8 Statistical Modeling jobs in Hyderabad
Statistical Modeling Expert
Posted today
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About Danone Group:
Mission: ‘Bringing Health through Food to as Many people as Possible’
Danone is a global leader in food and beverages, focusing on Essential Dairy and Plant-based products, Waters, and Specialized Nutrition. Our mission is to bring health through food to as many people as possible by creating nutritious products, promoting healthy eating habits, and operating sustainably.
With nearly 90,000 employees and products available in over 120 markets, Danone generated €27.6 billion in sales in 2023. Our Renew Danone strategy aims to foster long-term value through innovation and community support.
Danone is committed to making a positive impact economically, socially, and environmentally. In 2020, we became the first listed company to adopt the ‘Société à Mission’ status, reflecting our vision for a sustainable future.
More information can be found at .
About Danone India:
Danone operates in India as Nutricia International Pvt. Ltd, focusing on nutrition with a range of products catering to infants, toddlers, pregnant mothers, as well as adults. The company features well-known brands such as Aptamil, Dexolac, and Protinex. Danone employs over 1,000 individuals across India and generates a turnover exceeding €150 million. The company's head office is located in Mumbai, with a manufacturing facility situated in Lalru, Punjab.
Danone India is a Great Place To Work® certified organization, which reflects our commitment to creating a workplace where people are empowered to contribute meaningfully, grow professionally, and feel a true sense of belonging.
More information can be found at
Job Summary:
Work on the project of transformation of Demand Planning at global level in the roadmap of the digitalization for the Supply Chain. Creating and developing the ML models for all Danone categories
Roles & Responsibilities:
- Be part of the design and development of the ML core models and the analytics behind them
- Understand and capture cross country needs
- Be able to build the common approach of ML scalable models for the demand planning teams of different countries
- Support with all the analytics needs for the adoption of the ML models
- Build outstanding best in class ML models for Demand Planning that are able to cope with more complex and less steady environments
- Set up KPI's to track ML and Statistical models performance
- Select and understand the best approach of automatization for the overall Demand process driven by Statistical and Machine Learning capabilities
- Ensures collaboration of all teams in order to guarantee scalability of the models
- Keeps a close control of the ML developments to ensure cost compliance
- Responsible of the Continuous Improvement of the ML models and create the strategy of ML vs Statistical approach
- Responsible for the region's continuous improvement of ML and Statistical models in order to improve business performance
- Create standard ways of measure and manage strategies to find and fix root causes in forecast bias/accuracy
- Develop capabilities and skills on Machine Learning understanding across the regions
- Build, maintain, fine tune and audit Statistical & ML models to guarantee adaptability to new business context providing service for all regions
- Assist regions in processes and tools to embrace Statistical and ML technology
- Shield key processes and know-how on Statistical and ML
- Ensures standardization between different countries
- Guarantee highest ML utilization
Job Specifications:
- Education: Mathematics/Physics/Engineering with a master’s in business/data analytics or proven track record on Data Science
- Proven track record of minimum 5 years as a data scientist
- Great analytical skills
- Coding capabilities in R and/or Phyton
- Relationship/ Network builder
- Change management
- Project management
- Experience with Continuous Improvement
Main Interfaces
- Cross country demand planning teams
- IS/IT project managers and developers
- Supply chain cross functions
Data Analysis Specialist
Posted today
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Job Description:
Role: Data Analyst- Sr. Associate
Experience: 5-12 Years
Skills: Data Analysis, DatawareHousing, Strong Sql, Python
Insurance Domain experience of minimum 3-4 years (Mandatory- reinsurance, actuaries. Good to have- annuities, liabilities)
- 7-9 years of experience as a Data Analyst, with at least 5 years supporting Finance within the insurance industry.
- Hands-on experience with Vertica/Teradata for querying, performance optimization, and large- scale data analysis.
- Advanced SQL skills: proficiency in Python is a strong plus.
- Proven ability to write detailed source-to-target mapping documents and collaborate with technical teams on data integration.
- Experience working in hybrid onshore-offshore team environments.
- Knowledge of data engineering principles: ETL/ELT, data lakes, and data warehousing.
- Deep understanding of data modeling concepts and experience working with relational and dimensional models.
- Strong communication skills with the ability to clearly explain technical concepts to non-technical audiences.
- A strong understanding of statistical concepts, probability and accounting standards, financial statements (balance sheet, income statement, cash flow statement), and financial ratios.
- Strong understanding of life insurance products and business processes across the policy lifecycle.
- Investment Principles: Knowledge of different asset classes, investment strategies, and financial markets.
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HR Data Analysis Manager

Posted 2 days ago
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+ Report to the Director Data Analytics and collaborate with the team to produce insights, perform exploratory data analysis for leadership requests and maintain data visualization tools delivering people and business metrics.
+ Design and develop compelling dashboards using advanced analytics, interactive dashboard design, and data storytelling techniques.
+ Deliver operational talent reports with data-driven narratives.
+ Engage with People team and business stakeholders to gather requirements and support scheduled/ad hoc reporting.
+ Develop, implement, and maintain dashboards and reports for key stakeholders (e.g., Executive Leadership, HR leaders, Business Partners).
+ Innovate to automate and streamline processes.
+ Responsible for data cleansing, validation, testing, and large-scale data analysis.
+ Handle sensitive human capital data with discretion and sound judgment.
+ Collaborate with project teams to ensure correct identification of data impacted by changes.
**Education:**
+ Bachelor's degree in engineering, Computer Science, Mathematics, or related technical field.
**Experience:**
+ 8+yrs of total experience with atleast 5yrs of relevant Experience in analytics roles working with large datasets.
+ Self-motivated, curious, independent, and eager to learn.
**Technical Skills:**
+ Analytics data modelling, storytelling, and visualization using tableau, Power BI, SQL, other advanced analytical tools
+ Exposure to R, Python is an added advantage.
+ Experience in Workday reporting, Viva GLINT, Visier, HR data systems.
+ Preprocessing structured/unstructured data.
+ Advanced MS Excel, PowerPivot, Power BI, Power Platform, DAX.
**Other Requirements:**
+ Ability to work in virtual teams across time zones.
+ Broad understanding of HR processes and metrics (e.g., Workforce Metrics, Recruitment, Compensation, Talent Management).
+ People management experience (a plus).
+ Knowledge of ERP, HR systems, and Business Intelligence tools.
+ Ability to handle stress and prioritize effectively with management support.
Geologist - Remote Data Analysis
Posted 9 days ago
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Responsibilities:
- Analyze geological data from various sources, including remote sensing, seismic, and well logs.
- Develop and interpret geological models to identify potential mineral and hydrocarbon resources.
- Utilize GIS and geological software for data visualization, mapping, and analysis.
- Assess geological hazards and risks for exploration and development projects.
- Collaborate with exploration teams to plan field operations and data acquisition strategies.
- Prepare detailed technical reports and present findings to management and stakeholders.
- Stay abreast of advancements in geological technologies and methodologies.
- Contribute to the strategic planning and prioritization of exploration targets.
- Ensure data integrity and compliance with industry standards.
- Mentor junior geologists in data analysis techniques.
- Master's or Ph.D. in Geology, Earth Science, or a related field.
- Minimum of 7 years of experience in geological data analysis, preferably within the mining or exploration industry.
- Expertise in geological modeling software (e.g., Leapfrog, Petrel), GIS (e.g., ArcGIS, QGIS), and data analysis tools (e.g., Python, R).
- Strong understanding of remote sensing principles and interpretation of satellite imagery.
- Proven ability to interpret complex geological datasets and derive actionable insights.
- Excellent written and verbal communication skills.
- Demonstrated ability to work independently and manage projects effectively in a remote setting.
- Strong analytical and critical thinking skills.
Freelance Statistical Researcher – Demographic & Population Modeling
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Freelance Opportunity: Statistician – Demographic & Synthetic Population Modeling (Remote | ₹50,000/month)
Duration: 2-Month Contract (Renewable)
Compensation: ₹0,000/month (net, based on deliverables)
We are seeking a highly qualified freelance statistician to explore and analyze publicly available demographic datasets—including respondent-level microdata where available—and translate them into actionable statistical insights. The ultimate goal is to develop frameworks and schemas for generating synthetic populations of various Indian states.
This project is ideal for a candidate passionate about data exploration, sampling theory, and synthetic data generation for policy, market, or simulation purposes.
- Data Exploration & Cleaning
- Locate, access, and curate publicly available demographic datasets (census, NFHS, WVS, ASER, NSSO, etc.).
- Conduct thorough quality checks and handle missing or inconsistent data.
- Statistical Analysis & Modeling
- Perform distribution analysis, parameter estimation, and relationship mapping between demographic variables.
- Apply sampling techniques to design representative synthetic populations.
- Identify key demographic and behavioral parameters that inform population modeling.
- Schema & Synthetic Population Development
- Build statistical frameworks and schemas to simulate respondent-level data for Indian states.
- Develop replicable workflows and documentation for ongoing data updates.
- Reporting & Communication
- Present findings in clear, visualized formats (tables, charts, dashboards).
- Recommend refinements to improve the representativeness and robustness of the synthetic population models.
- Education: Master’s degree or higher in Statistics, Econometrics, Data Science, or Quantitative Social Sciences from a premier institute (ISI, IITs, IISc, Delhi School of Economics, etc.).
- Core Expertise:
- Advanced understanding of sampling theory and experimental design.
- Strong proficiency in statistical programming (R, Python, or Stata).
- Knowledge of Bayesian inference and synthetic data generation techniques is a plus.
- Experience:
- Prior work with large demographic or respondent-level datasets.
- Track record of producing actionable statistical insights.
- Distribution and parameter analysis
- Survey sampling & weighting
- Regression and multivariate modeling
- Data wrangling and cleaning
- Reproducible workflow creation (scripts, notebooks)
- Clear presentation of statistical findings
- Fixed monthly fee of ₹50,00 NR .
- Flexible, output-oriented schedule.
- Initial engagement for 3 months with potential for extension based on performance.
Principal Geologist - Remote Sensing & Data Analysis
Posted 15 days ago
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Senior Geologist - Remote Sensing & Data Analysis
Posted 15 days ago
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Responsibilities:
- Geospatial Data Interpretation: Analyze satellite imagery (e.g., Landsat, Sentinel, ASTER) and aerial data for geological feature identification, mineral mapping, and alteration zone detection.
- Data Processing and Integration: Utilize GIS and remote sensing software (e.g., ENVI, ArcGIS, ERDAS Imagine) to process, analyze, and integrate diverse geological and geophysical datasets.
- Prospect Generation: Develop and refine methodologies for identifying high-potential exploration targets based on remote sensing and geological data integration.
- Model Development: Contribute to the development and validation of geological and mineral deposit models informed by remote sensing data.
- Technical Reporting: Prepare detailed technical reports and presentations summarizing findings, methodologies, and recommendations for exploration strategies.
- Collaboration: Work closely with field geologists, geophysicists, and data scientists in a collaborative remote environment.
- Research and Development: Stay abreast of the latest advancements in remote sensing technology and geological data analysis techniques.
Qualifications:
- Education: Master's or Ph.D. in Geology, Earth Sciences, or a related field with a strong focus on remote sensing and GIS.
- Experience: Minimum of 8 years of relevant professional experience in geological exploration, with a significant emphasis on remote sensing data application.
- Software Proficiency: Advanced skills in GIS software (ArcGIS, QGIS) and remote sensing software (ENVI, ERDAS Imagine, Google Earth Engine). Experience with programming languages like Python or R for data analysis is a plus.
- Geological Knowledge: Strong understanding of structural geology, mineralogy, petrology, and various mineral deposit types.
- Analytical Skills: Exceptional analytical and critical thinking skills with the ability to interpret complex geospatial and geological data.
- Remote Work Aptitude: Demonstrated ability to work independently and productively in a fully remote setting, with excellent time management and communication skills.
This is a fully remote opportunity, offering flexibility and the chance to contribute to significant exploration projects without geographical constraints. If you are a seasoned geologist passionate about leveraging cutting-edge remote sensing technologies to unlock Earth's resources, we invite you to apply.
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Sr Associate HR Data Analysis (Visier Admin)

Posted 2 days ago
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Amgen harnesses the best of biology and technology to fight the world's toughest diseases, and make people's lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what's known today.
**ABOUT THE ROLE**
**Role Description:**
Amgen is seeking a Sr Associate HR Data Analysis (Visier Admin). The Sr Associate HR Data Analysis (Visier Admin) will report to the Associate Director HR Technology.
The successful incumbent will have previous Visier reporting tool Admin experience.
**Roles & Responsibilities:**
+ Hands on experience supporting Visier
+ Previous experience with Vee
+ Administrative tasks associated with Visier such as role assignments and creating roles
+ Visier Security configuration, data integration, and data exports
+ Ability to analyze, troubleshoot and resolve Visier data issues
+ Must have previous experience handling large datasets and sensitive HR data
**Basic Qualifications and Experience:**
+ 5 years minimum experience in human resources with hands on experience with Visier
+ Master's degree, OR
+ Bachelor's degree and 5 years of HR IS experience
**Functional Skills:**
**Must-Have Skills:**
+ Strong working knowledge of Visier
+ 5+ years' experience in human resources and corporate service center supporting Workday
**Soft Skills:**
+ Excellent analytical and troubleshooting skills
+ Strong quantitative, analytical (technical and business), problem solving skills, and attention to detail
+ Strong verbal, written communication and presentation skills
+ Ability to work effectively with global, virtual teams
+ Strong technical acumen, logic, judgement and decision-making
+ Strong initiative and desire to learn and grow
+ Ability to manage multiple priorities successfully
+ Exemplary adherence to ethics, data privacy and compliance policies
**EQUAL OPPORTUNITY STATEMENT**
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.