- 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 decision-making.
- 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 data-driven, hypothesis-based approach to solve ambiguous problems.
- Collaboration: Work closely with cross-functional 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 high-performing teams.
- Education: Advanced degree in Data Science, Statistics, Computer Science, or a related field.
- Problem-Solving: Exceptional problem-solving abilities with a data-driven mindset.
- Communication: Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
- Ideal Candidate:
- Startup Enthusiast: Thrives in a fast-paced, 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 data-driven, hypothesis-based 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.
Skills: data engineering tools (dbt, spark, snowflake, bigquery, lookerstudio),python,looker,statistical programming languages (r, python, julia),r,julia,sql,spark,snowflake,dbt