- Key Responsibilities:Department Building: Establish and lead the Data Science department from the ground up developing strategies goals and operational frameworks.
- Leadership: Act as a people leader mentoring and managing a team of data scientists and analysts fostering a culture of continuous learning and innovation.
- Data Analysis: Utilize statistical programming languages (R Python Julia) and SQL to analyze data uncover insights and drive decisionmaking.
- Data Engineering: Leverage data engineering tools such as dbt Spark and Snowflake to manage and process large datasets effectively.
- Innovation: Continuously seek out new ideas and data sources applying a datadriven hypothesisbased approach to solve ambiguous problems.
- Collaboration: Work closely with crossfunctional teams including Product Engineering and Marketing to integrate data science solutions into the Benjamin platform.
- Reporting: Develop and maintain dashboards and reports to communicate insights and performance metrics to stakeholders.
- Qualifications
- Experience: 7 years of experience in data science with a proven track record of building and scaling data science teams ideally within a mobile app startup environment.
- Technical Skills: Proficiency in statistical programming languages (R Python Julia) SQL and data engineering tools (dbt Spark Snowflake BigQuery LookerStudio).
- Leadership: Strong leadership skills with a track record of managing and developing highperforming teams.
- Education: Advanced degree in Data Science Statistics Computer Science or a related field.
- ProblemSolving: Exceptional problemsolving abilities with a datadriven mindset.
- Communication: Excellent communication skills with the ability to convey complex technical concepts to nontechnical stakeholders.
- Ideal Candidate:
- Startup Enthusiast: Thrives in a fastpaced dynamic startup environment and is excited about. building a department from the ground up.
- Innovative Thinker: Continuously seeks out new ideas and approaches leveraging a datadriven hypothesisbased methodology.
- People Leader: Passionate about mentoring and developing teams fostering a culture of collaboration and innovation.
- Technical Expert: Highly skilled in data analysis and engineering tools with a robust understanding of best practices and emerging trends in data science.
data engineering tools (dbt, spark, snowflake, bigquery, lookerstudio),python,looker,statistical programming languages (r, python, julia),r,julia,sql,spark,snowflake,dbt