Senior Data Scientist

4 weeks ago

Bengaluru, Karnataka, India Tredence Inc. Full time
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.

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).

Preferred Qualifications:

- Master's or PhD in Computer Science, Statistics, Mathematics, Economics, Operations Research, or a related field.
- Experience in retail, e-commerce, manufacturing, or logistics is a strong plus.
- Exposure to optimization libraries (e.g., PuLP, OR-Tools, Gurobi) is a bonus.
- Experience deploying models using MLOps tools or platforms is a plus.

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