Senior Data Scientist
Company: Vikta Energy
Location: United States (Remote)
Salary: $160,000 - $220,000 a year
Type: Full-time
Remote: Yes
Posted: 2026-09-21
About this role
ABOUT VIKTA ENERGY
Vikta Energy is building the world’s leading intelligent energy platform and the largest independent Tesla Supercharger network in North America. Vikta combines Tesla’s industry-leading charging technology with proprietary AI, machine learning, and software to identify the highest-value locations, maximize utilization, and connect charging customers with the businesses where they charge, creating new value for drivers, retailers, and property partners.
ABOUT THE ROLE
Reporting directly to the SVP of Data Science and Decision Intelligence, you’ll be one of the first members of the data science team. You’ll work on building Vikta's data science function from the ground up. You'll own modeling, pipelines, and analytics end-to-end, working on key site-selection and utilization decisions. This is a high-autonomy, high-ambiguity role suited to someone who's comfortable owning a problem from messy data through to a production prediction and a stakeholder-ready insight.
WHAT YOU’LL DO
- ML modeling. Develop, validate, and maintain ML models, starting with the EV charger utilization model and expanding to others as the roadmap grows.
- Feature engineering. Source, clean, and engineer features from various datasets.
- Data pipelines. Build and maintain reproducible ingestion and transformation pipelines that feed both models and reporting, with attention to data quality and lineage.
- Dashboards & BI. Build interactive dashboards and reporting that make model outputs and business metrics legible to non-technical stakeholders.
- Analytics support. Serve as an analytics expert to the rest of the company. Provide ad hoc analysis, decision support, and turning open-ended business questions into tractable data work.
WHAT YOU’LL BRING
Required:
- 6+ years building predictive models that were used in production. Ownership from problem framing through deployment, monitoring, and retirement.
- Production experience with gradient-boosted trees...