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Senior Data Scientist - Python / Spark

Senior Data Scientist - Python / Spark

Nazztec Private LimitedPune
24 days ago
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).
  • (ref : hirist.tech)

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