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Head of Data

Zap Energy · Everett, WA, United States · On Site · Active · $170,000 / year · Rippling ATS

Job facts

Field	Value
Company	Zap Energy
Title	Head of Data
Normalized title	-
Department / team	Fusion Science
Location	Everett, WA, United States
Work model	On Site
Employment type	Full Time
Salary	$170,000 / year
Status	active
ATS provider	Rippling ATS
Posted / first seen	2026-03-27 / 2026-05-29
Changed / last seen	2026-06-06 / 2026-06-06

Related slices

Page	What it contains	Open
Company jobs	Active postings from Zap Energy.	Open
Company breakdowns	Role, location, ATS, and work model facets for this company.	Open
ATS provider jobs	Active postings observed through Rippling ATS.	Open
Provider filtered search	The same provider as a filtered job collection.	Open
City jobs	Active postings in Everett.	Open
Department jobs	Active postings in Fusion Science.	Open
Work model jobs	Active On Site postings.	Open
Lifecycle events	Open, update, close, and reopen events for this posting.	Open
Original posting	Canonical source or apply URL captured from the ATS.	Open

Linked records

Company	Zap Energy
Source	a471fdaf-1d5c-4314-a002-2168c1e5f47c
ATS provider	Rippling ATS

Description

company About Zap Energy Zap is advancing the next generation of nuclear power technology across fusion, fission and hybrid applications. Built on an integrated platform of high-energy-density physics and pulsed power, liquid metals and advanced materials, and compact, modular systems, Zap is building the foundational technologies needed to deploy the energy sources of the future. role About the opportunity As Head of Data, you will own and evolve the data and AI infrastructure that the entire R&D organization depends on — from the experimental and simulation data pipelines and operational dashboards that drive day-to-day machine operations, to the strategic vision for how AI will be used across Zap Energy. Additionally, you will manage team efforts which employs data scientific methods, machine learning techniques and AI to accelerate scientific analysis and learning on the core plasma physics foundations and fusion science that the sheared-flow-stabilized Z-pinch concept rests upon. This is a player-coach role. You will lead a small, high-impact team while staying hands-on — particularly in scoping, prototyping, and driving AI initiatives, driving data lake architecture and automating advanced analytical techniques. You will be the internal expert and advocate for how Zap harnesses emerging information technologies to broadly accelerate our science and engineering efforts. If you are energized by rigorous science, enjoy building things that matter, and want to shape the data and AI culture of a fusion company at a pivotal moment, this role is for you. Responsibilities Data Infrastructure & Pipelines Lead the ongoing hardening and reliability improvement of our core data pipelines, which serve as the backbone for R&D operations and our machine diagnostics dashboard. Oversee Zap's data lake initiative, ensuring alignment on architecture, data governance, and integration with existing pipelines for experimental data, diagnostics, and simulations. Lead the data engineering team to improve robustness, observability, and maintainability of data systems. AI Strategy & Implementation Inform and execute Zap’s AI roadmap — identifying high-value opportunities across the company, prioritizing initiatives, and shepherding projects from concept to production. Be hands-on in building early AI projects: scoping problems, generating ideas, writing code, and demonstrating proof of concepts that others can build on. Coordinate AI usage across Zap Energy, partnering with physics, engineering, and operations teams to apply AI/ML where it creates the most leverage. Build and maintain relationships with external AI partners and collaborators, representing Zap’s technical interests in joint work. Physics Analysis Workflows Employ ML/AI algorithms to speed up scientific analysis from experimental measurements as well as HPC simulations Maintaining and improving specific data analysis protocols Team Leadership Lead and grow a team of 4 (currently including data engineers and physics data analysts), setting direction, priorities, and a culture of rigor and curiosity. Collaborate closely with the VP of R&D and R&D stakeholders to align data and AI priorities with company goals. Act as the internal champion for data quality, best practices, and responsible AI usage. Qualifications Required 8 + years of experience in data science, ML engineering, or related fields, with scientific or engineering teams in fast paced research and development environments At least 2 years in a team lead or management role. Demonstrated experience deploying machine learning models and AI systems in production or research environments. Experience leading or participating in scientific investigations in academic or industrial environments Hands-on Python experience with scientific/data libraries (NumPy, Pandas, scikit-learn, or equivalent). Experience with data pipeline design, ETL workflows, and data quality practices. Proven ability to develop and communicate a technical strategy to non-technical stakeholders. Comfortable working as a player-coach: leading through others while staying technically engaged. Preferred Experience with data lake architecture and modern data stack tooling (e.g., dbt, Spark, cloud storage platforms). Experience managing multidimensional datasets such as time series, images, and video. Experience in a fast-paced R&D or deep-tech environment. Some knowledge of plasma physics and fusion science Education Bachelor's degree in computer science, engineering, physics, or a related technical field. PhD in physics or related field strongly preferred. Employment may be conditioned upon the ability to obtain export authorization. Estimated salary range: $170,000-210,000 annually. Candidates may be considered for other positions at Zap Energy and actual salary will be based on relevant education, experience, and other qualifications. Range is published in accordance with Washington Equal Pay and Opportunity Act. Zap Energy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws and regulations.

Full job record

Job ID	b0aae1673d95c3510d9576e0e6904a13e21ffdb8
Org ID	0f1f4be0-427b-4e98-9e01-53a596965837
Source ID	a471fdaf-1d5c-4314-a002-2168c1e5f47c
Board ID	a471fdaf-1d5c-4314-a002-2168c1e5f47c
Provider	rippling
Provider Job Key	cd931ab3-9ef6-412f-9eee-945b704ca087
Title	Head of Data
Normalized Title	—
Status	active
Active	yes
Location Text	Everett, WA, United States
Department	Fusion Science
Team	—
Employment Type	full_time
Workplace Type	on_site
Remote Policy	—
Country	United States
Region	WA
City	Everett
Salary Raw	salary range: $170,000-210,000 annually
Salary Min	170,000
Salary Max	—
Salary Currency	USD
Salary Period	year
Source URL	https://ats.rippling.com/zap-energy-careers/jobs/cd931ab3-9ef6-412f-9eee-945b704ca087
Apply URL	https://ats.rippling.com/zap-energy-careers/jobs/cd931ab3-9ef6-412f-9eee-945b704ca087
First Seen At	2026-05-29 07:15:21Z
Last Seen At	2026-06-06 08:45:52Z
Last Checked At	2026-06-06 08:45:52Z
Last Changed At	2026-06-06 08:45:52Z
Inactive At	—
Source Posted At	2026-03-27 00:20:37Z
Source Updated At	—
Raw Payload Uri	s3://job-postings-prod-raw-590183727216/raw/provider=rippling/board=zap-energy-careers/date=2026-06-06/2026-06-06T08-45-51-144Z-bdc003e98872cd82128e5746c229830e8f29db4a90285507390c0e3ed5bc035d.json

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      "role": "<meta><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"color:rgb(26,74,122);font-size:12pt;white-space:pre-wrap;\">About the opportunity</strong></b></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"white-space:pre-wrap;\">As Head of Data, you will own and evolve the data and AI infrastructure that the entire R&amp;D organization depends on — from the experimental and simulation data pipelines and operational dashboards that drive day-to-day machine operations, to the strategic vision for how AI will be used across Zap Energy. Additionally, you will </span><span style=\"color:rgb(34,34,34);white-space:pre-wrap;\">manage team efforts which employs data scientific methods, machine learning techniques and AI to accelerate scientific analysis and learning on the core plasma physics foundations and fusion science that the sheared-flow-stabilized Z-pinch concept rests upon.</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"white-space:pre-wrap;\">This is a player-coach role. You will lead a small, high-impact team while staying hands-on — particularly in scoping, prototyping, and driving AI initiatives, driving data lake architecture and automating advanced analytical techniques. You will be the internal expert and advocate for how Zap harnesses emerging information technologies to broadly accelerate our science and engineering efforts. If you are energized by rigorous science, enjoy building things that matter, and want to shape the data and AI culture of a fusion company at a pivotal moment, this role is for you.</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"color:rgb(26,74,122);white-space:pre-wrap;\">Responsibilities</strong></b></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"white-space:pre-wrap;\">Data Infrastructure &amp; Pipelines</strong></b></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Lead the ongoing hardening and reliability improvement of our core data pipelines, which serve as the backbone for R&amp;D operations and our machine diagnostics dashboard.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Oversee Zap's data lake initiative, ensuring alignment on architecture, data governance, and integration with existing pipelines for experimental data, diagnostics, and simulations.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Lead the data engineering team to improve robustness, observability, and maintainability of data systems.</span></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"white-space:pre-wrap;\">AI Strategy &amp; Implementation</strong></b></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Inform and execute Zap’s AI roadmap — identifying high-value opportunities across the company, prioritizing initiatives, and shepherding projects from concept to production.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Be hands-on in building early AI projects: scoping problems, generating ideas, writing code, and demonstrating proof of concepts that others can build on.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Coordinate AI usage across Zap Energy, partnering with physics, engineering, and operations teams to apply AI/ML where it creates the most leverage.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Build and maintain relationships with external AI partners and collaborators, representing Zap’s technical interests in joint work.</span></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"white-space:pre-wrap;\">Physics Analysis Workflows</strong></b></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Employ ML/AI algorithms to speed up scientific analysis from experimental measurements as well as HPC simulations</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Maintaining and improving specific data analysis protocols</span></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"white-space:pre-wrap;\">Team Leadership</strong></b></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Lead and grow a team of 4 (currently including data engineers and physics data analysts), setting direction, priorities, and a culture of rigor and curiosity.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Collaborate closely with the VP of R&amp;D and R&amp;D stakeholders to align data and AI priorities with company goals.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Act as the internal champion for data quality, best practices, and responsible AI usage.</span></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"color:rgb(26,74,122);white-space:pre-wrap;\">Qualifications</strong></b></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"white-space:pre-wrap;\">Required</strong></b></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">8 + years of experience in data science, ML engineering, or related fields, with scientific or engineering teams in fast paced research and development environments</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\"> At least 2 years in a team lead or management role.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Demonstrated experience deploying machine learning models and AI systems in production or research environments.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Experience leading or participating in scientific investigations in academic or industrial environments</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Hands-on Python experience with scientific/data libraries (NumPy, Pandas, scikit-learn, or equivalent).</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Experience with data pipeline design, ETL workflows, and data quality practices.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Proven ability to develop and communicate a technical strategy to non-technical stakeholders.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Comfortable working as a player-coach: leading through others while staying technically engaged.</span></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"white-space:pre-wrap;\">Preferred</strong></b></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Experience with data lake architecture and modern data stack tooling (e.g., dbt, Spark, cloud storage platforms).</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Experience managing multidimensional datasets such as time series, images, and video.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Experience in a fast-paced R&amp;D or deep-tech environment.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Some knowledge of plasma physics and fusion science</span></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"white-space:pre-wrap;\">Education</strong></b></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"white-space:pre-wrap;\">Bachelor's degree in computer science, engineering, physics, or a related technical field. PhD in physics or related field strongly preferred.</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"white-space:pre-wrap;\">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(33,33,33);font-size:11pt;white-space:pre-wrap;\">Employment may be conditioned upon the ability to obtain export authorization. </span><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Estimated salary range: $170,000-210,000 annually. Candidates may be considered for other positions at Zap Energy and actual salary will be based on relevant education, experience, and other qualifications.  Range is published in accordance with Washington Equal Pay and Opportunity Act. </span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Zap Energy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws and regulations. &nbsp;</span></p>",
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