Staff Data Scientist

Bloom Energy • Fremont, CA

1d • Onsite

About The Position

At Bloom Energy, our vision for a world powered by clean, reliable, and affordable energy is more than just a dream—we’re making it reality. For over two decades, we’ve been at the forefront of the global energy transition, pioneering solutions that empower critical industries to thrive in a rapidly digitizing, energy-intensive world. From revolutionizing power for AI-driven data centers to ensuring resilience for hospitals, electric grids, manufacturing facilities, and utilities, our solid oxide fuel cell (SOFC) and solid oxide electrolyzer (SOEC) technologies are redefining what’s possible by delivering energy abundance for all. With more than 30,000 fuel cell modules deployed worldwide, we are the trusted partner for Fortune 100 companies and innovators alike. Our cutting-edge solutions enable unparalleled “time-to-power” capabilities, reliability, and sustainability, ensuring our customers remain ahead in a world where soaring energy demand and intensifying energy scarcity are rapidly becoming the new norm. At Bloom, we thrive on collaboration, bold thinking, and relentless innovation. We believe that, together, we can create a brighter, more sustainable future while tackling the most pressing challenges of the 21st century. We are looking for a Staff Data Scientist, to join our team in one of today’s most exciting technologies. This role will report to the Factory Engineering Director and based in Fremont, CA. This is a fully on-site, in office role.

Requirements

• Bachelor’s degree in data science, statistics, computer science, engineering or a related technical field.
• 7+ years of experience in data science or advanced analytic roles.
• Strong proficiency in: Python or R SQL Statistical analysis and experimental design
• Experience in high-volume manufacturing environments (e.g., electronics, automotive, semiconductor, medical devices, chemicals).
• Prolonged periods of standing and performing repetitive tasks.
• Must be able to lift up to 25 lbs. at a time.
• Must have manual dexterity in order to assemble products as directed.
• Must have excellent hand-eye coordination
• Must wear Personal Protective Equipment (PPE)

Responsibilities

• Develop predictive and prescriptive models for yield improvement, scrap reduction, cycle-time optimization, and equipment reliability.
• Build anomaly detection models and statistical process control (SPC)–driven insights to monitor production health.
• Apply machine learning techniques (classification, regression, clustering, time-series forecasting) to high-volume sensor and production data.
• Analyze complex multi-step manufacturing workflows to identify bottlenecks and root causes of variation.
• Partner with process engineers to translate data insights into measurable operational improvements.
• Identify opportunities for automation and advanced analytics as part of Lean / Six Sigma / Digital Transformation initiatives.

Benefits

• competitive Medical, Dental, and Vision plans with a large employer contribution
• a 401(k) Retirement Plan with company match
• generous Mental Health Support services
• Legal services
• virtual Physical Therapy access
• Fertility & Family Forming benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level