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Data Scientist

Arch Systems Inc. - San Francisco

Posted Jun 10, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
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Salary
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401(k) match
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Market context

U.S. role benchmark (BLS OEWS)
$111,944 U.S. median for this role
Projected growth (BLS Employment Projections)
+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Data From the posting source checked Jun 20, 2026
Seniority
Mid From the posting source checked Jun 20, 2026

Schedule

Shift type
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Weekend work
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Company

Equity
Offered From the posting source checked Jun 20, 2026

Application

Cover letter
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Assessment
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Deadline
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Where they hire

State eligibility is not yet verified.

About this role

Data Scientist San Francisco Location: San Francisco | In-Person 3-4 Days/Week 💡 ABOUT ARCH Arch powers frontline industries with cutting-edge AI. The US $800 billion frontline-services sector underpins the nation, yet many of these critical businesses still rely on spreadsheets, outdated software, and paper forms. We're driving energy resilience, economic strength, and long-term prosperity by bringing AI innovation to the services that need it most-starting with home energy. We're backed by Coatue, Floodgate, Gigascale, ReGen, MCJ Collective, and the founders of Aurora Solar. Compensation: Competitive salary + significant equity package based on experience. 🎯 ROLE OVERVIEW We're hiring a Data Scientist to help architect the intelligence layer of Arch. You'll work directly with our CTO and founding team to model customer behavior, optimize campaign performance, and build scalable, production-ready machine learning systems. You'll have ownership from data collection to deployment, working in a highly iterative environment with direct feedback from real-world users. Your work will power high-stakes decisions that directly impact customer outcomes, product development, and revenue. This is a high-ownership, high-ambiguity role for someone excited to ship fast, learn from deployment, and move the needle in a mission-critical industry. 🧠 WHAT YOU'LL DO - Develop and deploy predictive models to identify high-conversion leads and drive campaign targeting - Own the full ML lifecycle: from data acquisition, cleaning, and labeling to modeling, validation, and deployment - Analyze product performance and customer usage to inform roadmap and product design - Collaborate with the engineering team to productionize ML pipelines and integrate

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