Data Scientist, Level 4

What you'll do

• Analyze data and deliver objective, actionable insights for business and product decisions.
• Develop and track product metrics, and create visuals, dashboards, and reports to communicate findings.
• Collaborate with product managers, engineers, marketers, and designers; use AI tools to develop scalable data solutions while maintaining accuracy and statistical integrity.

What they ask for

• Bachelor’s degree in a relevant technical field or equivalent years of practical work experience.
• 3+ years of post-Bachelor’s experience in quantitative analysis and data science; or a Master’s degree in a technical field plus 2+ years of post-graduate professional experience; or a Ph.D. in a relevant technical field.
• Expertise in data modeling and ability to design, implement, and track product performance metrics.
• Ability to communicate insights, collaborate cross-functionally, and drive projects to completion with minimal guidance.

Nice to have

• 3+ years of experience with SQL or similar big data querying languages, a programming language such as Python or R, and applied statistical techniques.
• Advanced degree in a related field; product-focused experience in social media, advertising, digital media, or mobile technology; or experience applying machine learning and statistical analysis to product solutions or research.

Pay

$157,000-$235,000 annually USD (base salary); $149,000-$223,000 annually USD (base salary); $133,000-$200,000 annually USD (base salary)

Tools

SQL, Python, R

AI focus

Use AI tools and evolving AI systems to develop scalable data solutions and improve data-driven decision-making and insights generation, maintaining accuracy and statistical integrity.