Job Title: Data Scientist
Location: San Francisco, CA
Job Type: Full Time
Job Overview:
Ginger 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.
- Productivity Tools Software
- Growth Opportunities
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Analyze Marketing Campaigns: Measure marketing performance across paid, organic, referral, and in-app campaigns to optimize ROI and user acquisition efficiency.
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Develop Marketing Attribution Models: Build and refine multi-touch attribution models to track user journeys and assess the effectiveness of various marketing channels.
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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.
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User Segmentation & Personalization: Identify high-value user segments and work with the marketing team to optimize messaging, targeting, and personalization strategies.
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Predictive Modeling: Develop machine learning models for churn prediction, user lifetime value (LTV), engagement likelihood, and conversion forecasting.
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Marketing Forecasting: Build forecasting models to predict trends in acquisition, retention, and revenue to inform budget allocation and strategy.
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A/B Testing & Experimentation: Design and analyze A/B tests for ad creatives, landing pages, and other marketing initiatives.
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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.
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Gather & Integrate Data Across Sources: Work with internal and external data sources to build comprehensive datasets for analysis.
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Ensure Data Quality & Accessibility: Partner with data engineering to ensure clean, reliable, and well-instrumented data pipelines that support marketing and product analytics.
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Data Storytelling & Reporting: Create dashboards, automated reports, and executive presentations to communicate key insights and recommendations to marketing leadership.
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Qualification
Find out how your skills align with this job’s requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.
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Required
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4+ years of experience in Marketing Data Science, Growth Analytics, or Marketing Analytics, with a strong focus on mobile app analytics.
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Strong knowledge of marketing analytics tools.
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Deep understanding of marketing metrics.
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Experience designing and analyzing A/B tests to guide marketing and product decisions.
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Strong data storytelling skills – ability to translate complex analyses into actionable insights for non-technical stakeholders.
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A proactive, self-starter attitude with strong organizational skills, attention to detail, and ability to juggle multiple priorities in a less structured environment.
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Competitive compensation in the form of base salary, bonuses and profit sharing
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Equity Awards in the form of Stock Options
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Comprehensive healthcare fully covered for you and your family including medical, dental, and vision
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Flexible work and vacation schedules
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401k with matching contributions
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Matching gifts to nonprofits
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Public transit reimbursement
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Home workstation reimbursement
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ISP reimbursement
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Monthly phone bill reimbursement
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How to Apply:
Please submit your resume and cover letter through Submit Resume to apply for this position.
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