Senior Data Scientist Remote

ESR Healthcare; Remote; EUR 80.000 - 100.000; Vollzeit

Zusammenfassung

A leading healthcare analytics firm is seeking a Senior Data Scientist to work remotely. The ideal candidate will have 10+ years of experience, specializing in supply chain optimization and inventory allocation. Responsibilities include utilizing advanced data science techniques to analyze large datasets and developing predictive models to enhance inventory management. Strong proficiency in Python, along with a relevant MS or PhD degree, is required for this role, making it ideal for seasoned data professionals looking to make an impact in a growing field.

Qualifikationen

• Proven experience 10+ years in Data Science focused on supply chain.
• Strong coding proficiency in Python, Pyspark, SQL.
• Understanding of optimization techniques and predictive modeling.

Aufgaben

• Refactor optimization algorithms in Python.
• Utilize data science to improve supply chain problems.
• Develop predictive models for inventory management.

Kenntnisse

Data analytics background

Coding in Python

Statistical analysis

Collaboration and communication

Ausbildung

MS or PhD in Computer Science

Tools

Python

Pyspark

SQL

Mathematical programming solvers

Jobbeschreibung

Senior Data Scientist Remote

Senior Data Scientist
Remote
Need 15+ Years candidates
Description:

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. We are looking for a Senior Data Scientist with a good blend of data analytics background, practical experience in optimizing replenishment strategies and allocating resources within supply chains, and strong coding capabilities to add to our team.

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.