Lead Data Scientist (AI)

TL;DR

Lead Data Scientist (Founding Team) (AI): Building the core intelligence layer for an AI platform designed to help operations teams diagnose issues, reduce downtime, and improve decision-making in industrial environments with an accent on diagnostics, anomaly detection, predictive maintenance, and multimodal systems. Focus on designing, developing, and deploying AI/ML models handling time-series, sensor data, text, and operational data from scratch into production.

Location: Hybrid (Cambridge)

Company

Early-stage AI platform venture-built within hirify.global, focused on power operations and industrial maintenance.

What you will do

• Design and develop AI/ML systems for diagnostics, anomaly detection, decision support, root-cause analysis, and predictive maintenance
• Transform telemetry, manuals, work orders, and engineering documents into actionable insights using multimodal AI
• Build and deploy models into production environments, working with real-world messy data
• Partner with product and engineering teams to define features, ship quickly, iterate, and support customer pilots
• Establish best practices for model development, evaluation, deployment, explainability, and reliability
• Shape the data science function, roadmap, and grow into leadership (Head/Chief Data Scientist)

Requirements

• Experience in startups or early-stage environments, building and shipping ML/AI systems from scratch (0→1)
• Strong machine learning/data science/applied AI skills, especially time-series, anomaly detection, predictive systems
• Solid engineering: Python, production systems, APIs, cloud; deploying models to production
• Hands-on builder mindset: scrappy, execution-focused, comfortable with messy real-world data
• Interest in growing into leadership, mentoring, and team-building

Nice to have

• Familiarity with LLMs, retrieval systems, multimodal data
• Experience in energy, industrial systems, manufacturing, SCADA/OT, IoT, predictive maintenance

Culture & Benefits

• Early team member with high ownership, impact, and equity in venture-backed company
• Backing from hirify.global: capital, talent network, advisors, operational support
• Hands-on role in high-stakes real-world AI for energy/industrial sector
• Path to Head/Chief Data Scientist as company scales

Hiring process

• Stage 1: Application review
• Stage 2: Calibration call