Senior Supply Chain Data Scientist - Forecasting & AI

Lancesoft; Sunnyvale (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

LanceSoft—Senior Supply Chain Data Scientist role in Sunnyvale, CA—focus on building and optimizing ML and statistical models to improve demand forecasts, inventory decisions, and supply chain responsiveness. You will design robust data pipelines, automate model training, deployment, and monitoring using MLOps practices, and translate analytical results into actionable business recommendations.

The ideal candidate has strong Python/SQL skills, experience in time-series forecasting, and a

Qualifications

• Bachelor's degree in CS/CE/Data Science or related field with 5+ years of experience, or Master's with 3+ years, or Doctoral degree with 0–2 years.
• Strong hands-on proficiency in Python and SQL, with solid machine learning and deep learning expertise.
• Experience with ETL and data engineering, statistics, time-series forecasting, feature engineering, hyperparameter optimization, and model validation.
• Ability to communicate analytical results clearly to technical and non-technical audiences, and to continuously improve solutions based on feedback.
• Nice to have experience in supply chain optimization across inventory, transportation, sourcing, distribution, fulfillment, planning, etc.
• Writing high-performance code and deploying algorithms in a production environment; building AI pipelines for operational use.

Responsibilities

• Build and optimize machine learning and statistical models to improve demand forecast accuracy for operational use.
• Develop and optimize data pipelines, data visualizations, and automate model training, deployment, and monitoring using MLOps practices.
• Collaborate with business stakeholders to translate complex analytical results into actionable recommendations.
• Understand supply chain processes and build AI agent pipelines to automate routine workflows and support faster decision-making.

Skills

Python

SQL

Machine learning

Deep learning

Time-series forecasting

ETL

Data engineering

Education

Bachelor's degree

Master's degree

Doctoral degree

Job description

LanceSoft—Senior Supply Chain Data Scientist role in Sunnyvale, CA—focus on building and optimizing ML and statistical models to improve demand forecasts, inventory decisions, and supply chain responsiveness. You will design robust data pipelines, automate model training, deployment, and monitoring using MLOps practices, and translate analytical results into actionable business recommendations.

The ideal candidate has strong Python/SQL skills, experience in time-series forecasting, and a