Transforming Businesses with AI and Analytics Solutions
Our company is leading the way in providing advanced AI and analytics solutions designed to solve complex challenges for organizations globally. We focus on data-driven, customized strategies to drive success in various industries, particularly in the fast-growing consumer packaged goods (CPG) and retail sectors. With a presence in major cities across the US, UK, India, and Singapore, alongside an expanding remote workforce, we are making significant strides in the market.
Key Responsibilities
- Refactor Algorithms: Improve optimization algorithms in Python utilizing Object-Oriented Programming principles.
- Apply Data Science: Utilize advanced techniques to address supply chain and replenishment challenges.
- Analyze Data: Employ statistical methods to extract actionable insights from extensive datasets concerning inventory and resource allocation.
- Develop Models: Create predictive models and optimization algorithms to enhance inventory management and resource distribution.
- Collaborate: Engage with cross-functional teams to align business objectives with effective data-driven solutions.
- Design Experiments: Plan and conduct experiments to evaluate various replenishment strategies and allocation methods.
- Monitor KPIs: Track key performance indicators related to supply chain management and provide recommendations for improvements.
- Innovate: Stay current with industry trends and best practices to foster innovation within the team.
- Mentor and Learn: Coach a team of experienced Data Scientists while promoting a culture of continuous learning.
Qualifications
- Experience: A minimum of 5 years as a Data Scientist, focusing on supply chain optimization and inventory allocation.
- Education: Advanced degree (MS or PhD) in Operations Research, Industrial Engineering, Mathematics, or a related discipline.
- Technical Skills: Proficiency in mathematical programming solvers (e.g., Gurobi, Xpress MP, CPLEX, Google OR Tools) and strong programming skills in Python, Pyspark, SQL, along with familiarity in data analysis and machine learning libraries.
- Analytical Skills: Solid understanding of statistical methods, optimization techniques, and predictive modeling.
- Communication: Ability to translate complex data insights into practical business solutions while clearly communicating with various stakeholders.
Why Consider This Opportunity?
- Career Growth: Significant opportunities for professional development in a dynamic environment.
- Impactful Work: Contribute to driving innovation and optimizing processes for leading companies.
- Flexible Work Options: Benefit from the flexibility of remote work as part of a diverse, global team.
If you are passionate about utilizing your data science expertise to enhance supply chains and foster innovation, we invite you to explore this opportunity with us!
Employment Type: Full-Time