to separation, will be based on business requirements, the candidates merit and qualification. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristics. Locations - Bangalore, KA, IN

About us At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for. The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs. Learn more about our What and our Why and how we can work together . ExxonMobil’s affiliates in India ExxonMobil’s affiliates have offices in India in Bengaluru, Mumbai and the National Capital Region. ExxonMobil’s affiliates in India supporting the Product Solutions business engage in the marketing, sales and distribution of performance as well as specialty products across chemicals and lubricants businesses. The India planning teams are also embedded with global business units for business planning and analytics. ExxonMobil’s LNG affiliate in India supporting the upstream business provides consultant services for other ExxonMobil upstream affiliates and conducts LNG market-development activities. The Global Business Center - Technology Center provides a range of technical and business support services for ExxonMobil’s operations around the globe. ExxonMobil strives to make a positive contribution to the communities where we operate and its affiliates support a range of education, health and community-building programs in India. Read more about our Corporate Responsibility Framework. To know more about ExxonMobil in India, visit ExxonMobil India and the Energy Factor India. What role you will play in our team We are seeking candidates to tackle challenging problems across ExxonMobil’s global supply chain operations including sales and operations planning (S&OP), logistics and Materials management. The ideal candidate will understand both the commercial and technical aspects of supply chain challenges in the Oil & Gas or Energy products (including Chemicals, Fuels) industry, advancing the development of solutions leveraging advanced modeling, ML or AI. Job location is based out of Bangalore, Karnataka What you will do Support all stages of development for advanced analytics (AI, ML based decision support) solutions including Exploratory data analysis Develop optimized queries using SQL,Alteryx, python to pull large complex datasets from ERP (e.g., SAP, ORACLE) or other SC business applications (Kinaxis, Blue Yonder) for analysis Leverage analytical tools (PowerBI, Tableau, R, python or Dataiku) to identify patterns and generate data driven insights or product ideas that can lead to accelerated business decisions supporting global Supply chain capability team Development and deployment Collaborate with Digital Product Managers and technology development teams (including data engineers, data scientists) to develop, test and build scalable products leveraging AI and advanced analytical models. Work closely with business users (e.g. demand planners, material management) to gather feedback and ensure the analytical models and solutions are tailored for their operational needs Change Management & Adoption Develop and execute rollout plans for digital applications, including training and onboarding for key end users. Develop and track KPIs to monitor performance of predictive (e.g. forecasting models) or prescriptive (simulation, AI based decision tools) models and collaborate with data science teams to ensure models are regularly calibrated and validated. About You Skills and Qualifications Bachelor’s or Master’s degree in operations research or any engineering/science/supply chain discipline from a recognized university with GPA 7.0 Minimum 3 years of experience in a business/data analyst or related role primarily supporting global supply chain operations with familiarity of Supply chain concepts like demand planning, inventory optimization, S&OP, logistics, network design. At least 1 year of experience with analytical tools/advanced modeling such as python or R where you have transformed complex sets of data to generate business insights through data analysis, pattern identification or statistical modeling. Familiar with software product development frameworks like agile. At least 1 year of hands-on experience in developing visualization or analysis using analytics tool like power BI, or quicksight or tableau. At least 1 year of experience working in a supply chain function – planning, logistics, material management. Proven track record of developing and implementing data-driven analyses to improve operational efficiency. Strong understanding and hands-on experience with analytics and data visualization tools (e.g., Tableau, Power BI, plotly). Proficiency in programming languages such as SQL, Python or R to do data wrangling and modeling. Preferred knowledge Exposure to forecasting models, optimization or any supply chain design tools (e.g. Llamasoft) Exposure to machine learning, AI (NLP, LLMs) solutions used in Supply chain industry for predictive and prescriptive analytics. Experience contributing to the development of commercial-grade software applications for supply chain use cases Familiar with software testing and development practices (Agile) Ability to demonstrate initiative, teamwork, accuracy, effectiveness, and self-confidence Strong problem-solving skills and the ability to work independently and as part of a team. Excellent communication skills, both written and verbal. Your benefits An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you: Competitive compensation Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits Retirement benefits Global networking & cross-functional opportunities Annual vacations & holidays Day care assistance program Training and development program Tuition assistance program Workplace flexibility policy Relocation program Transportation facility Please note benefits may change from time to time without notice, subject to applicable laws. The benefits programs are based on the Company’s eligibility guidelines. Stay connected with us Learn more about ExxonMobil in India, visit ExxonMobil India and Energy Factor India. Follow us on LinkedIn and Instagram Like us on Facebook Subscribe our channel at YouTube EEO Statement ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status. Business solicitation and recruiting scams ExxonMobil does not use recruiting or placement agencies that charge candidates an advance fee of any kind (e.g., placement fees, immigration processing fees, etc.). Follow the LINK to understand more about recruitment scams in the name of ExxonMobil. Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

You will provide analytics support to Novartis internal customers (CPOs & Regional marketing and sales teams) on various low-medium complexity analytical reports. You will support and facilitate data-enabled decision-making for Novartis internal customers by providing and communicating qualitative and quantitative analytics. Additionally, you will support GBS - GCO business in building practice by involving in various initiatives like knowledge sharing, on-boarding and training support, supporting team lead in all business-related tasks/activities, building process documentation, and knowledge repositories. You will also be an integral part of a comprehensive design team responsible for designing promotional marketing materials. As an Analyst at Novartis, your key responsibilities will include creating and delivering Field Excellence insights as per agreed SLAs, designing, developing, and/or maintaining ETL based solutions that optimize field excellence activities, delivering services through an Agile project management approach, maintaining standard operating procedures (SOPs) and quality checklists, and developing and maintaining knowledge repositories collecting qualitative and quantitative data of field excellence related trends across Novartis operating markets. Essential requirements for this role include 2 years of experience in SQL and Excel, learning agility, the ability to manage multiple stakeholders, experience in Pharma datasets, and experience in Python or any other scripting language. Desirable requirements include a University/Advanced degree, ideally a Masters degree or equivalent experience in fields such as business administration, finance, computer science, or a technical field. Experience of at least 3 years in using ETL tools (Alteryx, DataIKU, Matillion, etc.) and hands-on experience with cloud-based platforms like SnowFlake is mandatory. Novartis's purpose is to reimagine medicine to improve and extend people's lives, with a vision to become the most valued and trusted medicines company in the world. By joining Novartis, you will be a part of a mission-driven organization where associates drive the company to reach its ambitions. If you are passionate about making a difference in patients" lives and want to be part of a community of smart and dedicated individuals, consider joining Novartis. For more information about benefits and rewards at Novartis, you can refer to the Novartis Life Handbook at https://www.novartis.com/careers/benefits-rewards. If you are interested in staying connected with Novartis and learning about future career opportunities, you can join the Novartis Network here: https://talentnetwork.novartis.com/network.,

Summary About the role: The Digital Finance function within Novartis is responsible for driving the data and tools, AI and ML strategy for finance across the organization. We are seeking a highly skilled and detail-oriented Senior Manager, Data Analytics. The primary responsibility of this role is to effectively manage and analyze large volumes of data, with the aim of extracting valuable insights. The ideal candidate should possess exceptional analytical skills, as well as the ability to manipulate and interpret complex datasets using a variety of technologies, including programming languages. Additionally, the candidate should be able to foster strong relationships with global stakeholders and effectively communicate business analyst needs to data engineers or software engineers. About the Role Key Requirements: Data Analysis: Utilize statistical techniques and data mining methods to analyze large datasets. Identify trends, patterns, and correlations to uncover valuable insights and address critical business questions. Data Validation, Cleaning and Preprocessing: Thoroughly clean, validate, and organize data to ensure accuracy and consistency. Identify and resolve data quality issues, such as missing values and outliers, to maintain data integrity Data Visualization: Present findings in a clear and concise manner through the use of charts, graphs, and other visualizations. Enable users to easily understand and interpret the data through effective visual representations. Ad-hoc Data Analysis: Conduct ad-hoc data analysis to provide actionable recommendations to stakeholders. Proactively address emerging business needs by performing on-demand data analysis to support decision-making processes. Collaboration: Collaborate closely with cross-functional teams, including business analysts, data engineers, and data scientists, to understand their requirements and provide data-driven solutions. Foster effective teamwork and communication to deliver optimal outcomes. Storytelling : Generate insights from the data and communicate them to the key stakeholders, both technical and non-technical. Understand and explain the implications of the findings on the processes, products or business. Documentation: Develop and maintain documentation related to data analysis processes and procedures. Ensure clear and comprehensive documentation to facilitate knowledge sharing and replication of analysis methods. Continuous Improvement: Stay up-to-date with the latest trends and techniques in data analytics. Continuously explore and implement new tools and technologies to enhance data analysis processes, ensuring they align with industry best practices. Essential Requirements: Strong analytical skills with the ability to manipulate and interpret large datasets. Knowledge of statistical techniques and data mining algorithms. Proficiency in programming languages (example - Python language). Strong SQL with aptitude for learning other analytics tools Experience with BI tools like PowerBI or Qlik and ETL tools like Dataiku/Alteryx. Effective communication skills to present findings to both technical and non-technical stakeholders Desirable Requirements: 5+ years extensive experience in Data and/or Business Analytics, candidates with a background in Financial Data Analytics will be an added advantage Bachelor’s or Master’s degree in a relevant field such as mathematics, statistics, economics, or computer science. strong written and verbal communication skills Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards Division Finance Business Unit Universal Hierarchy Node Location India Site Hyderabad (Office) Company / Legal Entity IN10 (FCRS = IN010) Novartis Healthcare Private Limited Functional Area Audit & Finance Job Type Full time Employment Type Regular Shift Work No Accessibility and accommodation Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to [email protected] and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.

Job Description The Opportunity Are you an innovative technical expert, looking for an opportunity to use your technology skills and strengths to impact a product centric data and analytics organization within an enterprise? Are you looking for an opportunity where you will be able to help various products and services teams build their solutions in a modular fashion, which enables an end-to-end customer journey in an integrated fashion? Are you looking to go beyond just platforms and technologies and build true value add, self-serve data and analytics products? If so, come join us and help us build one of the industry’s most complete and advanced data and analytics eco system. As a MLOPs Analyst , you will be pivotal in shaping the future of our AI/ML technology landscape. We are looking for a skilled professional to join our team, responsible for bridging the gap between machine learning model development and operational deployment. In this role, you will focus on the implementation, monitoring, and optimization of end-to-end machine learning workflows, ensuring that AI/ML solutions are effectively integrated into our business processes and deliver measurable value. You will work closely with technical product managers, architects, and other stakeholders to design and implement enterprise-level AI/ML solutions at scale. You should be proactive in learning and experimenting with emerging AI/ML technologies, demonstrating a commitment to continuous improvement and innovation. What You'll Do Design and implement automated workflows for model training, validation, and deployment, utilizing CI/CD practices tailored for AI/ML. Collaborate with data scientists and engineers to deploy machine learning models into production environments, ensuring scalability and reliability. Establish monitoring systems to track model performance and drifts and implement strategies for model retraining and updates as necessary. Maintain comprehensive documentation of MLOps processes, deployment procedures, and operational guidelines. Assist in establishing efficient and secure enterprise standards for the pre-training, fine-tuning, and deployment of custom generative AI models. Evaluate new capabilities within AI/ML products, develop customized functionalities using programming languages such as R and Python, utilize AWS services and implement CI/CD model deployment strategies and solutions. Partner with product managers and architects to craft technical solutions that meet business requirements, platform integrations and create technical documentation, training materials, and knowledge-sharing resources related to AI/ML products. Comprehensive testing of AI/ML solutions and quality assurance to ensure the reliability, robustness, and accuracy. Offer technical expertise and assistance to internal stakeholders and implementation teams. Engage effectively with a global, multicultural team both in-person and virtually, across various products to identify and leverage synergies. Required Skills Practical experience with MLOps tools and frameworks (e.g., MLflow, Kubernetes), with a track record of implementing effective MLOps strategies. Understanding of CI/CD pipelines and DevOps practices as they relate to AI/ML. In-depth knowledge of AI/ML platforms like Databricks, Dataiku and Posit. Solid understanding of fundamental machine learning principles. Extensive expertise in the AWS cloud ecosystem, including familiarity with storage, database, streaming and messaging services, as well as AI/ML and cognitive services. Proficiency in R and Python programming languages, with a strong foundation in data engineering and data science principles. Bachelor’s degree in Computer Science, Information Technology, or a related field, along with 5+ years of experience in data science, with a strong focus on MLOps and successful deployment of machine learning models in production environments. Skills Needed Hands-on experience with version control systems like Git and containerization tools such as Docker. Experience in Agile environments and familiarity with the Scrum framework. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model Preferred Skills Job Posting End Date 07/31/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R345614

Location: Pune (Hybrid) Experience: 5-8 Years Budget up to 25 LPA Must-Have: Technology: · Python 3 · Angular · Cloud technology (GCP / Azure / AWS). · Understand Docker, Kubernetes. Python + Angular JD Essential Responsibilities and Duties: · Strong Experience in Python and/or Java: Proven experience (5+ years) in backend development with Python or Java, focusing on building scalable and maintainable applications. · Angular Development Expertise: Strong hands-on experience in developing modern, responsive web applications using Angular. · Microservices Architecture: In-depth knowledge of designing, developing, and deploying microservices-based architectures. · DevOps Understanding: Good understanding of DevOps practices, CI/CD pipelines, and tools to automate deployment and operations. · Problem-Solving Skills: Ability to investigate, analyse, and resolve complex technical issues efficiently. · Adaptability: Strong aptitude for learning and applying new technologies in a fast-paced environment. · Cloud Environments Knowledge: Hands-on experience with at least one cloud platform (GCP, Azure, AWS). · Containerization Technologies: Experience working with container technologies like Kubernetes and Docker for application deployment and orchestration. Previous Experience and Competencies: · Bachelor’s degree in IT related discipline · Strong computer literacy with aptitude and readiness for multidiscipline training · 5 – 8 years seniority (Senior and Hands on) Preferred Qualifications · Strong in Software Engineering. · Interest in designing, analysing and troubleshooting large-scale distributed systems. · Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive. · Ability to debug and optimize code and automate routine tasks. · Good to have: Familiarity with data integration platforms like Dataiku or industrial data platforms like Cognite would be a bonus Behaviour: · Fosters and maintains excellent internal, client and third-party relationships · Possesses a high degree of initiative · Adaptable and willing to learn new technologies; keeps abreast of key developments in relevant technologies · Able to work under pressure · Excellent oral, written communication, and interpersonal skills · Practices effective listening techniques · Able to work independently or as part of a team · Effectively analyses and solves problems with attention to the root cause

Job Description Job Role: Data Scientist / AI Solution Engineer– India contractor Band Level: NA Reports to: Team Leader/Manager Preferred Location : Gurugram, Haryana, India Work Timings: 11:30 am – 08 pm IST Implement Proof of Concept and Pilot machine learning solutions using AWS ML toolkit and SaaS platforms Configure and optimize pre-built ML models for specific business requirements Set up automated data pipelines leveraging AWS services and third-party tools Create dashboards and visualizations to communicate insights to stakeholders Document technical processes and knowledge transfer for future maintenance Requirements Bachelor’s degree in computer science, Data Science, or related field 1-3 years of professional experience implementing machine learning solutions. We can entertain someone who is fresh graduate with significant work in AI in either internship or projects Demonstrated experience with AWS machine learning services (SageMaker, AWS ML Services, and understanding of underpinnings of ML models and evaluations.) Proficiency with data science SaaS tools (Dataiku, Indico, H2O.ai, or similar platforms) Working knowledge of AWS data engineering services (S3, Glue, Athena, Lambda) Experience with Python and common data manipulation libraries Strong problem-solving skills and ability to work independently Preferred Qualifications Previous contract or work experience in similar roles Familiarity with API integration between various platforms Experience with BI tools (Power BI, QuickSight) Knowledge of cost optimization techniques for AWS ML services Prior experience in our industry (please see company overview)

Job Description Manager, Data Scientist The Opportunity Based in Hyderabad, join a global healthcare biopharma company and be part of a 130- year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products. Drive innovation and execution excellence. Be a part of a team with passion for using data, analytics, and insights to drive decision-making, and which creates custom software, allowing us to tackle some of the world's greatest health threats. Our Technology Centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of our company’s IT operating model, Tech Centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy. A focused group of leaders in each Tech Center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers. Role Overview We are seeking a Senior Data Scientist to join our Enterprise IT Advanced Analytics team in our company. This role offers an exciting opportunity to work on initiatives that support our Finance, Procurement, Human Resources, and related business partners. If you have a strong background in machine learning, data science, and optionally large language models, and are passionate about leveraging technology to drive business success, we would love to hear from you. What will you do in this role Understand the needs of the business and translate those needs into technical/DS/ML language. Assess the applicability and develop machine learning and data science solutions to given problems with a focus on AI/ML methods, including large language models. Leverage software engineering methods, including coding, testing, and documentation. Apply data engineering and data modeling skills as needed to deliver the AI/ML solutions. Use visual analytics techniques during the data and business exploration and model building, and, if needed, as a part of the client-facing solution. Define, document, and execute small projects or sub-projects, managing risks and stakeholder involvement. Manage junior staff as a part of the delivery. Within a project delivery, manage stakeholder relationships, including problem resolution and feedback collection. Collaborate cross-functionally to deliver more complex IT or business solutions What should you have 3+ years’ experience as a Data Scientist Required Advanced knowledge of statistical modelling and machine learning, in particular regression, classification and forecasting models Proficiency in R and/or Python, git Experience in software development and data engineering with a focus on ML solution build and deployment Ability to apply data engineering and data modelling on a level supporting DS delivery Ability to apply visual analytics techniques and tools on a level supporting DS delivery Experience in project management, including risk management and stakeholder management Working proficiency in English language Preferred Knowledge of large language models (prompt engineering, RAG, agents...), not limited to GPT Knowledge of mathematical optimization techniques Advanced MLOps skills – DS/AI/ML solution build, deployment, monitoring Experience in one or multiple of the supported business functions and types of data (structured and unstructured) existing across those functions Knowledge of cloud services, in particular AWS stack Knowledge of data science platforms: Dataiku, Databricks Experience in a similar role in a global, research-oriented pharmaceutical company Proven track record of implementing machine learning and data science solutions Experience in managing stakeholder relationships Demonstrated experience in software development and data engineering Proven experience in project management Our technology teams operate as business partners, proposing ideas and innovative solutions that enable new organizational capabilities. We collaborate internationally to deliver services and solutions that help everyone be more productive and enable innovation. Who we are We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been inventing for life, bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world. What we look for Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us—and start making your impact today. #HYDIT2025 Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status: Regular Relocation: VISA Sponsorship: Travel Requirements: Flexible Work Arrangements: Hybrid Shift: Valid Driving License: Hazardous Material(s): Required Skills: Business, Business Intelligence (BI), Computer Science, Data Analysis, Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model Preferred Skills: Job Posting End Date: 07/31/2025 A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID: R359279

Job Description Manager, Data Visualization The Opportunity Based in Hyderabad, join a global healthcare biopharma company and be part of a 130- year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products. Drive innovation and execution excellence. Be a part of a team with passion for using data, analytics, and insights to drive decision-making, and which creates custom software, allowing us to tackle some of the world's greatest health threats. Our Technology centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of the company IT operating model, Tech centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy. A focused group of leaders in each tech center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers. Role Overview: A unique opportunity to be part of an Insight & Analytics Data hub for a leading biopharmaceutical company and define a culture that creates a compelling customer experience. Bring your entrepreneurial curiosity and learning spirit into a career of purpose, personal growth, and leadership. We are seeking those who have a passion for using data, analytics, and insights to drive decision-making that will allow us to tackle some of the world's greatest health threats As a manager in Data Visualization, you will be focused on designing and developing compelling data visualizations solutions to enable actionable insights & facilitate intuitive information consumption for internal business stakeholders. The ideal candidate will demonstrate competency in building user-centric visuals & dashboards that empower stakeholders with data driven insights & decision-making capability. Our Quantitative Sciences team use big data to analyze the safety and efficacy claims of our potential medical breakthroughs. We review the quality and reliability of clinical studies using deep scientific knowledge, statistical analysis, and high-quality data to support decision-making in clinical trials. What will you do in this role: Design & develop user-centric data visualization solutions utilizing complex data sources. Identify & define key business metrics and KPIs in partnership with business stakeholders. Define & develop scalable data models in alignment & support from data engineering & IT teams. Lead UI UX workshops to develop user stories, wireframes & develop intuitive visualizations. Collaborate with data engineering, data science & IT teams to deliver business friendly dashboard & reporting solutions. Apply best practices in data visualization design & continuously improve upon intuitive user experience for business stakeholders. Provide thought leadership and data visualization best practices to the broader Data & Analytics organization. Identify opportunities to apply data visualization technologies to streamline & enhance manual / legacy reporting deliveries. Provide training & coaching to internal stakeholders to enable a self-service operating model. Co-create information governance & apply data privacy best practices to solutions. Continuously innovative on visualization best practices & technologies by reviewing external resources & marketplace. What Should you have: 5 years’ relevant experience in data visualization, infographics, and interactive visual storytelling Working experience and knowledge in Power BI / QLIK / Spotfire / Tableau and other data visualization technologies Working experience and knowledge in ETL process, data modeling techniques & platforms (Alteryx, Informatica, Dataiku, etc.) Experience working with Database technologies (Redshift, Oracle, Snowflake, etc) & data processing languages (SQL, Python, R, etc.) Experience in leveraging and managing third party vendors and contractors. Self-motivation, proactivity, and ability to work independently with minimum direction. Excellent interpersonal and communication skills Excellent organizational skills, with ability to navigate a complex matrix environment and organize/prioritize work efficiently and effectively. Demonstrated ability to collaborate and lead with diverse groups of work colleagues and positively manage ambiguity. Experience in Pharma and or Biotech Industry is a plus. Our technology teams operate as business partners, proposing ideas and innovative solutions that enable new organizational capabilities. We collaborate internationally to deliver services and solutions that help everyone be more productive and enable innovation. Who we are: We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been inventing for life, bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world. What we look for: Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us—and start making your impact today. #HYDIT2025 Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status: Regular Relocation: VISA Sponsorship: Travel Requirements: Flexible Work Arrangements: Hybrid Shift: Valid Driving License: Hazardous Material(s): Required Skills: Business Intelligence (BI), Clinical Decision Support (CDS), Clinical Testing, Communication, Create User Stories, Data Visualization, Digital Transformation, Healthcare Innovation, Information Technology Operations, IT Operation, Management Process, Marketing, Motivation Management, Requirements Management, Self Motivation, Statistical Analysis, Statistics, Thought Leadership, User Experience (UX) Design Preferred Skills: Job Posting End Date: 07/31/2025 A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID: R359276

Job Role: Data Scientist / AI Solution Engineer– India contractor Band Level: NA Reports to: Team Leader/Manager Preferred Location : Gurugram, Haryana, India Work Timings: 11:30 am – 08 pm IST - Implement Proof of Concept and Pilot machine learning solutions using AWS ML toolkit and SaaS platforms - Configure and optimize pre-built ML models for specific business requirements - Set up automated data pipelines leveraging AWS services and third-party tools - Create dashboards and visualizations to communicate insights to stakeholders - Document technical processes and knowledge transfer for future maintenance Requirements - Bachelor’s degree in computer science, Data Science, or related field - 1-3 years of professional experience implementing machine learning solutions. -We can entertain someone who is fresh graduate with significant work in AI in either internship or projects - Demonstrated experience with AWS machine learning services (SageMaker, AWS ML Services, and understanding of underpinnings of ML models and evaluations.) - Proficiency with data science SaaS tools (Dataiku, Indico, H2O.ai, or similar platforms) - Working knowledge of AWS data engineering services (S3, Glue, Athena, Lambda) - Experience with Python and common data manipulation libraries - Strong problem-solving skills and ability to work independently Preferred Qualifications - Previous contract or work experience in similar roles - Familiarity with API integration between various platforms - Experience with BI tools (Power BI, QuickSight) - Knowledge of cost optimization techniques for AWS ML services - Prior experience in our industry (please see company overview)

Job Location: - Gurugram, Haryana, India Work Timings: 11:30 am – 08 pm IST Exp:- 3-10 y Requirements - Bachelor’s degree in computer science, Data Science, or related field - Experience in implementing machine learning solutions. -We can entertain someone who is fresh graduate with significant work in AI in either internship or projects - Demonstrated experience with AWS machine learning services (SageMaker, AWS ML Services, and understanding of underpinnings of ML models and evaluations.) - Proficiency with data science SaaS tools (Dataiku, Indico, H2O.ai, or similar platforms) - Working knowledge of AWS data engineering services (S3, Glue, Athena, Lambda) - Experience with Python and common data manipulation libraries - Strong problem-solving skills and ability to work independently Preferred Qualifications - Previous contract or work experience in similar roles - Familiarity with API integration between various platforms - Experience with BI tools (Power BI, QuickSight) - Knowledge of cost optimization techniques for AWS ML services - Prior experience in our industry (please see company overview)

Job Description Manager, Data Scientist The Opportunity Based in Hyderabad, join a global healthcare biopharma company and be part of a 130- year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products. Drive innovation and execution excellence. Be a part of a team with passion for using data, analytics, and insights to drive decision-making, and which creates custom software, allowing us to tackle some of the world's greatest health threats. Our Technology Centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of our company’s IT operating model, Tech Centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy. A focused group of leaders in each Tech Center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers. Role Overview We are seeking a Senior Data Scientist to join our Enterprise IT Advanced Analytics team in our company. This role offers an exciting opportunity to work on initiatives that support our Finance, Procurement, Human Resources, and related business partners. If you have a strong background in machine learning, data science, and optionally large language models, and are passionate about leveraging technology to drive business success, we would love to hear from you. What Will You Do In This Role Understand the needs of the business and translate those needs into technical/DS/ML language. Assess the applicability and develop machine learning and data science solutions to given problems with a focus on AI/ML methods, including large language models. Leverage software engineering methods, including coding, testing, and documentation. Apply data engineering and data modeling skills as needed to deliver the AI/ML solutions. Use visual analytics techniques during the data and business exploration and model building, and, if needed, as a part of the client-facing solution. Define, document, and execute small projects or sub-projects, managing risks and stakeholder involvement. Manage junior staff as a part of the delivery. Within a project delivery, manage stakeholder relationships, including problem resolution and feedback collection. Collaborate cross-functionally to deliver more complex IT or business solutions What Should You Have 3+ years’ experience as a Data Scientist Required Advanced knowledge of statistical modelling and machine learning, in particular regression, classification and forecasting models Proficiency in R and/or Python, git Experience in software development and data engineering with a focus on ML solution build and deployment Ability to apply data engineering and data modelling on a level supporting DS delivery Ability to apply visual analytics techniques and tools on a level supporting DS delivery Experience in project management, including risk management and stakeholder management Working proficiency in English language Preferred Knowledge of large language models (prompt engineering, RAG, agents...), not limited to GPT Knowledge of mathematical optimization techniques Advanced MLOps skills – DS/AI/ML solution build, deployment, monitoring Experience in one or multiple of the supported business functions and types of data (structured and unstructured) existing across those functions Knowledge of cloud services, in particular AWS stack Knowledge of data science platforms Dataiku, Databricks Experience in a similar role in a global, research-oriented pharmaceutical company Proven track record of implementing machine learning and data science solutions Experience in managing stakeholder relationships Demonstrated experience in software development and data engineering Proven experience in project management Our technology teams operate as business partners, proposing ideas and innovative solutions that enable new organizational capabilities. We collaborate internationally to deliver services and solutions that help everyone be more productive and enable innovation. Who We Are We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been inventing for life, bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world. What We Look For Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us—and start making your impact today. #HYDIT2025 Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business, Business Intelligence (BI), Computer Science, Data Analysis, Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model Preferred Skills Job Posting End Date 07/31/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R359279

Job Description Manager, Data Visualization The Opportunity Based in Hyderabad, join a global healthcare biopharma company and be part of a 130- year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products. Drive innovation and execution excellence. Be a part of a team with passion for using data, analytics, and insights to drive decision-making, and which creates custom software, allowing us to tackle some of the world's greatest health threats. Our Technology centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of the company IT operating model, Tech centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy. A focused group of leaders in each tech center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers. Role Overview A unique opportunity to be part of an Insight & Analytics Data hub for a leading biopharmaceutical company and define a culture that creates a compelling customer experience. Bring your entrepreneurial curiosity and learning spirit into a career of purpose, personal growth, and leadership. We are seeking those who have a passion for using data, analytics, and insights to drive decision-making that will allow us to tackle some of the world's greatest health threats As a manager in Data Visualization, you will be focused on designing and developing compelling data visualizations solutions to enable actionable insights & facilitate intuitive information consumption for internal business stakeholders. The ideal candidate will demonstrate competency in building user-centric visuals & dashboards that empower stakeholders with data driven insights & decision-making capability. Our Quantitative Sciences team use big data to analyze the safety and efficacy claims of our potential medical breakthroughs. We review the quality and reliability of clinical studies using deep scientific knowledge, statistical analysis, and high-quality data to support decision-making in clinical trials. What Will You Do In This Role Design & develop user-centric data visualization solutions utilizing complex data sources. Identify & define key business metrics and KPIs in partnership with business stakeholders. Define & develop scalable data models in alignment & support from data engineering & IT teams. Lead UI UX workshops to develop user stories, wireframes & develop intuitive visualizations. Collaborate with data engineering, data science & IT teams to deliver business friendly dashboard & reporting solutions. Apply best practices in data visualization design & continuously improve upon intuitive user experience for business stakeholders. Provide thought leadership and data visualization best practices to the broader Data & Analytics organization. Identify opportunities to apply data visualization technologies to streamline & enhance manual / legacy reporting deliveries. Provide training & coaching to internal stakeholders to enable a self-service operating model. Co-create information governance & apply data privacy best practices to solutions. Continuously innovative on visualization best practices & technologies by reviewing external resources & marketplace. What Should You Have 5 years’ relevant experience in data visualization, infographics, and interactive visual storytelling Working experience and knowledge in Power BI / QLIK / Spotfire / Tableau and other data visualization technologies Working experience and knowledge in ETL process, data modeling techniques & platforms (Alteryx, Informatica, Dataiku, etc.) Experience working with Database technologies (Redshift, Oracle, Snowflake, etc) & data processing languages (SQL, Python, R, etc.) Experience in leveraging and managing third party vendors and contractors. Self-motivation, proactivity, and ability to work independently with minimum direction. Excellent interpersonal and communication skills Excellent organizational skills, with ability to navigate a complex matrix environment and organize/prioritize work efficiently and effectively. Demonstrated ability to collaborate and lead with diverse groups of work colleagues and positively manage ambiguity. Experience in Pharma and or Biotech Industry is a plus. Our technology teams operate as business partners, proposing ideas and innovative solutions that enable new organizational capabilities. We collaborate internationally to deliver services and solutions that help everyone be more productive and enable innovation. Who We Are We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been inventing for life, bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world. What We Look For Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us—and start making your impact today. #HYDIT2025 Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Clinical Decision Support (CDS), Clinical Testing, Communication, Create User Stories, Data Visualization, Digital Transformation, Healthcare Innovation, Information Technology Operations, IT Operation, Management Process, Marketing, Motivation Management, Requirements Management, Self Motivation, Statistical Analysis, Statistics, Thought Leadership, User Experience (UX) Design Preferred Skills Job Posting End Date 07/31/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R359276

Job Description Associate Specialist/Analyst - Data Science At our company we are leveraging analytics and technology, as we invent for life on behalf of patients around the world. We are seeking those who have a passion for using data, analytics, and insights to drive decision making, that will allow us to tackle some of the world’s greatest health threats. Within our commercial Insights, Analytics, and Data organization we are transforming to better power decision-making across our end-to-end commercialization process, from business development to late lifecycle management. As we endeavor, we are seeking a dynamic talent to serve in the role of Analyst - Data Science. This role involves working with our partners in different Therapeutic areas (e.g. Oncology, Vaccines, Pharma & Rare Disease, etc.) and Domain areas (HCP Analytics, Patient Analytics, Segmentation & targeting, Market Access, etc.) across the organization to help create scalable and production-grade analytics solutions, ranging from data visualization and reporting to advanced statistical and AI/ML models. You will work in one of the three therapeutic areas of Brand Strategy and Performance Analytics – Oncology/Vaccines/Pharma & Rare Disease, where you will play a pivotal role in leveraging your statistical and machine learning expertise to address critical business challenges and derive insights to drive key decisions. Working alongside experienced data scientists and business analysts, you will have the opportunity to collaborate in translating business queries into analytical problems, employing your critical thinking, problem-solving, statistical, machine learning, and data visualization skills to deliver impactful solutions. We are seeking candidates with prior experience in the healthcare analytics or consulting sectors, prior hands-on experience in Data Science (building end-to-end ML models). It is preferred that you have a good understanding of Physician and Patient-level data (PLD) from leading vendors such as IQVIA, Komodo, and Optum. Familiarity with HCP Analytics, PLD analytics, concepts like persistence, compliance, line of therapy, etc., or Segmentation & Targeting is highly desirable. You will be part of a dynamic team that collaborates with our partners across therapeutic areas. Furthermore, effective communication skills are crucial, as this role requires interfacing with executive and business stakeholders. Who You Are You understand the foundations of statistics and machine learning and can work in high performance computing/cloud environments, with experience/knowledge in aspects across statistical analysis, machine learning, model development, data engineering, data visualization, and data interpretation You are self-motivated, and have demonstrated abilities to think independently as a data scientist You structure your data science approach according to the necessary task, while appropriately applying the correct level of model complexity to the problem at hand You have an agile mindset of continuous learning and will focus on integrating enterprise value into team culture You are kind, collaborative, and capable of seeking and giving candid feedback that effectively contributes to a more seamless day-to-day execution of tasks Key Responsibilities Understand the business requirements and support the manager to translate those to analytical problem statements. Implement the solution steps through SQL/Python, appropriate ML techniques without rigorous handholding. Follow technical requirements (Datasets, business rules, technical architecture) and industry best practices in every task. Collaborate with cross-functional teams to design and implement solutions that meet business requirements. Present the findings to US DS stakeholders in a clear and concise manner and address feedback. Adopt a continuous learning mindset, both technical and functional. Develop deep expertise in therapeutic area, with clear focus on commercial aspects. Minimum Qualifications Bachelor’s degree with at least 0-3 years industry experience (experience requirement can be waived off for exceptional candidates) Strong Python/R, SQL, Excel skills Strong foundations of statistics and machine learning Preferred Qualifications Advanced degree in STEM (MS, MBA, PhD) 1-3 years’ experience in healthcare analytics and consulting Familiarity with Physician and Patient-Level data (e.g., claims, electronic health records) and data from common healthcare data vendors (IQVIA, Optum, Komodo, etc.) Experience in HCP & Patient Level Data analytics (e.g., HCP Segmentation & targeting, Patient Cohorts, knowledge of Lines of Therapy, Persistency, Compliance, etc.) Proficiency in Data Science Concepts, Microsoft Excel and PowerPoint, and familiarity with Dataiku Our Human Health Division maintains a “patient first, profits later” ideology. The organization is comprised of sales, marketing, market access, digital analytics and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide. We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model Preferred Skills Job Posting End Date 07/31/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R335739

You will be joining our Analytics & Data organization in the role of Assistant Vice President / Associate level for the Key Metrics Analytics function. Your primary responsibility will be to continuously monitor, analyze, and report on key business data metrics to assist management and stakeholders in making informed decisions. Collaborating with the team, you will help identify trends, anomalies, and develop actionable insights to drive business outcomes effectively. Your key responsibilities will include: - Utilizing analytical skills to identify key trends and anomalies in key business metrics. - Demonstrating problem-solving skills by investigating key issues, gathering relevant data, and providing actionable recommendations. - Developing necessary processes for data analysis, trend identification, and detecting data discrepancies. - Working collaboratively with team members in Mumbai, NY/NJ, and Budapest. - Providing reporting support as required. To be successful in this role, you should have: - 2 years of experience in a data-centric role (3-5 years overall). - A Bachelor's degree. - Strong analytical and problem-solving skills. - Proficiency in SQL, MS Excel, and PowerPoint. - Experience or knowledge in Data & Analytics and/or Financial Services would be advantageous. - Ability to work independently, prioritize effectively, and delegate tasks. - Excellent written, verbal, presentation, and interpersonal skills. - Familiarity with Snowflake, Hadoop, Python, Dataiku, and Tableau is a plus. - Comfort working in a fast-paced and evolving environment. At Morgan Stanley, we are committed to upholding our values and providing a supportive and inclusive environment for all employees. You will have the opportunity to work alongside talented individuals and be supported in your professional growth. Our culture of inclusion and diversity ensures that individuals from all backgrounds can thrive and contribute meaningfully to the organization.,

We are looking for a Business Consultant with a strong background in sales and Data & AI solutions, services, and platforms to clients in APAC/USA . This role is based at Bangalore ( India). The person will focus on identifying new business opportunities, managing client relationships and driving revenue growth for Data & AI solutions/services. Experience & Skills: B2B Consultative Sales in Data or AI Domain: Proven 6-12 years of experience in B2B sales of technology services and solutions. Good understanding of data platforms and/or AI/ML solutions/services , and/or cloud-based analytics products e.g., Dataiku, Denodo, Databricks, Snowflake, Azure/AWS AI tools. Lead Generation & Pipeline Management: Experience in building and managing a sales pipeline through outreach (email/LinkedIn), nurturing inbound leads, and working closely with marketing and inside sales. APAC/USA Market Understanding: Track record of selling into APAC/USA markets (remote sales model), with strong understanding of enterprise buying cycles in BFSI, Retail, Manufacturing, or Healthcare domains. Consultative & Solution Selling: Ability to perform discovery workshops to understand prospects’ needs, challenges and expectations, build solution-oriented pitches, perform client demos and drive consultative sales to achieve business outcomes. Stakeholder Engagement: Comfortable engaging with CXO-level clients , procurement teams and technology buyers. Ability to present and negotiate effective Ability to work with ambiguity with limited resources i.e. exposure to startup or high-growth consulting environments. Educational Background: Bachelor’s degree in Engineering, Business, or IT. MBA is Plus. Desired but not mandatory: Experience in partner-led sales (e.g., AWS, Azure, Dataiku, Snowflake) Exposure to financial services and insurance industries. Responsibilities: Formulate a go-to-market strategy for SCIENTE offerings and work towards achieving measurable revenue KPIs. Drive new customer acquisition for Data & AI solutions in assigned geographies. Understand customer needs and propose relevant services and solutions . Respond to RFPs/RFIs, create proposals, and lead solutioning with pre-sales/tech teams. Build and maintain a qualified pipeline, manage forecasting, and achieve quarterly sales targets. Collaborate with on-site management executives, off-shore delivery, marketing, and leadership teams to achieve the desired business outcome. Track market trends, competitor movements, and customer feedback to refine offerings. Should you be interested in this opportunity, please send in your updated resume to HR@sciente.com at the earliest. To know more, please visit https://www.sciente.com Only shortlisted candidates meeting mandatory pre-requisites shall be notified. When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (https://www.sciente.com/privacy-policy). Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

The role requires advanced level skills and very good working knowledge in Python and DataIku (Analytics tool). You should have very good knowledge in developing DataIku dashboards and reports. Utilize your knowledge of applications development procedures and concepts and other technical aspects to identify and define requirements to enhance the system. Identify and analyze issues, make recommendations, and implement solutions. Utilize your knowledge of business processes, system processes, and industry standards to solve complex issues. You should have experience on SDLC Deployment Cycle and Agile Methodology. Good conceptual and working knowledge of DEV Ops Tools such as Jira, Bitbucket, Jenkins, etc. You will be expected to extend support in release timing during the weekend. Also, you should be willing to upskill in new tech stack/skills for project needs. As a DataIku Developer, you should have at least 2+ years of relevant experience with strong analytics query writing skills. You need to have a strong knowledge of Basic/Advanced Python and experience with the DataIku Analytics tool. It is essential to have experience in programming/debugging used in business applications. Working knowledge of industry practices and standards is required. You should have comprehensive knowledge of the specific business area for application development. Also, working knowledge of program languages, analytical, logical & problem-solving capabilities is expected. Consistently demonstrating clear and concise written and verbal communication skills is crucial. Knowledge of Excel/SQL would be good to have. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, review Accessibility at Citi. Citi is an equal opportunity employer. View Citis EEO Policy Statement and the Know Your Rights poster.,

Key Responsibilities: A day in the life of an Infoscion As part of the Infosys delivery team your primary role would be to ensure effective Design Development Validation and Support activities to assure that our clients are satisfied with the high levels of service in the technology domain You will gather the requirements and specifications to understand the client requirements in a detailed manner and translate the same into system requirements You will play a key role in the overall estimation of work requirements to provide the right information on project estimations to Technology Leads and Project Managers You would be a key contributor to building efficient programs systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey this is the place for you If you think you fit right in to help our clients navigate their next in their digital transformation journey this is the place for you Technical Requirements: Min 3 years of experience in Hadoop Administration working in production support projects Cloudera Certified Hadoop Administrator certification Must Experience in Installing configuring maintaining troubleshooting and monitoring Hadoop clusters and below components HDFS HBase Hive Sentry Hue Yarn Sqoop Spark Oozie ZooKeeper Flume Solr Experience in Installing configuring maintaining troubleshooting and monitoring of below Analytical tools and Integrating with Hadoop Datameer Paxata DataRobot H2O MRS Python R Studio SAS Dataiku Bluedata Very good at Job level troubleshooting Yarn Impala and other components Must Experience and Strong Knowledge of Unix Linux scripting Must Experience and knowledge on below tools Talend MySQl Galera Pepperdata Autowatch Netbackup Solix UDeploy RLM Troubleshoot development and production application problems across multiple environments and operating platforms Additional Responsibilities: Knowledge of design principles and fundamentals of architecture Understanding of performance engineering Knowledge of quality processes and estimation techniques Basic understanding of project domain Ability to translate functional nonfunctional requirements to systems requirements Ability to design and code complex programs Ability to write test cases and scenarios based on the specifications Good understanding of SDLC and agile methodologies Awareness of latest technologies and trends Logical thinking and problem solving skills along with an ability to collaborate Preferred Skills: Technology->Big Data - Hadoop->Hadoop,Technology->Big Data - Hadoop->Hadoop Administration->Hadoop

Looking for Immediate to 15 days joiners. Mandatory Skills DataIku for ETL operations and preferably other ETL tools like Informatica. Good in Python coding, SQL, GIT Proven experience as a Data Engineer, Data Integration, Data Analyst. Key Roles & Responsibilities 7+ years of experience, including 2+ years of experience in delivering projects in DataIku platforms. Proficiency in configuring and optimizing Dataikus architecture, including data connections, security settings and workflow management. Hands-on experience with Dataiku recipes, Designer nodes, API nodes & Automation nodes with deployment. Expertise in python scripting, automation and development of custom workflows in Dataiku Collaborate with data analyst, business stakeholders and client to gather and understand the requirement. To contribute to the developments in DataIku environment to apply data integration with given logic to fulfil Bank Regulatory requirement and other customer requirement. Gather, analyse and interpret requirement specifications received directly from the client. Ability to work independently and effectively in a fast-paced, dynamic environment. Strong analytical and problem-solving skills. Familiarity with agile development methodologies. Participate in the CR/Production deployment implementation process through Azure DevOps.

ML/OPS Engineer Hyderabad Full Time Opportunity Required Skills and Experience: Proven experience with MLflow for model tracking and lifecycle management. Hands-on experience with Amazon SageMaker for model training and deployment. Proficiency in Databricks for distributed data processing and ML. Familiarity with Dataiku DSS and its end-to-end data science workflow capabilities. Strong Python programming skills; experience with relevant ML libraries (e.g., scikit-learn, TensorFlow, PyTorch). Experience with cloud platforms (AWS preferred). Understanding of containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines. Excellent problem-solving and collaboration skills. Thanks & Regards Ramdas Sakthivel | Sr.Technical Recruiter Arthur Grand Technologies Inc ramdas@arthurgrand.com Job Type: Full-time Experience: ML flow: 3 years (Preferred) sagework: 3 years (Preferred) Dataiku DSS: 1 year (Preferred) Data bricks: 1 year (Preferred) Work Location: In person

The Data Lead for the AMEA (Asia, Middle East, and Africa) and India region is a strategic leadership position responsible for overseeing data management, data governance, data analytics, and data strategy initiatives across the region. Reporting to the CIO of AMEA & India, the Data Lead role will primarily focus on India (60%), ensuring effective and ethical use of data to drive business growth, operational efficiency, and informed decision-making. The remaining 40% of the role will involve coordination with Group and country data teams for adoption of Group data ecosystem, and compliance to Group policies and standards. This role requires a visionary leader with deep expertise in data science, data architecture, and data governance, as well as strong leadership and communication skills. Familiarly in the Energy domain or GCC context will be an added advantage. About the Role The Data Lead will oversee data management, governance, analytics, and strategy initiatives across the AMEA and India region. Responsibilities India level part (60%) Data Strategy and Governance Develop and implement data strategy of India, aligned with Group data strategy and business objectives and growth plans of India. Implement Group Data Policy across India scope. Establish data governance policies to ensure data quality, privacy, and security across all data assets. Oversee development and maintenance of data architecture and infrastructure, ensuring scalability and robustness. Monitor regulatory compliance related to data privacy and security, ensuring adherence to relevant data regulations of India. Data Management Lead design, implementation, and management of data management systems and processes, including data warehousing, data lakes, and data integration platforms. Ensure accurate and timely collection, storage, and retrieval of data from diverse sources across India business. Implement best practices for data lifecycle management, including data retention, archiving, and disposal. Managing data team, including data analysts, data scientists, and data engineers, ensuring that they are aligned with the organization's data strategy and goals. Ensuring that data is collected, stored, and analyzed in compliance with data privacy laws and regulations. Data Analytics and Insights Drive development and deployment of advanced analytics and business intelligence solutions to support data-driven decision-making. Lead a team of data scientists, analysts, and engineers to generate actionable insights from data, enabling business leaders to make informed decisions. Foster a culture of data literacy and data-driven innovation across the India business. AMEA level part (40%) Work as a single point of contact (SPOC) of AMEA region to coordinate with Group Data teams. Collaborate with regional and global stakeholders to ensure adoption of Group data policies and standards across the AMEA region. Collaborate with the country Data Leads to ensure consistency in data solutions, in line with Group data ecosystem. Collaborate with senior executives and business leaders to identify data-driven opportunities and challenges. Keeping up-to-date with the latest trends and technologies in the data field, and identifying opportunities to leverage emerging technologies to improve data-driven decision-making in the region. Build and maintain strong relationships with external partners, vendors, and industry experts to stay abreast of emerging trends and technologies. Qualifications Master's degree in data science, Computer Science, Information Technology, or a related field. At least 10 years of experience in data management, data analytics, or a related field, with a minimum of 5 years in a senior leadership role. Familiarly in the Energy domain or GCC context will be an added advantage. Proven track record of developing and executing data strategies that drive business value. In-depth knowledge of data governance, data architecture and data security. Conversant with data regulatory standards of India. Strong expertise in data analytics, machine learning, and AI. Excellent leadership, communication, and interpersonal skills. Ability to work effectively in a diverse and multicultural environment. Required Skills Ability to analyze large amounts of data to identify patterns, trends, and insights that can be used to drive business decisions. Ability to develop and implement a comprehensive data strategy that aligns with the organization's goals and objectives. Ability to communicate complex data-related concepts and insights to non-technical stakeholders in a clear and concise manner. Ability to manage and lead organizational change related to data strategy, policies, and processes. Have a strong understanding of business and industry in which the organization operates, and ability to use data to drive business outcomes. Familiarly in the Energy domain or GCC context will be an added advantage. Preferred Skills Proficiency in data management technologies, data engineering, analytics and data science. Proficiency in cloud platforms (AWS, Azure). Expertise in ETL, data modeling and data visualization tools. Familiarity with tools like Snowflake, Redshift, Databricks, Dataiku or similar, Power BI. Reports to : CIO of AMEA & India

Greetings from Teknikoz Experience : 3-5 Years Location : Pune Roles and Responsibilities Strong Experience in Python and/or Java: Proven experience (5+ years) in backend development with Python or Java, focusing on building scalable and maintainable applications. Angular Development Expertise: Strong hands-on experience in developing modern, responsive web applications using Angular. Microservices Architecture: In-depth knowledge of designing, developing, and deploying microservices-based architectures. DevOps Understanding: Good understanding of DevOps practices, CI/CD pipelines, and tools to automate deployment and operations. Problem-Solving Skills: Ability to investigate, analyse, and resolve complex technical issues efficiently. Adaptability: Strong aptitude for learning and applying new technologies in a fast-paced environment. Cloud Environments Knowledge: Hands-on experience with at least one cloud platform (GCP, Azure, AWS). Containerization Technologies: Experience working with container technologies like Kubernetes and Docker for application deployment and orchestration. Technology: Python 3 Angular Cloud technology (GCP / Azure / AWS). Understand Docker, Kubernetes. Previous Experience and Competencies: Bachelor’s degree in IT related discipline Strong computer literacy with aptitude and readiness for multidiscipline training Preferred Qualifications Strong in Software Engineering. Interest in designing, analysing and troubleshooting large-scale distributed systems. Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive. Ability to debug and optimize code and automate routine tasks. Good to have: Familiarity with data integration platforms like Dataiku or industrial data platforms like Cognite would be a bonus

Dataiku exp of at least 1.5-2 years. Good to know on creating and handling partitioned dataset in Dataiku. Good with Python, data handling using pandas, numpy (Pandas and numpy are must and must know it in depth) and basics of regex. Should be able to work on GCP big query and use terraform as base for managing the code changes.

Job Description Be part of the solution at Technip Energies and embark on a one-of-a-kind journey. You will be helping to develop cutting-edge solutions to solve real-world energy problems. About us: Technip Energies is a global technology and engineering powerhouse. With leadership positions in LNG, hydrogen, ethylene, sustainable chemistry, and CO2 management, we are contributing to the development of critical markets such as energy, energy derivatives, decarbonization, and circularity. Our complementary business segments, Technology, Products and Services (TPS) and Project Delivery, turn innovation into scalable and industrial reality. Through collaboration and excellence in execution, our 17,000+ employees across 34 countries are fully committed to bridging prosperity with sustainability for a world designed to last. About the role: We are currently seeking a Machine Learning (Ops) - Engineer , to join our Digi team based in Noida. Key Responsibilities: ML Pipeline Development and Automation: Design, build, and maintain end-to-end AI/ML CI/CD pipelines using Azure DevOps and leveraging Azure AI Stack (e.g., Azure ML, AI Foundry …) and Dataiku Model Deployment and Monitoring: Deliver tooling to deploy AI/ML products into production, ensuring they meet performance, reliability, and security standards. Implement and maintain a transversal monitoring solutions to track model performance, detect drift, and trigger retraining when necessary Collaboration and Support: Work closely with data scientists, AI/ML engineers, and platform team to ensure seamless integration of products into production. Provide technical support and troubleshooting for AI/ML pipelines and infrastructure, particularly in Azure and Dataiku environments Operational Excellence : Define and implement MLOps best practices with a strong focus on governance, security, and quality, while monitoring performance metrics and cost-efficiency to ensure continuous improvement and delivering optimized, high-quality deployments for Azure AI services and Dataiku Documentation and Reporting: Maintain comprehensive documentation of AI/ML pipelines, and processes, with a focus on Azure AI and Dataiku implementations. Provide regular updates to the AI Platform Lead on system status, risks, and resource needs About you: Proven track record of experience in MLOps, DevOps, or related roles Strong knowledge of machine learning workflows, data analytics, and Azure cloud Hands-on experience with tools and technologies such as Dataiku, Azure ML, Azure AI Services, Docker, Kubernetes, and Terraform Proficiency in programming languages such as Python, with experience in ML and automation libraries (e.g., TensorFlow, PyTorch, Azure AI SDK …) Expertise in CI/CD pipeline management and automation tools using Azure DevOps Familiarity with monitoring tools and logging frameworks Catch this opportunity and invest in your skills development, should your profile meet these requirements. Additional attributes: A proactive mindset with a focus on operationalizing AI/ML solutions to drive business value Experience with budget oversight and cost optimization in cloud environments. Knowledge of agile methodologies and software development lifecycle (SDLC). Strong problem-solving skills and attention to detail Work Experience: 3-5 years of experience in MLOps Minimum Education: Advanced degree (Master’s or PhD preferred) in Computer Science, Data Science, Engineering, or a related field. What’s next? Once receiving your application, our Talent Acquisition professionals will screen and match your profile against the role requirements. We ask for your patience as the team completes the volume of applications with reasonable timeframe. Check your application progress periodically via personal account from created candidate profile during your application. We invite you to get to know more about our company by visiting and follow us on LinkedIn, Instagram, Facebook, X and YouTube for company updates.