Lead Data Scientist - OpenExpert.ai

• Have worked in startups or early-stage environments
• Are comfortable building from scratch (0 → 1)
• Want to grow into a leadership role over time, not step into a large pre-built team

What You’ll Do

• 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

• 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

• 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)

• 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

Who You Are

• 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
• Familiarity with SCADA/OT systems, IoT, or operational data environments
• Background in predictive maintenance or decision-support systems

• Are looking for a pure leadership role without hands-on work
• Prefer working with large, structured teams and clean data
• Have not worked in early-stage or ambiguous environments

• 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

• Equity + salary (post-fundraise structure)

Why This Role

• Build from 0 → 1
• Work on high-impact, real-world problems
• Help define a category at the intersection of AI, energy, and industrial systems