Senior TPM, Supply Chain Planning & Analytics

TechDigital Group; San Jose (CA); On-site; USD 110,000 - 140,000; Full time

Job summary

A technology solutions provider based in San Jose, California is seeking an experienced Technical Program Manager to lead supply chain planning initiatives using Kinaxis Rapid Response. The ideal candidate will have over 8 years of experience in supply chain planning, including proficiency in data management and analytics. This position requires hands-on experience with advanced technologies to enhance processes and drive improvements. Strong business process knowledge and excellent people skills are essential.

Qualifications

• 8+ years of experience in Supply Chain Planning Solutions.
• 4+ years of experience in Kinaxis Rapid Response.
• Hands-on experience with data modeling and analytics in Kinaxis.

Responsibilities

• Manage supply chain planning solutions using Kinaxis RR.
• Design and deploy advanced technologies for supply chain challenges.
• Implement continuous process improvements.

Skills

Supply Chain Planning

Kinaxis Rapid Response

Data Management

Inventory Optimization

Sales and Operations Planning

Education

UG or PG in Computer Science, Management Information Systems, Management Accounting, Business Administration

Tools

Kinaxis RR

SAP

Job description

Job Summary

• The Senior Machine Learning Analyst will play a critical role in designing, developing, and optimizing machine learning models to deliver actionable insights.
• This role requires strong expertise in Python, TensorFlow, and advanced data analysis techniques, with a focus on solving complex business problems and enabling data-driven decision-making.

Key Responsibilities

• Model Development & Optimization Build, train, and deploy machine learning models using Python, TensorFlow, and other ML frameworks.
• Optimize models for accuracy, scalability, and performance.
• Data Analysis & Insights Analyze large structured and unstructured datasets to identify trends, patterns, and anomalies.
• Apply statistical and predictive modeling techniques to generate business insights.
• Collaboration & Stakeholder Management Work closely with cross-functional teams (engineering, product, business) to translate requirements into ML solutions.
• Present findings and recommendations to stakeholders in clear, actionable formats.
• Quality & Standards Ensure adherence to coding standards, documentation, and reproducibility of ML pipelines. Conduct model validation, testing, and monitoring to maintain reliability.

Qualifications Education:

• Bachelor's or master's in computer science, Data Science, Statistics, or related field.
• Experience: Minimum 5+ years in machine learning, data science, or advanced analytics.

Technical Skills:

• Strong proficiency in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).
• Experience with SQL, data visualization tools (Power BI, Tableau). Knowledge of cloud platforms (AWS, Azure, GCP) for ML deployment.
• Familiarity with NLP, deep learning, and big data frameworks (Spark, Hadoop) is a plus.

Desired Competencies

• Strong problem-solving and analytical skills.
• Ability to communicate complex technical concepts to non-technical stakeholders.
• Experience in agile development and working with distributed teams.
• Passion for continuous learning and staying updated with ML/AI advancements.