Notability is an industry-leading note taking application; our mission is to bring the expressivity of paper to the digital realm, so people can learn, study, and collaborate together better. These values are reflected in the way we work : we value empathy for our users, great design, and believe the best ideas can come from anywhere.
We're looking for a Marketing Data Scientist to partner with our Marketing and Product teams and turn data into actionable insights, predictive models, and smarter marketing decisions. You will play a critical role in shaping Notability's growth strategy through data-driven insights. This is a strategic yet hands-on position where you will analyze marketing performance, optimize campaigns, and develop predictive models to improve user acquisition and retention.
In addition to working closely with the Marketing team, you will also collaborate with the Product team to understand user behavior, experiment with new engagement strategies, and ensure that marketing efforts align with product evolution. You'll work with internal and external data sources, integrating diverse datasets to create a holistic view of user interactions across Notability's platforms.
This role is hybrid , with a minimum of two days (Tuesdays & Thursdays) onsite at our San Francisco office.
What You'll Do :
Marketing Analytics & Performance Optimization
- 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.
Cross-Functional Collaboration & Data Integration
- 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.
What You Need :
- 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.
How We Work
Each member of our team contributes to all parts of our products. We trust each other to make decisions independently while also considering our common goals and values. We share ideas openly, and we collaborate across disciplines to ensure that our decisions make sense from all perspectives.
When We Work
We keep work and life balanced. We set our schedules based on our excitement to solve a problem, and we trust each other to get things done. We work from home when it will help, and we have an "as long as you get your work done" vacation policy.
Why You'd Love Working Here
We work in downtown SF near Market Street, just a short walk from two BART / Muni stations. Our office has height-adjustable desks to help us stay limber, spacious conference rooms for both small and large team meetings, a well stocked kitchen full of goodies, and a shuffleboard table to enjoy : ). Our team is tight-knit and down to earth. We want everyone to achieve optimal work life balance and find passion in what they do.
- 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
- Monthly phone bill reimbursement
For this position we are targeting a base pay between $150,000-$205,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.
Ginger Labs, Inc. is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.
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Data Scientist • San Francisco, CA, United States