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senior software engineer

data analyst

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data science -strategic analytics-assistant manager Jobs in Hyderabad

data science -strategic analytics-assistant manager

senior data scientist

PepsiCo

<div>
 
 Overview
 
 
 
 The Data Science Senior Analyst (Lead Data Scientist) is part of the Data Impact Benelux team. This team is responsible for supporting the Benelux commercial data strategy and ecosystem through developing and implementing advanced analytics solution and a comprehensive business intelligence roadmap. The team works closely with the marketing &amp; commercial ecosystem to ensure all commercial data are leveraged in the most optimal way.
 
 
 
 Responsibilities
 
 
 
 As the lead data scientist, this individual will be responsible for development and deployment of data science modeling frameworks using Statistical modeling (Machine Learning as appropriate) for sDNA and cDNA for BENLUX markets e.g., prediction of store potential, store segmentation, assortment optimization, asset deployment, audience profiling, etc.
 
 
 The position exists to unlock competitive advantage in go-to-market and execution through cutting edge data science, advanced analytics, and AI techniques, with a focus on OT, TT and AFH for BENLUX. The focus of this role is ensuring the successful implementation of data science solutions that deliver. The role holder will also leverage best practice to help to establish a reusable data science ecosystem.
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or advanced degree in a quantitative field for instance a Master&rsquo;s degree or PhD in data science or math (e.g., Computer Science, Mathematics, Statistics, Data Science) or equivalent experience
 </li>
 <li>
 7 years + of relevant advanced analytics experience in Marketing or Commercial in either Retail, or CPG industries. Other B2C domains can be considered
 </li>
 <li>
 Proven experience with medium to large size data science projects
 </li>
 <li>
 Advanced knowledge of key data science techniques:
 </li>
 <ul>
 <li>
 Combining data from multiple sources through APIs, Semantic Web, etc.
 </li>
 <li>
 Data preparation and feature engineering
 </li>
 <li>
 Supervised / Unsupervised learning
 </li>
 <li>
 Collaborative Filtering
 </li>
 <li>
 Location Analytics &amp; Intelligence
 </li>
 </ul>
 <li>
 Proficiency in programming languages such as Python, R, or SQL.
 </li>
 <li>
 Good to have experience with data processing frameworks (e.g., Hadoop, Spark)
 </li>
 <li>
 Good to have understanding of data engineering principles, data integration, and ETL processes.
 </li>
 <li>
 Excellent problem-solving skills and the ability to translate business needs into data-driven solutions.
 </li>
 <li>
 Strong communication and interpersonal skills, with the ability to effectively convey complex concepts to both technical and non-technical stakeholders.
 </li>
 </ul>
</div>

Sales Analyst

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>
 <li>
 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>
 <li>
 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>
 <li>
 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

<div>
 
 Data Scientist
 
 
 Python, SQL, ETL processes, Data Engineering Machine Learning, Power BI
 
 
 
 
 
 
 
 
 
 Please read Job description before Applying
 
 
 
 
 
 
 NOTE: If the skills/profile matches and interested, please reply to this email by attaching your latest updated CV and with below few details:
 
 
 Name:
 
 
 Contact Number:
 
 
 Email ID:
 
 
 Highest Qualification in: (Eg. B.Tech/B.E./M.Tech/MCA/M.Sc./MS/BCA/B.Sc./Etc.)
 
 
 Current Organization Name:
 
 
 
 Total IT Experience :6-8
 
 Years
 
 
 Location : Mumbai or Ahmedabad or Hyderabad
 
 
 Current CTC
 
 
 Expected CTC
 
 
 Notice period: Immediate
 
 
 Whether worked with TCS - Y/N
 
 
 
 
 <ul>
 <li>
 
 Data Science Tools:
 
 Proficiency in Python, SQL and relevant libraries (e.g., pandas).
 </li>
 <li>
 
 Data Engineering:
 
 Experience with ETL processes and working with large datasets.
 </li>
 <li>
 
 Machine Learning:
 
 Hands-on experience with supervised and unsupervised learning techniques.
 </li>
 <li>
 
 Visualization:
 
 Proficiency in tools like Power BI
 </li>
 <li>
 
 Problem Solving:
 
 Strong analytical and critical thinking skills.
 </li>
 <li>
 
 Communication:
 
 Ability to translate complex data insights into business-friendly language.
 </li>
 <li>
 Experience with big data technologies (e.g., Spark, Hadoop).
 </li>
 <li>
 Knowledge of telecom billing systems and CDR (Call Detail Records).
 </li>
 <li>
 Understanding of regulatory compliance and data privacy in telecom.
 </li>
 </ul>
 
 
</div>

<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>

Providence India

<div>
 We are seeking a highly skilled and experienced
 
 Data Scientist
 
 with deep expertise in
 
 statistical modeling, machine learning
 
 , and data-driven decision-making. The ideal candidate will lead complex analytical projects, design robust predictive models, and collaborate cross-functionally to drive strategic insights and innovation.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Apply advanced statistical techniques (e.g., hypothesis testing, Bayesian inference, time series analysis) to solve business problems.
 </li>
 <li>
 Design, build, and validate machine learning models for classification, regression, clustering, and recommendation systems.Interpret model results and communicate findings to stakeholders with clarity and impact.
 </li>
 <li>
 Collaborate with data engineers to ensure scalable data pipelines and model integration.
 </li>
 <li>
 Stay current with the latest research and trends in ML/AI and apply them to real-world problems.
 
 
 
 </li>
 </ul>
 
 Preferred Skills:
 
 Experience in causal inference, A/B testing, and experimental design.Familiarity with deep learning architectures and NLP techniques.Exposure to big data tools like Spark, Snowflake, or Databricks.Domain expertise in [e.g. healthcare] is a plus.
</div>

Senior Engineer- Data Analytics

Google

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
 </li>
 <li>
 8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years of experience with a Master's degree).
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
 </li>
 <li>
 Experience in product analytics within payments, e-commerce, or financial services.
 </li>
 <li>
 Ability to manage and organize work sprints for themselves and a team of analysts.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.
 
 
 As the key analyst on Forms of Payments (FOPs) and Business-to-Consumer (B2C) analytics, you will shape Payments products and solutions, helping our leaders make data-driven decisions. You will lead a critical part of Payments that focuses on acquiring the usage of nearly one billion users with FOPs across all Google Surfaces. You will drive analytics for FOPs launches globally, improving cards and non cards types, driving transaction performance, capturing the Quality and Value from FOPd users, as well as managing FOPs Risk and Compliance. You will also play an important role in our interactions on B2C analytics with Play and You Tube to improve Buyflows, Purchase Readiness, Conversion and UI on these critical Google products.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Shape the future of Google Payments by leveraging data and analytics to drive decisions, influence strategy, and create business impact across the organization.
 </li>
 <li>
 Identify and solve ambiguous problems, transforming data into insights that influence leadership decisions.
 </li>
 <li>
 Lead projects that align with the organizational strategy, deliver insights that help business decisions.
 </li>
 <li>
 Contribute to the development and alignment of team Objectives and Key Results (OKRs) and analytics strategy to ensure they support the product and business goals across the Payments organization.
 </li>
 <li>
 Collaborate cross-functionally with product, engineering, and operations teams to define key metrics and support data-driven decision-making.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Data Scientist, Product, Payments

PI Health Sciences Ltd

<div>
 
 About the job
 
 
 
 
 
 
 Senior Research Scientist : Synthesis R&amp;D
 
 
 
 
 
 
 
 Purpose of the Role:
 
 
 
 To contribute to early-stage drug discovery programs by designing and synthesizing novel small molecules that meet client objectives. The role supports hit-to-lead and lead optimization efforts through data-driven medicinal chemistry strategies, with the goal of delivering high-quality drug candidates in a collaborative CRO environment.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 Strategic &amp; Scientific:
 
 
 <ul>
 <li>
 Design and synthesize novel chemical entities (NCEs) guided by SAR and target profile.
 </li>
 <li>
 Contribute to lead identification and optimization in FTE or integrated drug discovery (IDD) projects.
 </li>
 <li>
 Collaborate with cross-functional teams (e.g., biology, ADME, computational chemistry) to advance candidate selection.
 </li>
 <li>
 Analyze biological and ADME data to refine compound design strategies.
 </li>
 </ul>
 
 
 Operational:
 
 
 <ul>
 <li>
 Plan and execute multistep organic syntheses with minimal supervision.
 </li>
 <li>
 Characterize compounds using NMR, LCMS, HPLC, and other analytical tools.
 </li>
 <li>
 Maintain detailed and accurate experimental records (ELN/lab notebooks).
 </li>
 <li>
 Deliver high-purity compounds on time to meet client/project goals.
 </li>
 </ul>
 
 
 Collaboration &amp; Communication:
 
 
 <ul>
 <li>
 Actively participate in team meetings, project reviews, and client discussions.
 </li>
 <li>
 Coordinate with analytical and biology teams for data turnaround and integration.
 </li>
 <li>
 Present experimental results and SAR insights to internal and external stakeholders.
 </li>
 </ul>
 
 
 Compliance &amp; Documentation:
 
 
 <ul>
 <li>
 Follow lab safety protocols and maintain GLP/GMP (where applicable).
 </li>
 <li>
 Ensure adherence to SOPs and maintain project documentation for IP protection and client reporting.
 </li>
 </ul>
 
 
 
 
 
 Qualification &amp; Experience:
 
 
 <ul>
 <li>
 M.Sc. with 3&ndash;8 years of relevant experience in a CRO environment.
 </li>
 <li>
 Proven expertise in synthetic organic chemistry and medicinal chemistry principles.
 </li>
 <li>
 Experience in client-facing discovery projects is strongly preferred.
 </li>
 </ul>
 
 
 
 
 
 Key Skills &amp; Competencies:
 
 
 <ul>
 <li>
 Deep understanding of SAR, pharmacophores, and drug-likeness criteria.
 </li>
 <li>
 Strong skills in synthetic planning, reaction optimization, and troubleshooting.
 </li>
 <li>
 Excellent communication and data presentation abilities.
 </li>
 <li>
 Ability to multitask and work effectively in a high-paced, collaborative environment.
 </li>
 </ul>
 
 
</div>

Research And Development Scientist

Explore 112+ Senior data scientist in Hyderabad this December. Find roles across top companies and apply now to boost your career.

112 senior data scientist jobs IN Hyderabad

Sales Analyst

Data Scientist

Data Scientist

Data Scientist

Senior Engineer- Data Analytics

Data Scientist, Product, Payments

Research And Development Scientist