Marketing Data Scientist

Location: Remote

Contract Duration: 12 Months

Job Overview: Marketing Data Scientist

Opportunity to work with the latest technology and work in a highly visible, high impact space.

Potential extension up to 18 months.

The Marketing Data Science team partners with product, marketing, and sales to turn data into decisions—designing experiments, building metrics and models, and delivering insights that drive adoption and revenue. In this role, you will join a team of data scientists focused on driving adoption for Rovo, AI product. You will collaborate with your teammates to identify opportunities to engage users across a variety of marketing channels and product surfaces as we work to build awareness and engagement.

Analytics & Decision Support

• Drive analytical work for the Adoption initiative led by Stephanie Grice, Head of Community & Learning area:
• Translate product and GTM questions into clear analytical plans.
• Deep-dive into user behavior, funnel conversion, retention, and monetization.
• Own definition, monitoring, and iteration of core metrics for this area:
• Examples: activation, conversion, WAU/MAU, churn.

Modeling & Experimentation

• Own the design and analysis of key experiments for Rovo Adoption.
• Run power analyses, define success metrics and guardrails, ensure statistical rigor.
• Provide clear experiment readouts and recommendations.
• Where appropriate, build and validate models such as:
• Propensity / churn models aligned with GTM Data Science’s roadmap.
• Cohort / segmentation approaches to support targeted campaigns.

Data Products, Dashboards & Documentation

• Lead the team to create and maintain reusable SQL and Python assets (queries, notebooks) for the team.
• Build or refine dashboards in Tableau for:
• Executive views (high-level KPIs).
• Operational views (e.g., funnel drop-offs, experiment performance, cohort tracking)
• Document metric definitions, data sources, and analytical frameworks so they can be maintained by FTEs after the engagement.

Stakeholder Partnership

• Act as a data partner for Head of Community & Learning.
• Communicate insights in a way that supports decision-making and prioritization:
• Clear written summaries (Confluence) and live presentations.
• Proactively identify opportunities for impact (tests to run, segments to target, friction to remove).

Requirements:

• 8+ years total in data science / product analytics.
• Relevant domains: B2B SaaS
• Prior roles working with marketing and engineering partners.

Technical Fit

• Strong in:
• SQL (complex analytical queries on large datasets).
• Experiment design and statistical analysis.
• Experience with:
• Databricks
• Tableau
• Python/R for analysis and modeling.
• Event-based product data.

Years of experience required: 8+ years total in data science/product analytics

Top 3 tech skills: SQL (complex analytical queries on large datasets). Experiment design and statistical analysis.

Top 3 soft skills: Communication. Stakeholder management.