Job Description: Data Scientist
Location: Mumbai / Pune
Experience: 5-10 years

Role Summary
The Data Scientist is responsible for making statistically sound decisions about models and data.
This role focuses on problem formulation, model selection, evaluation, and interpretation, ensuring that models are valid, robust, and aligned with business objectives.

Key Responsibilities
Problem Framing & Modelling
Translate business problems into statistical or machine learning problems
Select appropriate modelling approaches and algorithms
Design features in collaboration with Data Engineers

Model Development & Evaluation
Train, tune, and compare models
Define and justify evaluation metrics and validation strategies
Perform error analysis and model diagnostics

Statistical Reasoning & Analysis
Analyse bias, variance, overfitting, and data leakage
Assess robustness, stability, and uncertainty of models
Reason about correlation vs causation where applicable

Communication & Decision Support




Interpret model results and trade-offs for technical and non-technical stakeholders
Recommend whether a model is fit for production or not
Clearly communicate uncertainty, assumptions, and limitations

Required Skills & Qualifications
Robust foundation in:
Probability and statistics
Linear algebra
Experience with:
Machine learning model training and evaluation
Experiment design and analysis
Proficiency in Python and common ML libraries
Ability to explain probabilistic outcomes clearly and precisely

Accountability & Success Criteria
Models are statistically valid and meet defined performance criteria
Evaluation methodology is sound and defensible
Modelling decisions are explainable and aligned with business goals

Explicit Non‑Responsibilities
Choosing model architectures or algorithms
Hyperparameter tuning and model selection
Statistical validation of modelling assumptions

📌 Senior Data Scientist_Pune (India)
🏢 Tata Consultancy Services
📍 India