Senior Data Scientist - Optimization
Tiger AnalyticsDallas, Texas, United States • United Kingdom • India • Singapore, Singapore
Posted October 17, 2025
Full Time
About the Company
In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale. Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge Data & AI solutions. We go beyond standard playbooks and best practices, and forge new ones. If you’re keen to reimagine what AI can do for some of the toughest problems out there, come join our team of 5000+ brilliant technologists and consultants. Explore opportunities across our offices in the US, India, Canada, Mexico, UK, Spain, Singapore and Australia.
Job Description
Tiger Analytics is seeking a Senior Data Scientist to optimize replenishment strategies and allocate resources within supply chains. The role involves data analytics, predictive modeling, and collaboration with cross-functional teams, with a focus on optimizing inventory and reducing stockouts in Retail and CPG industries. The company boasts a rapidly growing team of Data Scientists and invests in AI and analytics for Fortune 100 clients.
Requirements
- 10+ years of experience as a Data Scientist, with a focus on supply chain optimization and inventory allocation.
- Strong proficiency in Python, Pyspark, and SQL.
- Solid understanding of statistical methods, optimization techniques, and predictive modelling concepts.
- Exceptional communication and collaboration skills.
Benefits
- Career development
- High degree of individual responsibility
- Entrepreneurial environment
