Procurement/Supply Chain - Senior. Supply Chain Data Scientist

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

The Senior Supply Chain Data Scientist is responsible for building and optimizing machine learning and statistical models that improve demand predictability, inventory decisions, and supply chain responsiveness. This position requires strong modeling and coding skills, and the ability to translate complex data into clear business insights that drive impact. Develop and optimize machine learning and statistical models, including time-series forecasting and hyperparameter optimization, to improve demand forecast accuracy for operational use. Build robust data and ETL pipelines, develop data visualizations, and automate model training, deployment, and monitoring using MLOps practices to deliver reliable, scalable forecasts and actionable supply chain insights. Collaborate with business stakeholders to understand their challenges and translate complex analytical results into actionable recommendations. Understand supply chain processes and build AI agent pipelines to automate routine workflows and support faster, more effective decision-making.

The essential requirements of the job include:

• Bachelor s degree in computer science, Computer Engineering, Data Science, Statistics or relevant technical field with 5+ years of related work experience OR Master s degree in field with 3+ years of related work experience OR Doctoral degree in field with 0-2 years of work experience.
• 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.
• It would be a plus if you also possess previous experience in Supply chain optimization inventory, transportation, sourcing, distribution, fulfillment, planning, etc.
• Writing high-performance code and deploying algorithms in a production environment.
• Building AI pipelines for operational use.

EEO Employer LanceSoft is a certified Minority Business Enterprise (MBE) and an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. LanceSoft makes hiring decisions based solely on qualifications, merit, and business needs at the time.