Data Scientist
$100,000–$130,000 year
RemoteSan Francisco, California, United States
Job Summary
Build and maintain forecasting models using time-series approaches like ARIMA/SARIMA and Prophet to support demand planning and inventory decisions. Develop optimization models with XGBoost, scikit-learn, PyTorch, and tidymodels while writing complex SQL queries to extract and analyze large datasets. Translate analytical findings into actionable recommendations for non-technical stakeholders, focusing on cost savings and improved decision-making. Collaborate closely with engineers and cross-functional partners to integrate models into production workflows and identify opportunities for measurable impact in undefined areas.
Required Qualifications
- 2–8 years of hands-on experience as a Data Scientist, with a focus on building and deploying models in a professional setting
- Demonstrated experience in supply chain analytics, including inventory management, demand planning, or stockout reduction, with a strong grasp of time-series forecasting
- Proficient in SQL, capable of writing complex queries to analyze large datasets independently
- Strong programming skills in Python or R, with familiarity in common modeling approaches and techniques
- Excellent analytical problem-solving skills, able to decompose vague business questions into structured analytical frameworks
Desired Qualifications
- Experience working in environments focused on physical goods, inventory, or logistics challenges, such as education publishing, retail, or consumer goods
- A genuine interest in forecasting and optimization problems, with a commitment to long-term growth and mission alignment
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.