Key Responsibilities
- Work with business and product teams to understand problems and define measurable goals.
- Build and validate machine learning models for forecasting, classification, recommendations, or NLP.
- Design and analyze
A/B tests and experiments
.
- Apply statistical analysis and hypothesis testing to support business decisions.
- Develop data pipelines and perform data preparation and feature engineering.
- Work with Data Engineers and ML Engineers to take models into production.
- Monitor model performance and data quality.
- Present insights and recommendations to technical and business stakeholders.
- Mentor junior Data Scientists and contribute to technical reviews.
Required Skills
- 5+ years of experience in
Data Science / Applied Data Science
.
- Strong hands-on experience with
Python and SQL
.
- Valuable knowledge of
Statistics, Probability, and Hypothesis Testing
.
- Strong experience in
Machine Learning
.
- Experience with
A/B Testing, Experimentation, or Causal Inference
.
- Experience with
Data Pipelines and ETL
.
- Understanding of production ML and model monitoring.
- Strong analytical and communication skills.
📌 Data Scientist (Pune Division)
🏢 TekPillar®
📍 Pune Division
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