--- title: 'Data Scientist at Arch' canonical: 'https://feeny.ai/job/data-scientist-arch-san-francisco-4vfjkej6x0h1' type: 'job' last_seen: '2026-09-08' --- # Data Scientist at Arch - **Company:** Arch - **Location:** San Francisco, CA - **Employment:** full-time - **Posted:** 2025-06-17 - **Last confirmed live:** 2026-09-08 - **Apply:** https://jobs.ashbyhq.com/arch/fffdd51a-6aa2-43d4-8b41-c6da24e1c79e ## Job description 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frontline-services sector underpins the nation, yet many of these critical businesses still rely on spreadsheets, outdated software, and paper forms.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 them into our backend systems - Work closely with leadership to build internal analytics, dashboards, and investor-facing insights - Prototype, experiment, and iterate quickly—balancing rigor with speed ## 📚 QUALIFICATIONS Must-haves: - 3–6 years experience in data science, ML engineering, or analytics roles in fast-paced environments - Proficiency in Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, or PyTorch) - Familiarity with data pipelines, model evaluation, and deployment workflows - Proven ability to work independently in ambiguous contexts with high judgment and ownership - Experience working with business stakeholders to translate messy data into actionable insights Strong bonuses: - Experience with large-scale structured data (e.g., property, utility, or energy-related datasets) - Knowledge of marketing analytics, targeting models, or customer segmentation - Familiarity with modern data tooling (e.g., dbt, Airflow, Dagster, DuckDB) - Comfort with basic full-stack workflows or collaborating in a product engineering environment ## 🌱 WHAT WE VALUE - First-principles thinking - Extreme ownership - Speed and bias for action - Low ego, high standards - Deep care for users ## 🧑‍🤝‍🧑 WHO YOU’LL WORK WITH Philipp (CEO) – Grew up on a Bavarian strawberry farm, built some of the world’s largest solar plants, crafted growth strategies for F500 software companies at McKinsey, and studied at Stanford. Known for breaking through walls and never taking no for an answer. Ask him about his favorite SF cafés. Sacha (CTO) – Product-minded engineer from Belgium and Australia with deep AI expertise and YC startup experience. Previously built wildfire response systems that save lives. Obsessed with world-class UX, lightning-fast execution, and excellence at the intersection of design and engineering. Ready to build the intelligence layer for a new class of frontline systems? Apply below and help us power the future of energy. ## About Arch ## Company Overview - **One-liner**: AI-powered revenue automation platform that helps HVAC, plumbing, electrical, and drain contractors retain customers, find high-intent leads, and automate multi-channel marketing campaigns. - **Entity Type**: Private – Seed stage (total funding $6.2M) - **Headquarters**: San Francisco, California, United States (with presence in Ireland) - **Founded**: 2022 (Pre-Seed funding closed February 2023) - **Founders**: Phil K. (Co-Founder & CEO), Sacha Schmitz (Co-Founder) ## Core Business - Primary industry: Home services software / Marketing automation for trade contractors - Target customers: B2B – SMBs and mid-market contractors in HVAC, plumbing, electrical, and drain services - Mission/purpose: “Accelerate the biggest infrastructure transition in human history” – enabling home services operators to adopt the right upgrades at the right time through data, automation, and financing. ## Products & Services - **Arch Platform (AI Revenue Software)**: End-to-end marketing automation that ingests data from ServiceTitan, analyzes customer health, identifies churn risks, and automatically runs retention and lead-generation campaigns. Includes email and direct mail execution, A/B testing, and full attribution tracking. - **AI-Lead Discovery**: Machine learning that analyzes permits, property data, and market signals to surface high-intent prospects before competitors. - **Precision Diagnostics**: Benchmarking tool that compares a contractor’s performance against proprietary industry data (thousands of contractors) to pinpoint churn gaps and upsell opportunities. - **Automated Retention Campaigns**: Detect at-risk customers and re-engage them with personalized offers without manual intervention. ## Market Standing - **Valuation**: Not disclosed - **Key Metric (Funding)**: $6.2M total (Pre-Seed Feb 2023 + Seed Feb 2024) - **Notable Investors / Partners**: Backed by leading investors (5 investors in Seed round; names not publicly disclosed). Closely integrated with ServiceTitan. - **Growth Signals**: - Headcount grew 42.9% YoY (now 8 employees) - Website traffic up 232.5% month-over-month and 193.3% year-over-year - Customer case study: Pacific Heating & Cooling generated ~$138K in new pipeline in 36 days at ~11x ROI - Two active job postings as of mid-2026 (Founding GTM and Founding Account Executive) ## Competitive Advantages - **Trade‑specific specialization**: Built exclusively for HVAC, plumbing, electrical, and drain contractors, not generic business software. - **Deep ServiceTitan integration**: Native connection means data stays in sync and attribution is accurate. - **Proprietary benchmark data**: Industry’s most comprehensive performance database from thousands of contractors, enabling precise diagnostic recommendations. - **Autonomous execution**: Runs end-to-end campaigns (list building, printing, mailing, A/B testing, attribution) with no need for agencies or extra headcount. - **Unique external data sources**: Incorporates permits, real estate transactions, and financial signals to build a complete market picture. ## Strategic Focus - Scale the “Autonomous Revenue Engine” to help home services operators capture market share without increasing headcount. - Expand AI lead discovery and predictive analytics to reduce customer churn (industry average is 36% annual churn; best contractors achieve 8%). - Continue vertical integration with ServiceTitan and potentially add more home services verticals (e.g., drain). - Fundraising likely later as growth accelerates (current seed stage). ## Why Work Here - **Culture & values**: Camaraderie (supportive, assume best intentions), Ownership (ask forgiveness, not permission), Urgency & Focus (bias for action, address climate challenges), and Excellence (continuous learning, high standards). - **Team size & impact**: Tiny, fast-moving team (~8 people) – early employees will have outsized ownership and influence. - **Work environment**: San Francisco headquarters with international presence (Ireland). Likely in‑office or hybrid given the early stage; specific remote policy not stated. - **Perks / engineering culture**: Opportunities to shape the product from the ground up (“founding” roles), work on climate‑critical infrastructure transition, and build AI/ML features that drive real revenue outcomes for contractors. - **Recent job openings**: Founding GTM role and Founding Account Executive (as of May/June 2026). Ideal for candidates who thrive in extreme pace and high autonomy. ## Sources 1. [getarch.com (homepage)](https://getarch.com/) 2. [getarch.com/about](https://getarch.com/about) 3. [getarch.com/careers](https://getarch.com/careers) 4. [linkedin.com/company/get-arch](https://www.linkedin.com/company/get-arch) 5. [jobs.ashbyhq.com/arch (career page)](https://jobs.ashbyhq.com/arch) ## Other roles at Arch - [Founding Deployment Strategist](https://feeny.ai/job/founding-deployment-strategist-arch-san-francisco-d1eb18g0mv3t) — San Francisco, CA - [Founding SDR](https://feeny.ai/job/founding-sdr-arch-san-francisco-0d6b53b2fbtp) — San Francisco, CA - [Founding GTM](https://feeny.ai/job/founding-gtm-arch-san-francisco-va1vqcw0krkt) — San Francisco, CA - [Founding Account Executive](https://feeny.ai/job/founding-account-executive-arch-san-francisco-3kj3wcrywcgc) — San Francisco, CA - [Senior Software Engineer](https://feeny.ai/job/senior-software-engineer-arch-san-francisco-3kp4pby00f7e) — San Francisco, CA - [Data Scientist](https://feeny.ai/job/data-scientist-moonpig-london-snyv8sk5y734) — London, United Kingdom - [Data Scientist](https://feeny.ai/job/data-scientist-siteminder-pune-sbsqk7vby9be) — Pune, India - [Data Scientist](https://feeny.ai/job/data-scientist-platform-science-brazil-qbe9ryqqenny) — Brazil - [Data Scientist](https://feeny.ai/job/data-scientist-lyft-seattle-q264zy62f5ah) — Seattle, WA - [Data Scientist](https://feeny.ai/job/data-scientist-funding-circle-london-z7stq48ttw59) — London, United Kingdom