data scientist

analytical scientist

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analytical data scientist

Tata Consultancy Services

<div>
 
 Dear Candidates,
 
 
 Greeting from TCS!!!
 
 
 TCS is looking for Data Scientist
 
 
 Experience: 6-10 years
 
 
 Location: Hyderabad / Chennai
 
 
 
 
 
 MUST HAVE SKILLS:
 
 <ul>
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 Experience in building, deploying AI/ML solution using Cloudera Data Science workbench, model performance monitoring on real time &amp; remediation
 </li>
 <li>
 Python, R etc.
 </li>
 <li>
 Good knowledge of ML in customer analytics using segmentation, CLV, Cross-up sell model, propensity model etc.
 </li>
 <li>
 Good knowledge of end-to-end data science implementation including data ingestion, integration
 </li>
 <li>
 Good knowledge on channel performance, marketing strategies &amp; Optimize customer acquisition efforts
 </li>
 </ul>
 
 
 
 
 GOOD TO HAVE SKILL:
 
 <ul>
 <li>
 Masters degree in a quantitative discipline.
 </li>
 <li>
 MLOps/ DevOps
 </li>
 <li>
 BI tools like Power BI
 </li>
 </ul>
 
 
 
 
 ROLES AND RESPONSIBILITIES:
 
 <ul>
 <li>
 Ability to tailor communications to a variety of internal and external audiences.
 </li>
 <li>
 Distinctive problem-solving and analytical skills with a high degree of analytical rigor.
 </li>
 <li>
 Effective written and verbal communication and interpersonal skills.
 </li>
 <li>
 Ability to engage with senior C-level business leaders.
 </li>
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 Calm under pressure, ability to juggle multiple priorities and ambiguity.
 </li>
 <li>
 Strategic mindset, strong project management skills, keen business acumen and the ability to thrive in a rapid paced environment on multiple projects with many stakeholders
 </li>
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 Conduct deep dive diagnostic analysis on current business performance to understand business drivers, design hypothesis trees, and develop Root Cause Analysis
 </li>
 <li>
 Use Data Science and Advanced Analytics (Cluster analysis, Segmentation, Text mining, Regression Modeling, Logistic Regressions) to help generate actionable insights and recommendations and inform decision making on Cloud Marketing performance.
 </li>
 <li>
 Serve as a SME and Design insightful tests (test length, KPIs, AB test vs. MVT etc., Statistical Test to use.) that adhere to testing best practices.
 </li>
 <li>
 Develop coherent end to end problem structures ranging from objective function, key hypothesis, success KPIs, Drivers Tree and Analytics approach
 </li>
 <li>
 Collaborate with business partners to validate hypotheses and help stakeholders to think about optimization opportunities and future test plans
 </li>
 </ul>
 
 
</div>

Data Scientist

PepsiCo

<div>
 
 Overview
 
 
 
 
 We are PepsiCo
 
 
 
 PepsiCo is one of the world's leading food and beverage companies with more than $79 Billion in Net Revenue and a global portfolio of diverse and beloved brands. We have a complementary food and beverage portfolio that includes 22 brands that each generate more than $1 Billion in annual retail sales. PepsiCo's products are sold in more than 200 countries and territories around the world. PepsiCo's strength is its people. We are over 250,000 game changers, mountain movers and history makers, located around the world, and united by a shared set of values and goals.
 
 
 We believe that acting ethically and responsibly is not only the right thing to do, but also the right thing to do for our business. At PepsiCo, we aim to deliver top-tier financial performance over the long term by integrating sustainability into our business strategy, leaving a positive imprint on society and the environment. We call this
 
 Winning with Pep+ Positive
 
 . For more information on PepsiCo and the opportunities it holds, visit www.pepsico.com.
 
 
 
 PepsiCo Data Analytics &amp; AI Overview:
 
 
 
 With data deeply embedded in our DNA, PepsiCo Data, Analytics and AI (DA&amp;AI) transforms data into consumer delight. We build and organize business-ready data that allows PepsiCo&rsquo;s leaders to solve their problems with the highest degree of confidence. Our platform of data products and services ensures data is activated at scale. This enables new revenue streams, deeper partner relationships, new consumer experiences, and innovation across the enterprise.
 
 
 The Data Science Pillar in DA&amp;AI will be the organization where Data Scientist and ML Engineers report to in the broader D+A Organization. Also DS will lead, facilitate and collaborate on the larger DS community in PepsiCo. DS will provide the talent for the development and support of DS component and its life cycle within DA&amp;AI Products. And will support &ldquo;pre-engagement&rdquo; activities as requested and validated by the prioritization framework of DA&amp;AI.
 
 
 
 Data Scientist-Gurugram and Hyderabad
 
 
 
 The role will work in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Machine Learning Services and Pipelines.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope
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 Collaborate with data engineers and ML engineers to understand data and models and leverage various advanced analytics capabilities
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 Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards
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 Use big data technologies to help process data and build scaled data pipelines (batch to real time)
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 Automate the end-to-end ML lifecycle with Azure Machine Learning and Azure/AWS/GCP Pipelines.
 </li>
 <li>
 Setup cloud alerts, monitors, dashboards, and logging and troubleshoot machine learning infrastructure
 </li>
 <li>
 Automate ML models deployments
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Minimum 3years of hands-on work experience in data science / Machine learning
 </li>
 <li>
 Minimum 3year of SQL experience
 </li>
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 Experience in DevOps and Machine Learning (ML) with hands-on experience with one or more cloud service providers.
 </li>
 <li>
 BE/BS in Computer Science, Math, Physics, or other technical fields.
 </li>
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 Data Science - Hands on experience and strong knowledge of building machine learning models - supervised and unsupervised models
 </li>
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 Programming Skills - Hands-on experience in statistical programming languages like Python and database query languages like SQL
 </li>
 <li>
 Statistics - Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators
 </li>
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 Any Cloud - Experience in Databricks and ADF is desirable
 </li>
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 Familiarity with Spark, Hive, Pig is an added advantage
 </li>
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 Model deployment experience will be a plus
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 Experience with version control systems like GitHub and CI/CD tools
 </li>
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 Experience in Exploratory data Analysis
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 Knowledge of ML Ops / DevOps and deploying ML models is required
 </li>
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 Experience using MLFlow, Kubeflow etc. will be preferred
 </li>
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 Experience executing and contributing to ML OPS automation infrastructure is good to have
 </li>
 <li>
 Exceptional analytical and problem-solving skills
 </li>
 </ul>
</div>

Golden Opportunities

<div>
 
 Job Description
 
 
 
 Define, build, and lead a team of Data Scientists and Data analysts Discover areas in operations that can be automated through machine learning Demonstrate through technical knowledge on Statistical modeling, Probability and Decision theory, Operations Research techniques and other quantitative modeling techniques Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytical solutions Work closely with internal stakeholders and align them with respect to your focus area Innovate by adapting new modeling techniques and procedures Implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports.
 
 
 
 Skills Required
 
 
 
 RoleData Scientist
 
 
 Industry TypeIT/ Computers - Software]
 
 
 Functional AreaIT-Software
 
 
 Required Education
 
 
 Employment TypeFull Time, Permanent
 
 
 Key Skills
 
 
 <ul>
 <li>
 DATA SCIENCE
 </li>
 <li>
 MACHINE LEARNING
 
 
 </li>
 </ul>
 Other Information
 
 
 Job CodeGO/JC/1384/2025
 
 
 Recruiter NameRamya V
</div>

Data Scientist - GO/JC/1384/2025

Advance Auto Parts

<div>
 
 Job Description
 
 
 
 
 Pricing Scientist
 
 
 
 
 About Advance Auto Parts
 
 
 
 Founded in Roanoke, VA in 1932, Advance Auto Parts is a leading automotive aftermarket retail parts provider that serves both professional installer and do-it-yourself Customers. As of July 13, 2019, Advance operated 4,912 stores and 150 Worldpac branches in the United States, Canada, Puerto Rico, and the U.S. Virgin Islands. The Company also serves 1,250 independently owned CARQUEST branded stores across these locations in addition to Mexico, the Bahamas, Turks, and Caicos and the British Virgin Islands. The company has a workforce of over 70,000 knowledgeable and experienced Team Members who are proud to provide outstanding service to their Customers, Communities, and each other every day.
 
 
 
 About Aap Global Capability Center
 
 
 
 We are continually innovating and seeking to elevate the Customer experience at each of our stores. For an organization of our size and reach, today, it has become more critical than ever, to identify synergies and build shared capabilities. The AAP Global Capability Center, located in Hyderabad, is a step in this strategic direction that enables us to access a larger talent pool, unlock operational efficiencies and increase levels of collaboration.
 
 
 
 About Pricing Team
 
 
 
 The Pricing team is growing its presence in India to help expand our technical, brand, and analytical capabilities across the enterprise. This is a fantastic opportunity to join a team of highly specialized and focused individuals dedicated to driving our brand marketing and eCommerce outcomes in a collaborative environment.
 
 
 Join the Pricing team and start reimagining the future of automotive retail. Disrupt the way consumers buy Auto Parts and join a fast-growing eCommerce team to take on the industry&rsquo;s biggest challenges.
 
 
 The focus here is on our customers -- how we make them happy, earn their trust, and create loyalty. We want to expand our best in class data science capability to predict consumer behavior and ensure we are getting the right return on our investments. Ultimately, the Pricing team is responsible for rapidly developing and deploying solutions that will drive the customer experience and, ultimately, enhance our bottom line as an organization.
 
 
 
 Roles And Responsibilities
 
 
 
 <ul>
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 Independently develop Analytics solutions / predictive model for pricing and promotions e.g. promotions forecasting, price elasticity models, customer segmentation, discount optimization.
 </li>
 <li>
 Perform statistical analysis for hypothesis testing e.g. A/B testing to predict the impact of pricing changes on test skus/regions.
 </li>
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 Collaborate with the pricing strategy and insights team to conceptualize and develop the prototype of analytics solutions and partner with Enterprise Data Engineering / Data science teams to scale up and deploy the solutions for enabling optimized pricing decisions
 </li>
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 Involve in discussions with stakeholders and gather requirements showcasing the analysis, interpretations &amp; findings and scale the solutions to next level
 </li>
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 Bring in the thought process and independently involve in designing the approach, test and build the algorithm framework, and implement models
 </li>
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 Forecasting of demand drivers using Structural Time Series and Na&iuml;ve Bayes approach and also by analyzing the impact of micro-economics factors on category/region performance
 </li>
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 Build intelligent systems to capture and model the vast amount of behavior data to enrich the content understanding with behavioral information for promotional strategies
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 4 to 8 years of relevant experience as Sr. data scientist or pricing scientist in retail/ecom analytics in similar industry and business function.
 </li>
 <li>
 Masters/PhD in management science, data science, economics, mathematics from reputed institutes is a must.
 </li>
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 Should have strong fundamental understanding of price elasticity, price-demand curves, econometrics and optimizations techniques.
 </li>
 <li>
 Strong applied knowledge of machine learning covering the landscape of classification, regression and with in-depth interpretation of outcomes for pricing and promotions
 </li>
 <li>
 Advance level proficiency in python/R, PowerBI, Snowflake/SQL and cloud technologies
 </li>
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 Ability to effectively communicate and explain the analytical model approach and output with the business stakeholders
 </li>
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 Experience of developing a powerful storyline to provide meaningful insights for senior leadership consumption
 </li>
 <li>
 Applicants should have strong fundamental understanding and research experience in Data Wrangling, Statistical Analysis, Predictive Modeling using Machine Learning (Regression and Classification), Clusters Segmentation, Time Series Forecasting (ARIMA, SARIMAX) etc.
 
 
 </li>
 </ul>
 
 California Residents Click Below For Privacy Notice
 
 
 
 https://jobs.advanceautoparts.com/us/en/disclosures
 
 
 We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age national origin, religion, sexual orientation, gender identity, status as a veteran and basis of disability or any other federal, state or local protected class.
</div>

Pricing Scientist

Novartis India

<div>
 
 Summary
 
 
 
 We are seeking a talented and motivated Data Scientist to join our dynamic team. The ideal candidate will possess strong technical skills in machine learning, natural language processing (NLP), generative AI, graph neural networks, and topic modeling. You will also be adept at designing experiments to validate hypotheses and drive decision-making.
 
 
 
 About The Role
 
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Develop and deploy scalable machine learning models to address business challenges.
 </li>
 <li>
 Utilize NLP techniques to extract insights from unstructured text data.
 </li>
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 Implement graph neural networks to analyze relational data and uncover complex patterns.
 </li>
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 Conduct topic modeling to distill key themes from large datasets.
 </li>
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 Design, implement, and analyze experiments to inform data-driven decisions.
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 Collaborate with cross-functional teams to identify, define, and solve challenging problems.
 </li>
 <li>
 Communicate findings and recommendations to stakeholders in a clear and concise manner.
 </li>
 <li>
 Continuously stay updated with the latest advancements in data science, machine learning, and related fields.
 
 
 </li>
 </ul>
 
 Required Qualifications And Skills
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Statistics, Mathematics, or a related field.
 </li>
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 Proven experience in machine learning, NLP, and generative AI.
 </li>
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 Proficiency in graph neural networks and topic modeling.
 </li>
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 Skills in deep learning architecture and training neural networks
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 Strong programming skills in Python, R, or a similar language.
 </li>
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 Excellent analytical, problem-solving, and critical-thinking skills.
 </li>
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 Ability to communicate complex technical concepts to non-technical audiences.
 
 
 </li>
 </ul>
 
 Preferred Qualifications And Skills
 
 
 
 <ul>
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 Master's or Ph.D. in a relevant field
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 Bachelor&rsquo;s from reputed college with keen desire to learn
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 Experience in the design of experiments and statistical analysis.
 </li>
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 Knowledge of cloud platforms (e.g., AWS, Google Cloud, Azure).
 </li>
 <li>
 Strong project management and organizational skills.
 
 
 </li>
 </ul>
 
 Languages
 
 
 
 <ul>
 <li>
 English.
 
 
 </li>
 </ul>
 
 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&rsquo; 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&rsquo;ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards
</div>

US Pharmacopeia

<div>
 
 Description
 
 
 
 
 Who is USP?
 
 
 
 The U.S. Pharmacopeial Convention (USP) is an independent scientific organization that collaborates with the world&rsquo;s leading health and science experts to develop rigorous quality standards for medicines, dietary supplements, and food ingredients. At USP, we believe that scientific excellence is driven by a commitment to fairness, integrity, and global collaboration. This belief is embedded in our core value of Passion for Quality and is demonstrated through the contributions of more than 1,300 professionals across twenty global locations, working to strengthen the supply of safe, high-quality medicines worldwide.
 
 
 At USP, we value inclusive scientific collaboration and recognize that attracting diverse expertise strengthens our ability to develop trusted public health standards. We foster an organizational culture that supports equitable access to mentorship, professional development, and leadership opportunities. Our partnerships, standards, and research reflect our belief that ensuring broad participation in scientific leadership results in stronger, more impactful outcomes for global health.
 
 
 USP is proud to be an equal employment opportunity employer (EEOE) and is committed to ensuring fair, merit-based selection processes that enable the best scientific minds&mdash;regardless of background&mdash;to contribute to advancing public health solutions worldwide. We provide reasonable accommodations to individuals with disabilities and uphold policies that create an inclusive and collaborative work environment.
 
 
 
 Brief Job Overview
 
 
 
 This is a non-supervisory position engaged in the synthesis and delivery of USP Reference Standard candidate materials and API impurities through design and development of cost-effective synthetic routes. Should carry literature search using scientific databases and work on planning and execution of synthesis of target molecules in mg to multigram/KG scale. Should ensure the completion of assigned tasks as per timelines, prepare project reports, communicate with the team and update on the project progress. Should be adherent to quality management systems (QMS) and lab safety practices.
 
 
 
 How will YOU create impact here at USP?
 
 
 
 As part of our mission to advance scientific rigor and public health standards, you will play a vital role in increasing global access to high-quality medicines through public standards and related programs. USP prioritizes scientific integrity, regulatory excellence, and evidence-based decision-making to ensure health systems worldwide can rely on strong, tested, and globally relevant quality standards.
 
 
 Additionally, USP&rsquo;s People and Culture division, in partnership with the Equity Office, invests in leadership and workforce development to equip all employees with the skills to create high-performing, inclusive teams. This includes training in equitable management practices and tools to promote engaged, collaborative, and results-driven work environments.
 
 
 The [Scientist III/IV] has the following responsibilities:
 
 
 <ul>
 <li>
 Carry out literature search related to assigned projects using various scientific data base.
 </li>
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 Design synthetic routes for the target small molecules. Prepare project proposals with tentative cost estimates.
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 Perform synthesis &amp; isolation of pharmaceutical analytical impurities, reference standards and degradation impurity standards.
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 Procure key raw materials and reagents required for the project
 </li>
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 Perform the reactions in small as well as large scale in the lab for the synthesis of target compounds
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 Purification of compounds through various techniques such as crystallization, column chromatography, and advanced flash purification systems.
 </li>
 <li>
 Troubleshooting synthesis and purification issues independently
 </li>
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 Contributing effectively towards more challenging and complex projects through innovative methodologies
 </li>
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 Ensuring the availability of chemicals and equipment required for the projects and forward the purchase requisitions
 </li>
 <li>
 Interpretation of analytical data of synthesized compounds by IR, NMR, Mass Spectra, Elemental analysis etc.
 </li>
 <li>
 Produce quality materials as per customer requirement
 </li>
 <li>
 Packaging of synthesized compounds
 </li>
 <li>
 Plan, execute and complete the projects as per the timelines
 </li>
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 Document all experiments conducted as per QMS guidelines.
 </li>
 <li>
 Responsible for preparation of SOPs, Protocols, reports etc. as per the need
 </li>
 <li>
 Responsible for review the records and documents
 </li>
 <li>
 Responsible to ensure the calibrations of the equipment as per the schedule
 </li>
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 Periodic check of the assigned equipment to ensure its working condition
 </li>
 <li>
 Responsible for preparing, executing and completing IQ/OQ/PQ of new instruments as assigned
 </li>
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 Work on any other assigned tasks/ lab management activities.
 </li>
 <li>
 Conversant with lab safety norms and strictly follow them.
 </li>
 <li>
 Communicate within the team and cross functional teams
 </li>
 <li>
 Learn and practice Diversity, Equity, Inclusion &amp; Belonging culture.
 
 
 </li>
 </ul>
 
 Who is USP Looking For?
 
 
 
 The Successful Candidate Will Have a Demonstrated Understanding Of Our Mission, Commitment To Excellence Through Inclusive And Equitable Behaviors And Practices, Ability To Quickly Build Credibility With Stakeholders, Along With The Following Competencies And Experience
 
 
 <ul>
 <li>
 Scientist III/IV &ndash; Ph.D (Full Time) in Synthetic Organic Chemistry from a reputed group with minimum 0-7 years post-doctoral/industrial research experience in organic synthesis.
 
 
 </li>
 </ul>
 (Or)
 
 
 M Sc (Organic Chemistry) from a reputed university with minimum 6-10 years of industrial experience in Pharmaceutical Process R&amp;D or CRAMS or CRO set up.
 
 
 <ul>
 <li>
 Strong background in synthetic organic chemistry, Interpretation of spectral data of compounds based on IR, NMR, HPLC, Mass, Elemental analysis and other analysis.
 </li>
 <li>
 Ability to independently search literature, design, optimize and develop synthetic processes for any given target molecules/APIs.
 </li>
 <li>
 Hands on experience in process development of diverse chemical class of APIs/ NCEs on lab scale.
 </li>
 <li>
 Excellent troubleshooting skills in synthesis and purification of target compounds.
 </li>
 <li>
 Should possess good verbal and written communication skills.
 </li>
 <li>
 Should possess good organizational, communication, and interpersonal skills.
 
 
 </li>
 </ul>
 
 Additional Desired Preferences
 
 
 
 <ul>
 <li>
 Extensive knowledge on wide range of organic reactions, and hands on experience in handling various sensitive chemicals/reagents.
 </li>
 <li>
 Track record of patents/ publications in synthetic organic chemistry/ process development.
 </li>
 <li>
 Should have exposure to GMP/GLP environment and documentation procedures. Have good practical, documentation &amp; presentation skills.
 </li>
 <li>
 Attention to detail, stratregic thinking and problem-solving skills.
 </li>
 <li>
 Demonstrated ability to work both independently and as a member of a team with a passion for quality
 
 
 </li>
 </ul>
 Note: USP does not accept unsolicited resumes from 3rd party recruitment agencies and is not responsible for fees from recruiters or other agencies except under specific written agreement with USP.
 
 
 
 Job Category
 
 Contingent Staff
 
 
 
 Job Type
 
 Full-Time
</div>

Scientist III/Scientist IV, Synthetics (Contract)

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137 analytical data scientist jobs IN Hyderabad

Data Scientist

Data Scientist

Data Scientist - GO/JC/1384/2025

Pricing Scientist

Data Scientist

Scientist III/Scientist IV, Synthetics (Contract)

Scientist III/Scientist IV, Synthetics (Contract)