Arch

Data Scientist

Full-time · San Francisco
✓ Verified live on the employer's own system · added 417 days ago
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Mid-level · 3+ yrs exp

Requirements

Experience: 3+ years

Skills & tools

Machine Learning ModelsCleaningTeam LeadershipData AnalysisPythonSQLMachine LearningMarketing
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Full job description

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.

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