Staff Data Scientist- Python, MLOps

Overview & Scope:

Leading AI-driven Global Supply Chain Solutions Software Product Company and one of Glassdoor's Best Places to Work

We are seeking a highly skilled and motivated Data Science Consultant to join our Supply Chain Management team. The ideal candidate will leverage data-driven insights to optimize supply chain processes, improve decision-making, and drive business results. You will work closely with cross functional teams, utilizing advanced data analytics, machine learning, and optimization techniques to enhance supply chain efficiency, forecast demand, and solve complex operational challenges.

What you'll do:

• Data Analysis & Modeling: Analyze large, complex data sets related to demand forecasting, supply planning to uncover actionable insights.
• Machine Learning: Apply statistical and machine learning techniques to forecast demand which would include
• Data ingestion, data visualization and insights, verifying the integrity of data used for analysis
• Feature engineering, configuring forecasting models
• Fine tune forecasting model
• Present results in a clear manner
• Supply Chain Optimization: Implement optimization algorithms to improve supply chain efficiency, reduce costs, and enhance service levels.
• Consulting & Advisory: Serve as a subject matter expert (SME) for supply chain analytics, advising stakeholders on best practices, tools, and strategies for effective supply chain management.
• Process Improvement: Identify inefficiencies within the supply chain and recommend data-driven strategies for continuous improvement.

What we are looking for:

• Educational Background: Bachelor's or Master's degree in Data Science, Computer Science, Industrial Engineering, Operations Research, Supply Chain Management, or a related field.
• Experience: 10-15 years of experience in data science or Supply Chain Operations Analytics, or worked on forecasting projects leveraging statistical/ML models; experience with data visualization tools
• Technical Skills: Proficiency in data science tools and programming languages such as Python, R, SQL, and experience with supply chain management platforms/processes. Good, applied statistics skills, such as distributions, statistical testing, regression, etc
• Machine Learning: Hands-on experience with machine learning techniques/algorithms (e.g., regression, classification, clustering) and optimization models.
• Industry Knowledge: Familiarity with supply chain processes such as demand forecasting, inventory management, procurement, logistics, and distribution.
• Analytical Thinking: Strong problem-solving skills with the ability to analyze complex data sets and translate insights into actionable recommendations.