Principal Data Scientist

Position Overview:

We are seeking a talented and visionary Principal Data Scientist to join our Supply Chain Planning Analytics team. As a Principal Data Scientist, you will play a key role in shaping our long-term strategic direction by providing data-driven insights, conducting in-depth analysis, and developing innovative solutions to drive business growth and competitiveness while communicating business value and innovation potential through effective insights and visualizations. You will collaborate closely with senior leadership, business stakeholders, and cross-functional teams to identify strategic opportunities, assess market trends, and drive strategic initiatives across the organization.

Key Responsibilities: 

Forecasting Models:

• Develop predictive models and analytical frameworks to forecast market demand, assess competitive dynamics, predict demand, optimize inventory levels, and inform strategic decision-making.

• Utilize time series analysis, machine learning, and statistical techniques to improve forecast accuracy.

• Analyze large datasets to identify trends, patterns, and opportunities for improvement in supply planning.

• Build and validate predictive models to forecast inventory needs and minimize stockouts and overstock situations.

• Continuously monitor and refine models to ensure accuracy and reliability.

Inventory Optimization:

• Utilize methods such as linear programming, queuing theory, and simulation to optimize inventory and production workflows.

• Develop optimization models to improve supply planning and logistics.

• Work with the supply chain team to implement inventory optimization strategies.

• Conduct scenario analysis to support decision-making processes.

Component Classification and Segmentation

• Conduct in-depth analysis of internal and external data sources to identify market trends, customer behaviors, and strategic opportunities.

• Collaborate with cross-functional teams to define strategic priorities, establish performance metrics, and track progress against strategic goals.

• Utilize deep learning models such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Transformer models for complex product classification and segmentation tasks.

• Implement prescriptive analytics techniques to recommend actionable insights for product categorization and segmentation, enabling targeted marketing and inventory management strategies.

Supply Planning Optimization:

• Lead strategic data science initiatives to support key business objectives in Inventory Optimization / Planning area.

• Develop optimization models to improve supply planning and logistics.

• Work with the supply chain team to implement inventory optimization strategies.

• Conduct scenario analysis and simulation to support decision-making processes.

Mentor and coach junior team members and contribute to the development of a high-performing and collaborative data science team.

Qualifications:

• Master's degree or related work experience Data Science, Mathematics, Statistics, Operations Research, Computer Science or a related field. PhD a Plus

• 10 -15 years of experience in strategic planning within Supply Chain, business analytics, or a similar role, with a strong focus on data-driven decision-making.

• Proficiency in programming languages such as Python, R, or Scala, and experience with data analysis libraries and frameworks (e.g., pandas, scikit-learn, TensorFlow, PyTorch, PuLP, SciPy, SimPy).

• Experience in advanced forecasting techniques (e.g., ARIMA, Prophet, LSTM)

• Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights and strategic recommendations.

• In-depth supply chain knowledge. 

• Fluent in structured and unstructured data, its management, and modern data transformation methodologies

• Excellent communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders.

• Proven track record of leading strategic initiatives, driving organizational change, and delivering measurable business results.