Senior Data Scientist/ML Engineer
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About Us
At Campaignswell, we're revolutionizing marketing analytics with our AI-powered predictive platform tailored for apps, games, and e-commerce businesses. Our cutting-edge technology delivers precise lifetime value (LTV) predictions within hours, empowering clients to scale their advertising efforts confidently. By seamlessly integrating product and marketing analytics into a unified dashboard, we provide actionable insights that drive growth and profitability. Founded in 2023 and headquartered in San Francisco, our dynamic team is committed to transforming the marketing landscape through innovation and data-driven strategies.
We're looking for a Senior Data Scientist/ML Engineer who's excited to build models that ship, not just models that impress.
The Role
This is a senior individual contributor role sitting at the intersection of data science and engineering. You'll design and deliver machine learning solutions that directly power Campaignswell's product, from revenue prediction, and probabilistic attribution to internal tooling that makes our analysts faster and smarter. You'll work closely with Product and Analytics, and have real ownership over the ML roadmap. We're at a stage where the right person can shape how we do this, not just inherit someone else's decisions.
Responsibilities
- Take over our existing revenue prediction solution and own it end to end: support, iteration and further development.
- Continuously improve model accuracy and reliability so customers can confidently base budget and unit economics decisions on it.
- Own the ML roadmap: decide what to build next and take it from problem framing to production.
- Set up and maintain model monitoring, evaluation and versioning in production.
- Build and maintain ML pipelines in close partnership with the data engineering team.
- Work with Product to define how ML capabilities are surfaced to customers.
- Over time, extend ML to other areas of the platform (e.g. probabilistic attribution, anomaly detection).
Requirements
- Hands-on experience building or leading revenue/LTV prediction models for subscription products, used in production for unit economics and performance marketing (e.g. payback and ROAS forecasting, UA budget allocation).
- End-to-end ownership of ML solutions, from idea to production, monitoring and support. You work independently, without day-to-day technical guidance.
- Key contributor to core ML solutions at a well-established product company or analytics/adtech vendor.
- Strong Python, core ML stack (gradient boosting, NN) and statistical foundations.
- Practical MLOps: deployment, monitoring, versioning.
- AWS and modern data infrastructure (dbt, Snowflake, Airflow or similar).
- Active use of AI tools in your daily work.
- English B1, able to explain trade-offs to business stakeholders.
Nice to Have
- Experience with subscription apps (mobile or web) and user acquisition: cohort LTV, early-signal predictions, SKAN/privacy-limited data.
- Experience with multi-touch or probabilistic attribution, or MMM.
- Familiarity with LLMs and applied NLP tasks.
- Prior experience in a high-growth SaaS environment.
What We Offer
- Competitive salary + performance bonus.
- Fully remote with flexible working hours.
- Home office stipend and learning & development budget.
- Up to 21 days of flexible paid time-off per year.
- Regular team offsites and a culture that actually lives its values.
Campaignswell is an equal opportunity employer. We celebrate diversity and are committed to building an inclusive team. If you're passionate about helping brands grow through smarter data and love collaborating across disciplines to deliver impact, we’d love to hear from you!
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