Marketing Data Scientist

Join Notability and shape the future of learning. We’re building the next generation of tools designed not just to capture notes, but to fundamentally improve how people learn, think, and collaborate. Our app brings the natural expressiveness of paper into the digital age, empowering millions of students, educators, and professionals worldwide to organize their ideas, deepen their understanding, and achieve their goals. Our mission is simple: we help you learn.

As part of our team, you’ll help create experiences driven by empathy, exceptional design, and the belief that great ideas can come from anywhere—including you. Come help us make learning better for everyone.

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.

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.

Experimentation & Predictive Modeling

• 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.

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.

This role follows a hybrid model, with a minimum of two days onsite at our downtown San Francisco office and flexibility to work remotely from home the rest of the week.

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 actively promote work-life balance.  Our schedules are flexible, our hybrid policy supports remote work when it makes sense, and we have a “as long as you get your work done” approach to time off.

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 growing, collaborative and down to earth.  We want everyone to do their best work and find passion in what they do.

Benefits

• Competitive compensation that includes 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

Notability 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.