Data Scientist

Role Overview

OpusClip is looking for a product-oriented Data Scientist to help build trusted metrics, improve data quality, and turn complex product and customer data into clear business decisions.

What You Will Do

You will own critical definitions across feature adoption, weekly active usage, credit consumption, user segmentation, retention, and lifetime value.

Why It Might Be a Fit

This is a hands-on role for someone who is equally comfortable writing SQL, investigating unexpected data, defining metrics with stakeholders, and communicating a clear recommendation.

Requirements

• Typically 3+ years of experience in data science, product analytics, decision science, or a closely related field—or equivalent experience owning work at this level.
• Advanced SQL skills, including complex joins, window functions, event-level analysis, cohort analysis, and query debugging.
• Strong Python skills for analysis, automation, validation, and statistical work.
• Experience analyzing product usage, feature adoption, funnels, retention, segmentation, or monetization.
• Experience defining and governing metrics, rather than only using existing definitions.
• Strong data-validation instincts, including checking joins, duplication, nulls, freshness, source consistency, and tracking changes.
• Experience working with event data from Mixpanel, or a similar product analytics platform.
• Experience building or maintaining dashboards using tools such as Superset, Looker, Tableau, or Power BI.
• Working knowledge of experimentation, statistical inference, and the limits of causal conclusions.
• Strong ownership and the ability to make progress when requirements are ambiguous.
• Clear communication skills and experience partnering with both technical and non-technical stakeholders.

Benefits

• Dental insurance
• Vision insurance
• Health insurance
• 401(k) or retirement plan
• Paid holidays
• Vacation time
• Flexible work arrangements
• Professional development opportunities