Staff Data Scientist I - Python, R & ML

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: 5-12 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.
• Personal competencies
• Ability to work independently and as part of a team in a consulting environment.
• Attention to detail, with the ability to manage large data sets and complex analysis.
• Communication: Excellent verbal and written communication skills to present findings clearly to non-technical stakeholders.