Staff Data Science Consultant - Python, R & ML

• 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 crossfunctional

• 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.