UP.Labs · 2 months ago
Sr. Data Scientist (Contract)
Los Angeles, CA
Full-time, Contract
Hybrid
Senior Level
6+ years expUP.Labs is partnering with a global energy industry leader to build an AI-driven intelligence platform. As a Sr. Data Scientist, you will design, train, and deploy models to turn complex data into actionable intelligence, collaborating with cross-functional teams to deliver impactful AI solutions.
Venture Capital & Private Equity
Responsibilities
Design and implement ML models for prediction, optimization, and pattern detection across large, multi-source industrial datasets
Collaborate cross-functionally with product managers, engineers, and data engineers to define use cases, collect requirements, and translate business needs into quantitative problems
Build and maintain data pipelines that support scalable model training, evaluation, and deployment
Prototype rapidly—exploring different modeling approaches (e.g., regression, time-series forecasting, clustering, reinforcement learning, and deep learning) to find the most effective solutions
Evaluate and improve model performance through rigorous experimentation, feature engineering, and error analysis
Partner with the AI/LLM engineering team to integrate predictive and generative components into end-user workflows
Communicate findings clearly to both technical and non-technical audiences—bridging the gap between model outputs and business decisions
Establish best practices for reproducibility, versioning, and documentation to support long-term scalability
Qualification
Required
6+ years of professional experience in applied data science, machine learning, or advanced analytics
Proven ability to build and deploy models in production, ideally within a B2B SaaS or enterprise environment
Expertise in Python, SQL, and common ML frameworks (scikit-learn, PyTorch, TensorFlow, XGBoost, etc.)
Strong experience with data wrangling, feature engineering, and exploratory data analysis using large-scale structured and unstructured datasets
Ability to design experiments and A/B tests, interpret results, and guide decision-making through data
Strong communication and storytelling skills—able to contextualize technical insights for executives and business stakeholders
Preferred
Familiarity with time-series, forecasting, and predictive maintenance models is a plus
Experience with cloud-based ML pipelines (GCP, AWS, or Azure) and data infrastructure tools (Databricks, Spark, Airflow, etc.)
Company
UP.Labs
UP.Labs is a first-of-its-kind venture lab unlocking the future of transportation and mobility.
11-50 employees
Funding
Current Stage
Early StageLeadership Team
André Rabold
Head of Engineering & Venture CTO
Keith Rives
CTO, Stealth Retail Data Science Startup
Recent News
2026-01-11
Company data provided by crunchbase