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Senior Data Scientist - Python/Spark

Nazztec Private Limited
Multiple Locations
5 - 13 Years
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4.3white-divider2+ Reviews

Posted on: 15/09/2025

Job Description

Job Title : Data Scientist - Classical Machine Learning

Work Base Location : Bangalore / Pune / Chennai / Kolkata / Gurugram (Hybrid Mode)

Experience Range (Min- Max years) : 5 to 13 years

Notice Period : Immediate Joiner/Up to 15 days

Work Shift Timings : Standard Business Hours (Hybrid)

Job Description :


We are looking for a Senior Data Scientist who is passionate about solving complex business problems using data. The ideal candidate will have strong hands-on experience in Python, SQL, and advanced machine learning algorithms, along with domain expertise in forecasting, pricing optimization, or inventory planning. You will work closely with cross-functional teams including product, engineering, and business stakeholders to drive data-driven strategies.
Classical Ml - Linear reg, random forest, time series, decision trees, xg boost, logistic reg

Key Responsibilities :


- Design, build, and deploy predictive and optimization models for use cases such as demand forecasting, dynamic pricing, or inventory optimization.


- Translate business problems into analytical frameworks and provide actionable insights.
- Build and maintain scalable data pipelines and model workflows using Python and SQL.


- Collaborate with data engineers to ensure model integration into production systems.

- Present findings and recommendations to leadership using data visualizations and storytelling.

- Stay current with the latest techniques in machine learning, statistics, and operations

research.

- Lead and mentor junior data scientists and analysts when required.

Required Skills and Experience :


- 5+ years of experience in a Data Science or Analytics role with a strong business impact.

- Strong programming skills in Python (pandas, scikit-learn, statsmodels, etc.).

- Proficiency in SQL for data extraction, transformation, and manipulation.


- Deep understanding of machine learning algorithms (regression, classification, clustering, time series forecasting).

Experience with one or more of the following domains :

- Demand Forecasting


- Price Optimization

- Inventory Optimization / Supply Chain Analytics

- Strong problem-solving and quantitative skills.

- Experience working with large datasets and distributed computing tools (e.g., Spark, Hadoop)

is a plus.

- Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn).


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