Senior Data Scientist, Supply Chain

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September 24

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Tiger Analytics

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Artificial Intelligence • B2B • Consulting

Tiger Analytics is a leading AI and analytics consulting firm that specializes in leveraging data science and machine learning to provide strategic business insights across various industries. They offer services in data strategy, AI engineering, and business intelligence to enable data-driven decision-making and digital transformation for their clients. Tiger Analytics collaborates with top technology partners like Microsoft, Google Cloud, and AWS to deliver cutting-edge solutions. They serve a diverse range of sectors including consumer packaged goods, healthcare, and finance, helping businesses operationalize insights and differentiate with AI and machine learning technologies.

1001 - 5000 employees

Founded 2011

🤖 Artificial Intelligence

🤝 B2B

📋 Description

• Collaborate with business partners to develop innovative solutions using cutting edge techniques and tools. • Design and implement graph-based models to analyze, optimize, and improve supply chain networks. • Apply advanced data science techniques to identify patterns, inefficiencies, and bottlenecks across logistics and operations. • Build scalable data pipelines and analytical models using PySpark for large-scale supply chain datasets. • Develop predictive and prescriptive models to support decision-making in demand forecasting, routing, and inventory management. • Collaborate with cross-functional teams including operations, product, and engineering to translate business challenges into analytical solutions. • Communicate insights and recommendations through data storytelling, visualizations, and presentations. • Identify and develop long-term processes, frameworks, tools, methods and standards; share knowledge across the enterprise. • Collaborate, coach, and learn with a growing team of experienced Data Scientists. • Stay connected with external sources of ideas through conferences and community engagements.

🎯 Requirements

• 8+ years of professional experience in Data Science, Analytics, or related roles. • Proven expertise in Graph Theory applications; hands-on experience with the NetworkX package strongly preferred. • Strong programming skills in Python with demonstrated use of scientific computing libraries (NumPy, Pandas, SciPy, scikit-learn, etc.). • Experience with PySpark for large-scale data processing and analytics. • Practical exposure to supply chain domain problems such as logistics, distribution networks, or demand planning. • Strong analytical, problem-solving, and communication skills. • Experience developing models from inception to deployment.

🏖️ Benefits

• This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. • Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.