Senior Data Scientist at Pinterest applying GenAI to build analytics solutions and data models. Collaborating across teams to improve data integration and pipeline management.
About the role
- Lead Data Scientist building core AI systems for OpenExpert.AI, an AI operations platform in the energy sector. Collaborating across teams to design, deploy, and scale AI systems in high-stakes environments.
Responsibilities
- Build the Core AI System (0 → 1)
- Design and develop AI/ML systems for diagnostics, anomaly detection, and decision support
- Work with time-series, sensor data, text, and operational data in real-world environments
- Build and deploy models into production, not just prototypes
- Turn Data into Intelligence
- Transform telemetry, manuals, work orders, and engineering documents into actionable insights
- Develop systems for root-cause analysis, predictive maintenance, and knowledge capture
- Contribute to multimodal AI systems that combine structured and unstructured data
- Work Across Product & Engineering
- Partner closely with product and engineering to ship quickly and iterate
- Help define what to build, not just how to build it
- Support early pilots tied to real customer outcomes (diagnostics, uptime, efficiency)
- Lay the Foundation for Scale
- Establish best practices for model development, evaluation, and deployment
- Contribute to explainability, reliability, and system performance
- Help shape the future data science function and roadmap
Requirements
- Experience working in a startup or early-stage environment
- Have built and shipped ML/AI systems from scratch
- Comfortable being hands-on and scrappy
- Strong bias for execution, speed, and ownership
- Strong experience in machine learning, data science, or applied AI
- Experience with time-series data, anomaly detection, or predictive systems
- Familiarity with LLMs, retrieval systems, or multimodal data is a plus
- Solid engineering skills (Python, production systems, APIs, cloud environments)
- Experience deploying models into production environments
- Comfortable working with messy, real-world data
- Ability to balance model performance with practical constraints
- Interested in growing into a leadership role (Head / Chief Data Scientist)
- Able to mentor others and help build a team over time
- Interested in shaping both technical direction and team development
- Experience in energy, industrial systems, or manufacturing is a bonus (not required)
- Familiarity with SCADA/OT systems, IoT, or operational data environments is a bonus (not required)
Benefits
- Early team member with high ownership and impact
- Clear path to Head / Chief Data Scientist as the company grows
- Equity in a venture-backed company
- Backing from C10 Labs (capital, talent, and support)
- Opportunity to build AI systems in real-world, high-stakes environments
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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