Data Scientist
Must Have Technical/Functional Skills
Good understanding of machine learning including with extensive hands-on experience in model building (gradient boosting (XGBoost/LightGBM),
GLMs, time series, NLP etc.
Knowledge of data management and visualization techniques
Ability to do data analysis using Python
Expertise in statistical analysis, feature engineering, A/B testing techniques and predictive modeling
Good knowledge of Python Datascience stack: pandas, scikit-learn, MLflow (or similar), model evaluation rigor
Experience with SQL
Excellent communication skills and ability to work with partners: translating business problems into ML framing
Good understanding of GenAI
Roles & Responsibilities
Understand domain and data analytics requirements
Perform data preprocessing that involves data transformation as well as data cleaning.
Conduct data mining and collection procedures
Ensure data quality and integrity
Interpret and analyze data problems
Conceive, plan and prioritize data projects
Build analytic systems and predictive models
Increase the performance and accuracy of machine learning algorithms through fine-tuning and further
Visualize data and create reports
Experiment with new models and techniques
Conduct EDA and Explainability
Align data projects with organizational goals
Education: MS
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