OfferFit was founded by ex-McKinsey and BCG math PhDs, and we’re funded by leading Silicon Valley VCs. OfferFit’s AI decisioning engine supports 1:1 personalization for lifecycle marketing campaigns, powered by reinforcement learning AI. This allows marketers to test & improve the performance of their campaigns much faster than before. Customers include leading brands like Brinks Home, Yelp, Chime, Engie, and MetLife, among many others.
Note for Applicants:
Data shows that men on average apply for a role if they meet 6/10 requirements while women often only do so if it’s 10/10. We work hard to be clear and specific about what our roles require, and we encourage you to apply even if you don’t check all the boxes! Applying gives you the opportunity to be considered and we look forward to reviewing your application!
Who’s a Fit:
- Experience: 5+ years in industry Data Science and Machine Learning with an emphasis on deployed prediction applications in the consumer space (churn, fraud, etc.)
- Scientific Problem Solver: You think deeply about the data in your ML problem and rigorously analyze the impact of your interventions.
- Calm under pressure: Systematically and efficiently determine the root causes of poor performance and deduce model issues under tight time lines and high client expectations.
- Solid coder: you write clean, well documented code; you care about good design.
- Tinkerer: you regularly explore and learn new technologies and methods
- Entrepreneurial: you proactively identify opportunities and risks, work around obstacles, and always seek creative ways to improve processes and outcomes
- Structured and organized: you can structure a plan, align stakeholders, and see it through to execution
- Clear communicator: you are able to express yourself clearly and persuasively, both in writing and verbally
As we take on more customers and unique challenges, we are looking for a Staff Data Scientist who can help optimize performance of our deployed product models. Come join a team of creative technical experts who collaborate with customers to ensure their success with OfferFit!
In the role you will:
- Take a leading role in the optimization and troubleshooting of live Reinforcement Learning and Causal ML models driving OfferFit's marketing campaign use cases.
- Analyze and improve OfferFit's Reinforcement Learning and Causal ML algorithms in collaboration with the Applied ML engineering team that develops our ML pipeline.
- Create new custom diagnostic tests and analyses to support OfferFit's Reinforcement Learning and Causal ML algorithms.
Technical Landscape:
- OfferFit is creating a GUI based, customizable -ML platform
- ML Approaches: Contextual Bandits, Causal ML, Gradient Boosting
- Data Science/Back End: Python (Pandas, Sklearn), Gradient Boosting (Catboost, XGBoost, Lightgbm), SHAP, SQL (GBQ)
- Architecture/DevOps: Airflow, GCP
Why is it great:
No toy datasets in notebooks — we’re implementing AI pipelines in production at scale!
- High impact role improving the performance of live ML driven systems.
- Deploy recent advances in ML in live applications.
- Work in a team that not only talks the talk of development best practices, but walks the walk — unit & integration tests, modular design, CI/CD, pair programming, code reviews — the works.
- Join OfferFit’s fast-paced, supportive, and professional team. We make sure all of our team members are empowered and receive great mentorship and coaching.
Additional Requirements:
- Must be fluent in English, both written and verbal
- Up to 10-15% travel for company-wide quarterly gatherings, team offsite workshops, customer meetings, and industry-related events
OfferFit Benefits and Perks:
- Generous PTO (starting at 25 days PTO per year) and Parental Leave policy (12 weeks paid)
- 100% remote work environment with flexible hours
- Quarterly gatherings where we meet in person in a different city to work together, bond as a team and celebrate our progress
- Weekly team events (lunch and learns, trivia, virtual escape rooms, town hall and team health “barometer” meetings)
- Ability to learn and develop under an experienced leadership team (ex-Amazon, McKinsey, BCG, and IBM, among others) who are focused on building a talented, diverse, and inclusive team
- Dedication to building a strong culture (e.g., team resource groups, weekly recognitions, major life event celebrations, mental health/sustainability days off, etc)
Please note that we adjust compensation for non–US countries using a relative cost of labor adjustment between the US and your country of residence. Applicants should apply via OfferFit’s internal or external careers site.
OfferFit is committed to a diverse and inclusive workplace. OfferFit is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
