Not currently hiring
Data Scientist, Level 1
Applied Predictive Analytics (APA) will hire an early-career Data Scientist to contribute to the core predictive models behind FilterForecast (water infrastructure) and FaultForecast (electric grid and ignition risk). The role is a hands-on modeling position working with GIS, operational, and sensor data from real utility clients.
What you’ll do.
- Contribute to APA’s production predictive models for pipe-segment failure risk, grid-asset ignition risk, and related infrastructure risk domains.
- Turn messy operational data into model-ready features, and validate that those features actually improve prediction quality before they ship to clients.
- Partner with engineering and product to take models from prototype to dependable production systems utilities can rely on, and keep their performance trustworthy over time.
- Contribute to internal research: new features, new risk categories, new data sources. Early-career scientists at APA are expected to have opinions, not just execute.
- Participate in client-facing technical conversations when appropriate — explaining model decisions to utility engineers and operations leaders.
What we’re looking for.
- Bachelor’s or Master’s degree in data science, statistics, computer science, applied mathematics, engineering, or a closely related field; or equivalent demonstrated experience.
- Working proficiency in Python and one or more standard data science stacks (pandas, scikit-learn, PyTorch, or similar); comfort with SQL and at least one of PostgreSQL, BigQuery, or a comparable warehouse.
- Experience applying machine learning to real-world problems, ideally including problems with messy operational data (not only clean public datasets).
- Ability to communicate model behavior and limitations clearly to non-technical stakeholders; willingness to be questioned by utility engineers and answer directly.
- Based in or willing to relocate to the Los Angeles metro area; available for hybrid work (two to three in-office days per week).
What APA offers.
- Direct work on predictive systems used by utility executives to make maintenance and PSPS decisions — real impact, not academic.
- A small team where a Level 1 Data Scientist works closely with the Founder (who holds a USC Viterbi M.S. Data Science) and the product leadership.
- Exposure to the full arc of an ML system: data ingestion, modeling, productionization, client deployment, operational monitoring.
- Compensation and benefits to be determined when the role opens; competitive for the Los Angeles data science market.