Senior Data Scientist Remote

ESR Healthcare; United States; Hybrid; USD 100,000 - 130,000; Full time

Job summary

A leading healthcare analytics firm is seeking a Senior Data Scientist to join their remote team. The ideal candidate will possess 10+ years of experience in data science with a strong focus on supply chain optimization and inventory allocation. Responsibilities include optimizing algorithms in Python, developing predictive models, and collaborating with cross-functional teams to drive data-driven solutions. Candidates should have an advanced degree and proficiency in statistical methods and programming languages such as Python and SQL. This is an exciting opportunity to influence innovative solutions in a market-leading firm.

Qualifications

• 10+ years experience in Data Science focusing on supply chain optimization.
• Proven experience with optimization frameworks and statistical methods.
• Strong programming skills in Python and SQL.

Responsibilities

• Refactor optimization algorithms in Python.
• Analyze datasets to derive insights for inventory management.
• Develop predictive models for resource allocation.

Skills

Data analysis

Machine learning

Statistical methods

Python programming

Optimization techniques

Education

MS or PhD in relevant field

Tools

Gurobi

CPLEX

Python libraries

Job description

Senior Data Scientist Remote

Need 15+ Years candidates

pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce. We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.

Key Responsibilities

• Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming
• Work on the latest applications of data science to solve business problems in the Supply chain and optimization space of Retail and/or CPG.
• Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights related to replenishment optimization and inventory allocation.
• Develop and implement predictive models and optimization algorithms to improve inventory management, reduce stockouts, and optimize resource allocation across the supply chain.
• Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
• Design and execute experiments to evaluate the effectiveness of different replenishment strategies and allocation policies.
• Monitor and analyze key performance indicators (KPIs) related to replenishment and supply chain allocation, and provide recommendations for continuous improvement.
• Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization.
• Collaborate, coach, and learn with a growing team of experienced Data Scientists.

Requirements

• Proven experience 10+ years working as a Data Scientist, with a focus on supply chain optimization and inventory allocation.
• MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related field.
• Experience with using mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR Tools in applications.
• Solid understanding of statistical methods, optimization techniques, and predictive modelling concepts.
• Strong proficiency in programming languages such as Python, Pyspark and SQL, and experience working with data analysis and machine learning libraries.
• Ability to apply various analytical models to business use cases
• Exceptional communication and collaboration skills to understand business partner needs and deliver solutions and explain to business stakeholders.