Description
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.
