Notability · 1 year ago
Data Scientist
San Francisco, CA
Full-time
Hybrid
Mid Level
$150K/yr - $205K/yr
4+ years expGinger Labs develops productivity software and is seeking a Marketing Data Scientist to enhance their marketing strategies through data-driven insights. The role involves analyzing marketing performance, developing predictive models, and collaborating with both the Marketing and Product teams to optimize user acquisition and retention.
Enterprise SoftwareSoftwareProductivity Tools
Responsibilities
Analyze Marketing Campaigns: Measure marketing performance across paid, organic, referral, and in-app campaigns to optimize ROI and user acquisition efficiency
Develop Marketing Attribution Models: Build and refine multi-touch attribution models to track user journeys and assess the effectiveness of various marketing channels
Funnel & Retention Analysis: Conduct funnel and cohort analyses to identify user drop-off points and recommend data-driven improvements to increase retention and conversion rates
User Segmentation & Personalization: Identify high-value user segments and work with the marketing team to optimize messaging, targeting, and personalization strategies
Predictive Modeling: Develop machine learning models for churn prediction, user lifetime value (LTV), engagement likelihood, and conversion forecasting
Marketing Forecasting: Build forecasting models to predict trends in acquisition, retention, and revenue to inform budget allocation and strategy
A/B Testing & Experimentation: Design and analyze A/B tests for ad creatives, landing pages, and other marketing initiatives
Work Closely with Marketing & Product Teams: Act as the primary data science partner for the Marketing team, while also collaborating with Product and Growth teams to align marketing efforts with app evolution
Gather & Integrate Data Across Sources: Work with internal and external data sources to build comprehensive datasets for analysis
Ensure Data Quality & Accessibility: Partner with data engineering to ensure clean, reliable, and well-instrumented data pipelines that support marketing and product analytics
Data Storytelling & Reporting: Create dashboards, automated reports, and executive presentations to communicate key insights and recommendations to marketing leadership
Qualification
Required
4+ years of experience in Marketing Data Science, Growth Analytics, or Marketing Analytics, with a strong focus on mobile app analytics
Strong knowledge of marketing analytics tools
Deep understanding of marketing metrics
Experience designing and analyzing A/B tests to guide marketing and product decisions
Strong data storytelling skills – ability to translate complex analyses into actionable insights for non-technical stakeholders
A proactive, self-starter attitude with strong organizational skills, attention to detail, and ability to juggle multiple priorities in a less structured environment
Benefits
Competitive compensation in the form of base salary, bonuses and profit sharing
Equity Awards in the form of Stock Options
Comprehensive healthcare fully covered for you and your family including medical, dental, and vision
Flexible work and vacation schedules
401k with matching contributions
Matching gifts to nonprofits
Public transit reimbursement
Home workstation reimbursement
ISP reimbursement
Monthly phone bill reimbursement
Company
Notability
We build simple, powerful tools that help people work better, smarter.
51-200 employees
Funding
Current Stage
Growth StageLeadership Team
Garrett Mitchell
Chief Technology Officer
Ruth Mohanram
Chief Financial Officer
Recent News
2026-03-24
2026-01-14
Company data provided by crunchbase