Tiger Analytics is looking to solve complex business problems in supply chain optimization for multiple Fortune 500 companies
Requirements
- 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.
- Experience developing models from inception to deployment
- Strong analytical, problem-solving, and communication skills.
- 8+ years of professional experience in Data Science, Analytics, or related roles.
- Experience with advanced data science techniques
Responsibilities
- Collaborate with business partners to develop innovative solutions to meet objectives utilizing 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 areas such as 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 clearly to stakeholders through data storytelling, visualizations, and presentations.
Other
- 8+ years of professional experience
- Strong analytical, problem-solving, and communication skills.
- Collaborate, coach, and learn with a growing team of experienced Data Scientists.
- Share your passion for Data Science with the broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards.
- Stay connected with external sources of ideas through conferences and community engagements
