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data & applied scientist ii Jobs in Hyderabad

data & applied scientist ii

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data engineer, specialist

data applied scientist ii

Microsoft

<div>
 Microsoft&rsquo;s Cloud business is expanding rapidly, and the Cloud Supply Chain (CSCP) organization is responsible for enabling the hardware infrastructure that powers this growth &mdash; including AI. CSCP&rsquo;s vision is to empower customers to achieve more by delivering Cloud and AI capabilities at scale, and its mission is to deliver the world&rsquo;s computer with an industry-leading supply chain. In addition to traditional supply chain functions such as plan, source, make, and deliver, CSCP also manages supportability (spares), sustainability, and global decommissioning of datacenter assets.
 
 
 We deliver the core infrastructure and foundational technologies for more than 200 Microsoft online businesses &mdash; including Bing, Office 365, Xbox Live, OneDrive, and the Azure platform &mdash; serving over 1 billion customers in 90+ countries through 300+ datacenters worldwide.
 
 
 The Microsoft Capacity Planning (MCP) team within CSCP is tasked with planning all aspects of capacity across the Azure fleet. Our aspiration is to provide fully automated and highly optimized capacity planning systems. As a member of MCP, you will collaborate with engineers, program managers, and planners across CSCP, translating business problems into scalable solutions and driving them end-to-end from design to production. You will also contribute to strategic decisions for all capacity-impacting features.
 
 
 We are seeking a talented Data Scientist to develop and apply advanced methods in operations research, stochastic optimization, simulation, and large-scale mathematical programming, augmented by core computer science disciplines such as algorithms, data structures, and distributed computing. Your work will focus on capacity planning, inventory optimization, and scenario analysis, designing research-driven models to solve complex challenges in cloud supply chain planning.
 
 
 The impact of your work will be measured through improvements in Azure capacity fulfillment, platform efficiency, COGS reduction, and customer satisfaction. Our team partners closely with engineering, applying state-of-the-art machine learning and constrained optimization techniques to some of the most complex real-world problems at scale. If you are excited by cutting-edge methods and their application in a dynamic, global environment, you will thrive on our team as we deliver world-class innovation.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Develop optimization algorithms and production-grade libraries, conduct experiments to support planning and execution in Microsoft&rsquo;s Cloud Supply Chain business.
 </li>
 <li>
 Apply best practices in data science, software engineering, and operations research to deliver impactful solutions.
 </li>
 <li>
 Drive improvements to the design, architecture, and user experience of Microsoft first-party planning tools, enhancing the productivity of Cloud Supply Chain Planners.
 </li>
 <li>
 Collaborate with cross-functional teams to improve platform manageability and influence strategic decisions for capacity-impacting features.
 </li>
 <li>
 Contribute to team culture and apply engineering and data science best practices in daily work.
 </li>
 <li>
 Apply best practices in data science, software engineering, and operations research to deliver impactful solutions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Master&rsquo;s in Data Science, Computer Science or related field with specialization in Operation Research.
 </li>
 <li>
 3+ years of hands-on experience solving planning and optimization problems in supply chain domains such as capacity planning, inventory optimization and buffer planning.
 </li>
 <li>
 Strong computer science foundation with experience in designing and building production-grade algorithms, and systems.
 </li>
 <li>
 Azure Cloud Services development experience, or related.
 </li>
 <li>
 Proficiency in programming languages such as Python, R, Java, C#, etc., and experience with relational databases (Kusto, SQL ).
 </li>
 <li>
 Solid understanding of modern cloud architecture and technologies.
 </li>
 <li>
 A proven track record of collaborating across organizational boundaries and delivering great results.
 </li>
 <li>
 Demonstrated ability to think from first principles and translate complex business problems into scalable technical solutions.
 </li>
 <li>
 Comfortable working across the boundaries of data science, operations research, and software engineering.
 
 
 </li>
 </ul>
 
 Additional Or Preferred Qualifications (PQs)
 
 
 
 <ul>
 <li>
 Doctoral degree in Data Science, Computer Science, Operations Research, or a related field.
 </li>
 <li>
 Published research in leading operations research journals (e.g., INFORMS).
 </li>
 <li>
 Proven track record in building commercial-grade inventory optimization software.
 </li>
 <li>
 Experience conducting UX research to inform product and system design.
 </li>
 <li>
 Experience with globally distributed cloud systems, with emphasis on quality, scalability, and reliability.
 
 
 </li>
 </ul>
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>

Data & Applied Scientist II

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
 </li>
 <li>
 Collaborate with data engineers and ML engineers to understand data and models and leverage various advanced analytics capabilities
 </li>
 <li>
 Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards
 </li>
 <li>
 Use big data technologies to help process data and build scaled data pipelines (batch to real time)
 </li>
 <li>
 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>
 <li>
 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>
 <li>
 Data Science - Hands on experience and strong knowledge of building machine learning models - supervised and unsupervised models
 </li>
 <li>
 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>
 <li>
 Any Cloud - Experience in Databricks and ADF is desirable
 </li>
 <li>
 Familiarity with Spark, Hive, Pig is an added advantage
 </li>
 <li>
 Model deployment experience will be a plus
 </li>
 <li>
 Experience with version control systems like GitHub and CI/CD tools
 </li>
 <li>
 Experience in Exploratory data Analysis
 </li>
 <li>
 Knowledge of ML Ops / DevOps and deploying ML models is required
 </li>
 <li>
 Experience using MLFlow, Kubeflow etc. will be preferred
 </li>
 <li>
 Experience executing and contributing to ML OPS automation infrastructure is good to have
 </li>
 <li>
 Exceptional analytical and problem-solving skills
 </li>
 </ul>
</div>

Data Scientist

RSA America LLC

<div>
 
 
 Company Description
 
 
 
 RSA America LLC is a leading provider of cutting-edge retail technology tailored for independent grocers. Founded in 2014, the company helps grocers compete with larger chains by delivering innovative solutions that foster digital customer interactions and enhance retailer engagement. RSA&rsquo;s unified platform leverages AI to provide actionable insights, enabling grocers to analyze, target, and engage customers effectively. By offering personalized, customer-centric experiences, RSA empowers retailers to drive shopper engagement, adapt to market trends, and boost profits while addressing the unique needs of stores of all sizes.
 
 
 
 
 
 
 Role Description
 
 
 
 This is a full-time, on-site role based in Hyderabad for a Data Scientist. The Data Scientist will analyze complex datasets, develop predictive and descriptive models, and contribute to data-driven decision-making. Tasks include statistical analysis, data visualization, building machine learning models, and deriving insights to enhance customer engagement and optimize retail solutions. This role also involves close collaboration with cross-functional teams to address business challenges using advanced analytics.
 
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Proficiency in Data Science, Data Analysis, and Statistics
 </li>
 <li>
 Strong data warehousing skills&nbsp;
 </li>
 <li>
 Experience with Data Analytics and Data Visualization tools
 </li>
 <li>
 Strong problem-solving and critical analysis skills
 </li>
 <li>
 Proficiency in Python and SQL.
 </li>
 <li>
 Ability to interpret and communicate complex data insights to stakeholders
 </li>
 <li>
 Bachelor's or Master&rsquo;s degree in Data Science, Statistics, Computer Science, or related fields
 </li>
 <li>
 Retail industry experience and familiarity with AI/ML applications are a plus
 </li>
 </ul>
</div>

MetLife

<div>
 
 Requirements
 
 
 
 
 Description and Requirements
 
 
 
 
 GOSC- GG10- Data Scientist (IC)
 
 
 
 
 Position Title:
 
 
 
 Senior Data Scientist (IC)
 
 
 
 Function, Responsibility Level:
 
 
 
 
 Reports to (Responsibility Level):
 
 
 
 
 GG13 Director Data science or
 
 
 
 
 GG12 Lead Data Scientist
 
 
 
 
 Supervises:
 
 
 
 
 Location:
 
 
 
 Hyderabad/Noida
 
 
 
 Global Grade: 10
 
 
 
 
 Cost Center (85 series):
 
 
 
 ####
 
 
 
 Complexity:
 
 
 
 
 PID/s Load Mapping:
 
 
 
 
 Position Summary
 
 
 
 Continuing with the tradition of innovation, MetLife, as part of its Data and Analytics function, has established a Data and Analytics (DnA) center in India. The setup of DnA center is a key multi-year strategic initiative focused on scaling business solutions using AI, data science, data governance, data engineering, business intelligence, agile project management capabilities, enabling more cost-effective analytics operating model and increasing AI maturity across the MetLife global community.
 
 
 
 Role Value Proposition:
 
 
 
 We are looking for you: high performing data and analytics professional - driven by passion and purpose, to drive quality standards and support end-to-end development of actionable, high-impact AI solutions for MetLife&rsquo;s enterprise functions and lines of businesses across markets.
 
 
 This position requires hands-on experience of developing an end-to-end Machine Learning/AI solution that can be leveraged for maximum business impact through on prem /cloud in both real time and batch mode depending upon business requirements. The role would collaborate with multiple stakeholders under the guidance of Lead/Director Data scientists to develop robust, stable, and scalable advanced analytics/machine learning solutions leveraging new age methodologies/techniques. Superior problem-solving ability, curiosity, strong coding skills and attention to detail are the key success factors.
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Hands on development and implementation of AI/ generative AI models &amp; algorithms to solve complex problems and drive innovation across organization.
 </li>
 <li>
 Collaborate with Lead Data Scientist/AI product owner to translate given business problem into analytical use-cases with defined outcomes.
 </li>
 <li>
 Perform data exploration, machine learning models development &amp; active collaboration with cross functional teams
 </li>
 <li>
 Contribute to the implementation of AI solutions to deliver business impact with focus on value, success criteria alignment, scalability, and operationalization.
 </li>
 <li>
 Drive best practices throughout development process, efficient coding and publish learnings/feedback for continuous learning.
 </li>
 <li>
 Drive innovation within teams, by enhancing existing solutions and designing new ones.
 
 
 
 </li>
 </ul>
 
 Knowledge, Skills, And Abilities
 
 
 
 
 Education
 
 
 
 Bachelor&rsquo;s/master&rsquo;s degree in an information technology/computer science or relevant domain
 
 
 
 Experience
 
 
 
 
 Technology Skills
 
 
 
 <ul>
 <li>
 3-5 years of hands-on experience in Analytics, data science or similar function
 </li>
 <li>
 Strong hands-on proficiency in any of Data Science technologies i.e., Python, PySpark,
 
 
 
 </li>
 </ul>
 , R &amp; have experience in machine learning libraries &amp; frameworks such as
 
 
 TensorFlow, PyTorch, or Keras.
 
 
 <ul>
 <li>
 Strong hands-on expertise in traditional as well as modern statistical &amp; ML techniques like regression, support vector machines, Regularization, Boosting, Random Forests &amp; other ensemble methods.
 </li>
 <li>
 Good Understanding of NLP models using: Nltk, spacy, Word 2 Vec , BERT etc.
 </li>
 <li>
 Experience in technologies like Azure, AWS, and advanced analytics concepts like
 
 
 
 </li>
 </ul>
 Simulation, Deep Learning etc. are considered as a plus.
 
 
 <ul>
 <li>
 Ability to meet deadlines for product deliverables in a timely, proactive, and
 
 
 
 </li>
 </ul>
 entrepreneurial manner.
 
 
 
 General Management skills:
 
 
 
 <ul>
 <li>
 Analytical and problem-solving skills to ideate.
 </li>
 <li>
 Excellent written and verbal communication skills; ability to discuss technical issues with peers, business stakeholders and senior management.
 </li>
 <li>
 Strong conceptual and creative problem-solving skills; ability to learn new and complex concepts quickly.
 
 
 
 </li>
 </ul>
 
 Working Relationships
 
 
 
 
 Internal Contacts
 
 
 (And purpose of relationship):
 
 
 
 MetLife GTO Engineering, Digital Office and Global Data and analytics
 
 
 Business
 
 
 GOSC Leadership
 
 
 
 External Contacts
 
 
 
 (And purpose of relationship) &ndash; If Applicable
 
 
 Vendors
 
 
 Consultants
 
 
 
 About MetLife
 
 
 
 Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World&rsquo;s 25 Best Workplaces&trade;, MetLife, through its subsidiaries and affiliates, is one of the world&rsquo;s leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
 
 
 Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we&rsquo;re inspired to transform the next century in financial services. At MetLife, it&rsquo;s #AllTogetherPossible . Join us!
</div>

Data Scientist - I

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

ProPharma

<div>
 For the past 20 years, ProPharma has improved the health and wellness of patients by providing advice and expertise that empowers biotech, med device, and pharmaceutical organizations of all sizes to confidently advance scientific breakthroughs and introduce new therapies. ProPharma partners with its clients through an advise-build-operate model across the complete product lifecycle. With deep domain expertise in regulatory sciences, clinical research solutions, quality &amp; compliance, pharmacovigilance, medical information, and R&amp;D technology, ProPharma offers an end-to-end suite of fully customizable consulting solutions that de-risk and accelerate our partners&rsquo; most high-profile drug and device programs.
 
 
 
 Job Summary
 
 
 
 The Pharmacovigilance (PV) Scientist supports the activities in the Benefit Risk group by ensuring that day-to-day operational activities are completed. The PV Safety Scientist is expected to be professional and diligent and liaise with the director and management group members within the team on any issues, as well as coordinate the work with the senior PV Scientists. The PV Safety Scientist is also expected to lead by example and ensures quality standards are upheld within the company.
 
 
 
 Essential Functions
 
 
 
 <ul>
 <li>
 Authoring of Aggregate reports (PSURs/PBRERs, PADERs/Annual Reports/ ACO/ DSUR) for submission to local and other Health Authorities.
 </li>
 <li>
 Authoring of Risk Management Plans (RMPs) as a part of regular Pharmacovigilance activities.
 </li>
 <li>
 Authoring of Signal Management Reports.
 </li>
 <li>
 Performing literature search and validity check for the aggregate reports.
 </li>
 <li>
 Reconciliation of relevant process trackers.
 </li>
 <li>
 Extraction and validation of data (RSI, Sales, previous reports, RMP, signals).
 </li>
 <li>
 Generation of Line Listings (LL) from safety database
 </li>
 <li>
 </li>
 <li>
 Providing reliable support for high priority Ad-hoc activities.
 
 
 </li>
 </ul>
 
 Necessary Skills And Abilities.
 
 
 
 <ul>
 <li>
 Analytical and problem-solving skills.
 </li>
 <li>
 Sound organizational skills
 </li>
 <li>
 Able to work within a team in an open and professional manner
 </li>
 <li>
 Excellent attention to detail and focus on quality
 </li>
 <li>
 Understanding of ICH-GCP, FDA, EMA and other relevant Global regulations related to PV
 </li>
 <li>
 Demonstrable ability to analyze and quantify large volumes of data in a concise and scientific manner, in keeping with regulatory deadlines.
 </li>
 <li>
 Awareness of global culture and willingness to work in a matrix environment
 </li>
 <li>
 Knowledge in other pharmacovigilance processes, ability to author/update SOPs or WIs, to identify and author deviations/CAPAs."
 </li>
 <li>
 Ensuring that deliverables to the clients comply with the relevant regulatory requirements and are sent to the client within agreed timelines.
 </li>
 <li>
 Capability to make concise, accurate and relevant synopses of medical text and data, and the ability to write unambiguous medical text
 </li>
 <li>
 Computer proficiency, IT skills, expertise and an ability to work with web based applications, and familiarity with the Windows Operating system and the MS Office suite (Word/Excel/Power Point)
 
 
 </li>
 </ul>
 Educational requirements
 
 
 <ul>
 <li>
 Bachelor/master&rsquo;s degree in pharmacy, Nursing, Life Science, or other health-related field, or equivalent qualification/work experience
 
 
 </li>
 </ul>
 
 Experience Requirements
 
 
 
 <ul>
 <li>
 2+ years&rsquo; experience in Pharmacovigilance with a focus on medical writing and/or literature search and/or signal detection
 </li>
 <li>
 Experiences in contributing to the compilation of metrics and participating in discussions about quality internally and with Clients
 </li>
 <li>
 Experience in literature screening activities and/or experiences in authoring and reviewing aggregate reports
 
 
 </li>
 </ul>
 We celebrate our differences and strive to create a workplace where each person can be their authentic self. We are committed to diversity, equity, and inclusion. Employees are encouraged to unleash their innovative, collaborative, and entrepreneurial spirits. With a holistic approach as an Equal Opportunity Employer, we provide a safe space where all employees feel empowered to succeed.
 
 
 ***ProPharma Group does not accept unsolicited resumes from recruiters/third parties. Please, no phone calls or emails to anyone regarding this posting.***
</div>

Pharmacovigilance Safety Scientist

Explore 207+ Data applied scientist ii in Hyderabad this November. Find roles across top companies and apply now to boost your career.

207 data applied scientist ii jobs IN Hyderabad

Data & Applied Scientist II

Data Scientist

Data Scientist

Data Scientist - I

Data Scientist - GO/JC/1384/2025

Pharmacovigilance Safety Scientist

Pharmacovigilance Safety Scientist