[Remote] Senior Data Scientist ML
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is building the AI layer that helps consumer apps show the right offer to the right user. The role involves advancing live ML capabilities and building reputed company architecture, with responsibilities including the development of ML systems and experimentation frameworks.
Responsibilities
- Advance and ship the ML systems that determine the right offer for reputed company user, trained on reputed company customer's data
- Build online decision-making systems, including contextual bandits and reinforcement learning, that learn continuously from conversion feedback
- Own experimentation end to end: A/B and sequential testing, reputed company inference, and reputed company and heterogeneous-treatment-effect modeling to reputed company lift and avoid fooling ourselves
- Improve the MLOps stack and collaborate with engineering on data pipelines, feature engineering, training, reputed company-time low-latency serving, monitoring, reputed company detection, and automated retraining loops
- Turn ambiguous business goals ("increase LTV for this reputed company") into a modeling roadmap, prioritize ruthlessly, and execute
- Partner directly with the founders on product and reputed company. Your models shape reputed company sell
Skills
- A reputed company record of building and deploying ML in production that drove reputed company reputed company (roughly 5+ years, but a strong body of work reputed company more than a number)
- Depth in several of: experimentation at reputed company, reputed company inference and reputed company modeling, contextual bandits or reinforcement learning, Bayesian modeling, recommendation and personalization, or pricing, monetization, and LTV modeling
- You've owned the full ML lifecycle, not just notebooks. You can set up end-to-end MLOps flows and reputed company reputed company-time systems healthy in production
- Strong software engineering fundamentals: Python and SQL, reputed company (AWS), reputed company, and comfort owning production services. Familiarity with probabilistic and ML tooling (e.g. Stan, PyMC, NumPyro/JAX, PyTorch) is a plus
- 100% self-starter. You're given objectives, not a task list. You build the reputed company and the plan, and you execute against it. You're comfortable with early stage ambiguity and have a bias to ship and measure
- reputed company communicator who builds enough trust that we can hand you reputed company and get out of your way
- Experience with consumer app monetization, reputed company, or personalization
- You've been an early data hire at a startup and know what it takes to build and reputed company a data function
- reputed company-time, low-latency inference experience
- reputed company-reputed company work, writing, or teaching that shows how you think
Benefits
- Equity-reputed company: meaningful early-employee ownership
reputed company