Lead Data Scientist

Lead Data Scientist

Austin, TX-fully onsite in-person

Only USC

Role Summary : As the Lead Data scientist, you will be responsible for designing, building, and optimizing our data models and data infrastructure to enable and execute analysis-driven decision making and reporting. You will work closely with our data team and cross-functional stakeholders to deliver seamless data analytics to drive strategic decision-making, innovation, and enhance the overall data ecosystem. This role requires a strong technical background in SQL, Python, data modeling, and ETL processes, along with a deep understanding of analytics best practices.

Key Responsibilities

• Develop a deep analytic understanding of product (both qualitative and quantitative) to provide data-based analytics to deliver innovation and optimization across user acquisition, engagement, and profitability
• Collaborate with cross-functional business teams including marketing, product, and strategy to translate business needs into robust and actionable solutions Clean and analyze robust user datasets to identify trends, patterns, and insights using statistical methods and software tools that can power forecasting and decision making
• Conduct data profiling and data quality analysis and convey results clearly to help business understanding of problems and effects
• Identify and fill reporting gaps in existing data infrastructure as well as maintaining data documentation
• Develop strategies to capture and utilize untapped analysis and data sets
• Ensure data integrity, accuracy, and accessibility across various business functions.
• Implement and manage data governance best practices
• Work with cloud-based data warehouses (e.g., Snowflake, BigQuery, Redshift) and analytics tools (e.g., dbt, Looker, Tableau, Sigma) in addition to standing up a data science tool stack

Minimum Qualifications :

Preferred Qualifications :

Work Environment :