Data Scientist

Skills

• Good understanding of machine learning including 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 Data science 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

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

Benefits

• Discretionary Annual Incentive
• Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans
• Family Support: Maternal & Parental Leaves
• Insurance Options: Auto & Home Insurance, Identity Theft Protection
• Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement
• Time Off: Vacation, Time Off, Sick Leave & Holidays
• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing

Pay

Salary Range: $120000 - $150000 a year

Qualifications

• Education: MS TCS
• Master of Science