Data Scientist

Key Responsibilities:

1. Embrace and contribute to a culture grounded in humility, curiosity, and impact
2. Clean, process, and analyze data using tools such as Python, PySpark, and Databricks
3. Build and maintain predictive models and business intelligence dashboards
4. Collaborate cross-functionally to deliver insights that support profitable, customer-centric decisions
5. Work with large datasets to uncover actionable business and customer insights
6. Communicate findings clearly to stakeholders in both technical and non-technical terms

Qualifications:

Minimum Requirements:

1. 0–3 years of relevant experience in data analysis or related field
2. Master’s degree in a quantitative discipline (e.g., Statistics, Math, Computer Science, Engineering), or equivalent practical experience
3. Familiarity with statistical software and database querying languages
4. Candidates with 3 years of experience in building predective models.

Preferred Qualifications:

1. Ph.D. in a quantitative discipline
2. Hands-on experience using data science to drive customer or business outcomes
3. Strong programming proficiency in Python and libraries such as:
4. pandas, NumPy, scikit-learn, PySpark, XGBoost, lifelines, Matplotlib
5. 
    

Knowledge of core techniques:

1. Frequentist and Bayesian statistics
2. Forecasting, machine learning, NLP, causal inference, and optimization
3. Experience using version control systems (e.g., Git)
4. Familiarity with cloud-based data platforms and data storage best practices
5. Effective collaborator and communicator across both technical and business teams