Data Scientist

Job Summary

To turn data into actionable insights, the hybrid Data Scientist will design experiments, build predictive models, and communicate complex analyses to drive decisions across engineering, product, and business teams.

Key Responsibilities

• Design, build, and validate machine learning models to solve business problems such as forecasting and recommendation
• Conduct exploratory data analysis to uncover trends and actionable insights in large datasets
• Communicate findings clearly to both technical and non-technical stakeholders through reports and presentations

Required Qualifications

• 3+ years of experience in a data science, applied ML, or quantitative analytics role
• Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL
• Solid grounding in statistics and experiment design, including A/B testing methodology
• Experience building and evaluating machine learning models for real-world problems
• Familiarity with data visualization tools (Matplotlib, Seaborn, Tableau, or similar)