Data Scientist at Arch

📋 Description

• Develop and deploy predictive models to identify high-conversion leads.
• Own the full ML lifecycle from data acquisition to deployment.
• Analyze product performance and customer usage to inform roadmap.
• Collaborate with engineering to productionize ML pipelines.
• Build internal analytics, dashboards, and investor insights.
• Prototype, experiment, and iterate quickly with speed and rigor.

🎯 Requirements

• 3–6 years in data science, ML engineering, or analytics roles
• Proficiency in Python, SQL, and ML libraries (scikit-learn, XGBoost, PyTorch)
• Familiarity with data pipelines, model evaluation, deployment workflows
• Independent work in ambiguous contexts with high ownership
• Experience translating messy data into actionable insights
• Bonus: large-scale data, marketing analytics, or tooling (dbt, Airflow)

🎁 Benefits

• Location: San Francisco — In-person 3–4 days per week