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# Data Scientist

- **Company:** ARCH PARTNERS LLC
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Airflow, Data Analysis, Python (Programming Language), Machine Learning, SQL Databases, Pytorch, Delivery Pipeline, Model Validation, Backend, Scikit Learn, Data Analytics, Xgboost, Machine Learning Operations, Data Pipelines
- **Published:** October 27, 2026
- **Apply:** https://www.adzuna.com/details/5747003552

## About the Role

* 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

## Description

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