Data Scientist - Mapping
Design and build large-scale HD mapping datasets, data pipelines, and benchmarking tools to improve ML model accuracy for autonomous driving. Requires 3+ years experience, strong Python and statistical skills.
Responsibilities
- Design and build a high-quality, large-scale mapping dataset and data pipelines for training and evaluating machine learning models
- Design and build tools for model performance benchmarking and introspection
- Collaborate closely with machine learning engineers to define and refine data curation and model training strategies that drive measurable improvements in model accuracy and performance
- Collaborate cross-functionally with teams working on perception, planning, prediction, simulation, etc.
Requirements
- BS or MS in Computer Science or related field and 3+ years of experience
- Proficient in Python
- Strong Statistical Foundations: Deep understanding of hypothesis testing, experimental design, regression analysis, non-parametric/resampling methods (e.g., bootstrapping, permutation tests), and time-series analysis handling autocorrelated data
- Experience with large-scale, multi-modal datasets, benchmarking and introspection
- Ability to identify, clean, and process datasets containing high levels of noise or ambiguous classifications
Nice-to-Haves
- Experience in computer vision, machine learning algorithms
- Knowledge of geospatial data and coordinate systems
- Ability to write highly complex, optimized SQL queries for massive distributed databases
- Databricks experience
Data Science Manager - Application Fraud
Manage and mentor a team of data scientists building fraud detection models and financial risk products. Own end-to-end model development from data acquisition through production, while driving technical direction and cross-functional planning.
Lead Data Scientist, Product
Founding product data scientist driving PLG and B2B growth strategy through experimentation, analytics, and opportunity sizing. Requires 5-8 years experience with 3+ years in growth, strong SQL/Python, and A/B testing expertise.
Staff Data Scientist, Forecasting
Lead forecasting models for key company metrics, own the full modeling lifecycle, and translate outputs into executive decisions. Requires 8+ years building production time-series models at scale, strong Python/SQL skills, and proven technical leadership.
Data Science Manager - Market Origination
Lead a team of data scientists and analysts to own line setting strategy, projection models, and market origination for fantasy sports and esports props. Requires 5+ years in sports betting/fantasy, management experience, and strong technical skills in SQL/Python/R.
Data Science Manager - Sports Pricing
Lead pricing and risk strategy for fantasy sports markets while managing a team of pricing analysts and data scientists. Requires 5+ years in sports betting/fantasy, strong data science skills, and proven management experience.