Senior Supply Chain Data Scientist

Primary Talent Partners; Sunnyvale (CA); On-site; USD 83,000 - 96,000; Full time

Benefits offered by this job

No PTO

ACA supplemental package available

Job summary

Primary Talent Partners is seeking a Senior Supply Chain Data Scientist for an on-site, contract role in Sunnyvale, CA. You will build and optimize machine learning and statistical models to improve demand forecasting and inventory decisions, enhancing overall supply chain responsiveness.

This 12-month W2 hourly engagement emphasizes Python and SQL modeling, ETL-driven data pipelines, and translating complex analyses into actionable stakeholder recommendations.

Qualifications

• Bachelor’s degree in a technical field with 5+ years of related work experience; OR Master’s 3+ years; OR Doctoral 0–2 years.
• Strong Python and SQL, with solid ML and DL experience.
• Experience with ETL, data engineering, statistics, time-series forecasting, feature engineering, hyperparameter optimization, and model validation.
• Ability to communicate analytical results to technical and non-technical audiences and iterate based on feedback.

Responsibilities

• Develop and optimize ML and statistical models, including time-series forecasting and hyperparameter optimization.
• Build data and ETL pipelines, create data visualizations, and automate model training, deployment, and monitoring using MLOps.
• Partner with stakeholders to translate analyses into actionable recommendations.
• Create AI agent pipelines to automate routines and support faster decision-making.

Skills

Python

SQL

Machine learning

Deep learning

ETL

Statistics

Time-series forecasting

Feature engineering

Hyperparameter optimization

Model validation

Communication

Education

Bachelor's degree

Master's degree

Doctoral degree

Tools

MLOps

Data pipelines

Job description

Primary Talent Partners is hiring a Senior Supply Chain Data Scientist for an onsite, contract role in Sunnyvale, CA. In this position, you will build and optimize machine learning and statistical models that enhance demand predictability, inventory decision-making, and overall supply chain responsiveness.

This 12-month W2 hourly engagement focuses on reliable forecasting for operational use, with strong emphasis on Python and SQL modeling, ETL-driven data pipelines, and translating complex analyses into recommendations for stakeholders.

Key Responsibilities

• Develop and optimize machine learning and statistical models, including time-series forecasting and hyperparameter optimization, to improve demand forecast accuracy for operational workflows.
• Build robust data and ETL pipelines, create data visualizations, and automate model training, deployment, and monitoring using MLOps practices to deliver scalable, dependable forecasts and actionable supply chain insights.
• Partner with business stakeholders to understand operational challenges and convert complex analytical outcomes into actionable recommendations.
• Understand supply chain processes and create AI agent pipelines to automate routine workflows and support faster, more effective decision‑making.

Requirements

• Bachelor’s degree in Computer Science, Computer Engineering, Data Science, Statistics, or a relevant technical field with 5+ years of related work experience; OR Master’s degree with 3+ years; OR Doctoral degree with 0–2 years.
• Strong hands‑on proficiency in Python and SQL, with solid expertise in machine learning and deep learning.
• Experience with ETL and data engineering, statistics, time-series forecasting, feature engineering, hyperparameter optimization, and model validation.
• Ability to communicate analytical results clearly to both technical and non‑technical audiences and to continuously improve solutions based on feedback.

Technologies

• Python
• SQL

Preferred Qualifications

• Experience in supply chain optimization, including inventory, transportation, sourcing, distribution, fulfillment, planning, and related functions.
• Background writing high‑performance code and deploying algorithms in production environments.
• Experience building AI pipelines intended for operational use.

Contract Details and Location

• Location: Sunnyvale, CA (onsite)
• Contract type: 12-month W2 hourly contract with potential for extension
• Pay: $60.00 to $69.55 per hour

Benefits

• W2 contract; no PTO; no benefits
• ACA‑compliant supplemental package available for enrollment