Data Scientist - Time Series Forecasting

Full Timemid

Hyderabad, Telangana, INPosted 2 days ago

Role Overview

talentgen advisory LLP is hiring a mid-level Data Scientist - Time Series Forecasting. This is a full-time role in Hyderabad. Part of talentgen advisory LLP's Devops hiring, posted 2 days ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.

Salary Context

Salary is not disclosed in this posting. Market median for Mid-level Devops roles is $115k-$162k (based on 37 comparable listings). Many employers share specifics during the interview process or after an initial screen.

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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 dataYou'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 (ref:hirist.tech) 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 dataYou'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 (ref:hirist.tech)

About talentgen advisory LLP

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Frequently Asked Questions

How do I apply for the Data Scientist - Time Series Forecasting position at talentgen advisory LLP?

Use the Apply button above to submit your application directly to talentgen advisory LLP. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Where is the Data Scientist - Time Series Forecasting position at talentgen advisory LLP located?

This position is based in Hyderabad. talentgen advisory LLP has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.

What does a Data Scientist - Time Series Forecasting at talentgen advisory LLP earn?

talentgen advisory LLP has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the Data Scientist - Time Series Forecasting role at talentgen advisory LLP posted?

This role was posted on June 30, 2026 (2 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.

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