

STM Consulting, Inc.
Senior Manager / Lead Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Manager / Lead Data Scientist in Santa Clara, CA (Hybrid) on a contract basis. Requires 10–15 years of Data Science experience, strong Python and SQL skills, and expertise in demand forecasting within supply chain analytics.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
March 24, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Santa Clara, CA
-
🧠 - Skills detailed
#Leadership #Data Science #Azure #Python #ML (Machine Learning) #Scala #Cloud #Forecasting #AWS (Amazon Web Services) #MLflow #SciPy #Deployment #Regression #GCP (Google Cloud Platform) #Data Engineering #Pandas #Monitoring #SQL (Structured Query Language) #NumPy #Consulting
Role description
We’re Hiring: Senior Manager / Lead Data Scientist – Supply Chain & Demand Forecasting
Location: Santa Clara, CA (Hybrid)
Employment Type: Contract
Visa-independent candidates are highly preferred.
We are looking for a high-impact Data Science leader to drive the design, development, and deployment of advanced machine learning solutions for demand forecasting and root cause analytics within a supply chain environment.
This role combines hands-on technical depth with strategic leadership, making it ideal for professionals who enjoy building production-grade ML systems while guiding teams and influencing business decisions.
What You’ll Do
• Architect and implement end-to-end ML pipelines (data → modeling → deployment → monitoring)
• Lead development of time-series forecasting and probabilistic models
• Apply advanced techniques such as gradient boosting (XGBoost, LightGBM) and quantile regression
• Drive root cause analysis frameworks for supply chain demand variability
• Collaborate with cross-functional stakeholders across business, IT, and analytics
• Lead and mentor a distributed team of data scientists (US & offshore)
• Present insights and recommendations to senior leadership (VP/C-level)
What We’re Looking For
• 10–15 years of experience in Data Science / Machine Learning
• Strong expertise in Python (pandas, numpy, scikit-learn, scipy) and ML engineering
• Proven experience with demand forecasting / supply chain analytics
• Deep understanding of:
• Time-series modeling (ACF/PACF, change-point detection)
• Probabilistic forecasting (pinball loss, Winkler score)
• Ensemble methods (GBM, Random Forest)
• Experience building production-grade, scalable ML pipelines
• Strong SQL and data engineering fundamentals
• Experience with MLOps tools (MLflow, DVC) and cloud platforms (AWS/Azure/GCP)
Nice to Have
• Intermittent demand forecasting (Croston, SBA, ADI/CV²)
• Forecast reconciliation (Top-down, Bottom-up, MinT)
• Exposure to S&OP / IBP processes
• Experience in consulting or client-facing roles
Leadership & Impact
• Lead and mentor a team of 3–6 data scientists
• Own delivery timelines and technical quality
• Act as a key bridge between business stakeholders and data science teams
Apply now or reach out directly to learn more at pranav.mehroliya@consultstm.com
#DataScienceJobs #MachineLearningJobs #HiringDataScientists #AIJobs #DataScienceCareers #PythonJobs #MLOps #XGBoost #LightGBM #DataEngineering BayAreaJobs #HiringNow
We’re Hiring: Senior Manager / Lead Data Scientist – Supply Chain & Demand Forecasting
Location: Santa Clara, CA (Hybrid)
Employment Type: Contract
Visa-independent candidates are highly preferred.
We are looking for a high-impact Data Science leader to drive the design, development, and deployment of advanced machine learning solutions for demand forecasting and root cause analytics within a supply chain environment.
This role combines hands-on technical depth with strategic leadership, making it ideal for professionals who enjoy building production-grade ML systems while guiding teams and influencing business decisions.
What You’ll Do
• Architect and implement end-to-end ML pipelines (data → modeling → deployment → monitoring)
• Lead development of time-series forecasting and probabilistic models
• Apply advanced techniques such as gradient boosting (XGBoost, LightGBM) and quantile regression
• Drive root cause analysis frameworks for supply chain demand variability
• Collaborate with cross-functional stakeholders across business, IT, and analytics
• Lead and mentor a distributed team of data scientists (US & offshore)
• Present insights and recommendations to senior leadership (VP/C-level)
What We’re Looking For
• 10–15 years of experience in Data Science / Machine Learning
• Strong expertise in Python (pandas, numpy, scikit-learn, scipy) and ML engineering
• Proven experience with demand forecasting / supply chain analytics
• Deep understanding of:
• Time-series modeling (ACF/PACF, change-point detection)
• Probabilistic forecasting (pinball loss, Winkler score)
• Ensemble methods (GBM, Random Forest)
• Experience building production-grade, scalable ML pipelines
• Strong SQL and data engineering fundamentals
• Experience with MLOps tools (MLflow, DVC) and cloud platforms (AWS/Azure/GCP)
Nice to Have
• Intermittent demand forecasting (Croston, SBA, ADI/CV²)
• Forecast reconciliation (Top-down, Bottom-up, MinT)
• Exposure to S&OP / IBP processes
• Experience in consulting or client-facing roles
Leadership & Impact
• Lead and mentor a team of 3–6 data scientists
• Own delivery timelines and technical quality
• Act as a key bridge between business stakeholders and data science teams
Apply now or reach out directly to learn more at pranav.mehroliya@consultstm.com
#DataScienceJobs #MachineLearningJobs #HiringDataScientists #AIJobs #DataScienceCareers #PythonJobs #MLOps #XGBoost #LightGBM #DataEngineering BayAreaJobs #HiringNow





