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 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.
Our Values
If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success and the success of our customers. Does your heart beat like ours Find out here: Core ValuesAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
