Senior Data Scientist
- Target Experience: 4–8 Years
- Position Overview: The Senior Data Scientist will clean up unstructured data landscapes and apply advanced statistical and machine learning models to solve business challenges. You will transform complex predictive models into clear operational improvements.
Core Responsibilities
- Model Engineering: Develop, evaluate, and tune predictive models, classification systems, and custom clustering models to optimize business workflows.
- Feature Engineering: Extract data features from massive, uncurated enterprise databases using deep statistical analysis and mathematical validation.
- A/B Testing Frameworks: Design, run, and evaluate robust A/B testing and statistical experiments to measure product upgrades and feature impacts.
- Executive Communication: Turn complex statistical trends and model mechanics into clear business insights for executive stakeholders.
Complete Technical Stack Requirements
- Core Languages: Python, R, Advanced SQL.
- Machine Learning Tools: Scikit-Learn, XGBoost, LightGBM, Statsmodels.
- Data Wrangling: Pandas, NumPy.
- Visualization Platforms: Tableau, Power BI, Plotly, Seaborn.
- Big Data Ecosystems: Apache Spark (PySpark), Hive, Databricks.
Work Location: Remote
