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# Data Scientist

- **Company:** Recruiting from Scratch
- **Location:** Los Angeles, CA, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $100,000.0 - $130,000.0
- **Contract:** Permanent contract
- **Skills:** Big Data, Computer Programming, Data Files, Database Queries, Python (Programming Language), Standard Sql, SQL Databases, Freeform SQL, Pytorch, Prophet, Scikit Learn, Xgboost, Machine Learning Operations
- **Published:** November 2, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-scientist-los-angeles-ca--0eed9261-730c-447d-be5d-7ea95ba9dfd3

## About the Role

Data Science, Data Science, Funding, Training/Teaching Curriculum, Analysis Skills, Demand Forecasting/Planning, Forecasting, Inventory Planning, Data Sets, SQL (Structured Query Language), * 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.

Preferred

 * 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.

## Description

* Build, maintain, and enhance forecasting models utilizing time-series approaches such as ARIMA/SARIMA and Prophet to support demand planning and inventory decisions.
 * Develop and contribute to optimization models using advanced tools including XGBoost, scikit-learn, PyTorch, and tidymodels.
 * Write and optimize complex SQL queries to extract, transform, and analyze large datasets effectively.
 * Translate analytical findings into clear, actionable recommendations for non-technical stakeholders, focusing on business outcomes like cost savings and improved decision-making.
 * Collaborate closely with engineers and cross-functional partners to integrate models into production workflows.
 * Identify and pursue opportunities where data science can create measurable impacts, even in undefined areas.