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 ForecastingPrice OptimizationInventory Optimization / Supply Chain AnalyticsStrong 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)