Highlights
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. 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.
Numbers & Facts
| Location | Sunnyvale, CA |
| Industry | Staffing/Employment Agencies |
| Salary | $69.31 |
| Company Size | 2,000 to 2,499 employees |
| Year Founded | 2000 |
| Website | http://www.lancesoft.com/ |
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.
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.
About Company
We are a $125 Million, NMSDC-certified Minority & Woman owned Workforce Solutions Company headquartered in the DC metro area with presence across US with global presence - Canada, Mexico, India, UK, Malaysia, Indonasia, Hongkong, Singapore, UAE. We are specialized in providing Workforce Solutions, SOW project delivery, Engineering Solutions, Creative Services. We currently support 100+ Fortune companies globally and across multiple industry segments. We are currently supporting several massive programs across industry segment nationally/globally (Intel, Ally, AMD, QUALCOMM, Morgan Stanley, Kraft/ Mondelez, MNP, Amdocs, Dell, SanDisk, Medtronic, Becton Dickinson, GE, Lockheed Martin, UTC, L-3 Communications, Caterpillar, BMW, Mercedes Benz, National Grid, Dominion, Energy Future Holdings, PSEG, 3M, Fidelity, Aetna, Humana, Johnson & Johnson, Pfizer, Merck etc).
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender, identity, national origin, disability, or protected veteran status.