Data Scientist III

Data Scientist III

The main function of a data scientist is to coordinate changes to computer databases, test, and implement the database applying knowledge of database management systems. A typical database analyst/programmer is responsible for planning, coordinating, and implementing security measures to safeguard the computer database.

Job Responsibilities

• Collaborate with growth marketers, program managers, and our central analytics team to gather data and metrics requirements.
• Design, build, and maintain automated reporting, dashboards, and ongoing analysis to enable data driven decisions across our team and with partner teams. (e.g., using Tableau, etc.)
• Build and optimize ETL processes to run marketing campaigns at scale and automate the campaign reporting
• Write high-quality SQL queries to retrieve and analyze data from database tables
• Partner with our analytics and cross-functional stakeholders to identify and rectify data integrity / accuracy issues across our reporting, data infrastructure, dashboards

Skills

• BA or BS degree
• 5+ years of experience with SQL (Oracle, Vertica, Hive, MySQL, etc.)
• Experience building/operating distributed systems of data extraction, ingestion, and processing of large data sets from multiple sources.
• Experience in ETL design, implementation, and maintenance.
• Experience with Business Intelligence tools (such as Tableau, MicroStrategy, etc.) and report automation
• Experience using Python and R
• Self-starter with flexibility to work in a fast-changing environment and ambiguous situations
• Experience working in organizations with cross-functional teams
• Experience working independently and a track record of taking initiative
• Interpersonal skills including written and oral communication skills.

Education/Experience

• BA or BS degree in STEM field

Must-have HARD skills

• SQL
• Can build pipelines- guide team on best practices
• Show leadership and work independently

Good to have skills

• Can self-manage projects- set expectations

Disqualifiers

• Avoid small scale pipeline experience, folks must be comfortable to work in very large data number sets so it is best when they come from big companies

Interviews

• 3 max, screen, technical, interview with a growth marketer/stakeholder