Description

You will build and maintain data science solutions to drive business outcomes.

Responsibilities

• Lead model monitoring, tracking performance, detecting drift, and analyzing data quality issues.
• Conduct rigorous model validation, including performance testing and documentation against standards.
• Explore and aggregate large datasets independently to uncover performance-impacting anomalies.
• Write production-level code to solve complex problems using terabyte-scale data.
• Partner with Product and Engineering teams to identify trends and opportunities.

Required Skills

• Master’s degree in Mathematics, Statistics, Computer Science, Operational Research, or related field.
• Minimum of 2 years of experience in data science, engineering, or a related field.
• Experience developing data science pipelines and workflows in Python or R.
• Proficiency in writing and tuning SQL queries.
• Experience handling terabyte-sized datasets using Spark.
• Applied knowledge of various machine learning techniques and their parameters.
• Experience using ML libraries such as scikit-learn and mllib.
• Ability to write well-written, production-level code.
• Effective communication of complex analytical findings to non-technical audiences.

Key Skills

Education

Master's degree