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Data Scientist - Time Series Forecasting

TalentGen Advisory LLP
5 - 8 Years
Hyderabad

Posted on: 21/05/2026

Job Description

Job Description :


We expect :


- MS or PhD in Computer Science / Statistics / Mathematics / Artificial Intelligence / Physics or related technical discipline


- At least 5 years of experience in a statistical and/or data science role


- Knowledge of machine learning, statistics, simulation, optimization or related fields


- Experience in Time -Series forecasting


- Fluency in applying Data Science methods (including ML) while solving business optimization problems


- Fluent ability to program with Python (background in languages like R, MATLAB, Scala is a plus)


- Strong software engineering skills (including unit testing, OOP)


- Thorough knowledge of the NumFOCUS stack: pandas, scikit-learn, Matplotlib, SciPy


- Experience with working with large data sets through Spark and RDBMs


- Experience with versioning systems (e.g. Git)


- Knowledge of basic DevOps tools and methods such as Docker, Kubernetes, CI/CD pipelines


- Experience in deploying to production and ability to plan a product including broader technical landscape (ability to design and deliver product following modular approach)


- Experience working in a start-up environment or organizations with the agile culture


- Professional attitude and service orientation


- Team player


- Ability to work autonomously to deliver complex projects


- Fluent English as you will communicate in English almost all the time


- Experience with Azure stack would be a plus


- Experience with building and validating statistical models (Bayesian regression, linear/ridge/lasso, tree-based models, clustering) to address business problems


- Experience with communicating technical and analytical findings to business stakeholders


- Analyst mindset to brew insight from the data


You'll stand out if you have :


- Experience with FMCG/CPG/retail sector


- Experience with working with large data sets through Spark and RDBMs


- Knowledge of basic DevOps tools and methods such as Docker, Kubernetes, CI/CD pipelines


- Experience in deploying to production and ability to plan a product including broader technical landscape (ability to design and deliver product following modular approach)


- Experience working in a start-up environment or organizations with the agile culture


- Ability to work autonomously to deliver complex projects


- Experience with Azure stack would be a plus


- Experience in MMMs


- Experience in Promotions


- Experience in using mixed integer optimisation

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