Cortex Consultants LLC
Senior Optimization Scientist - 10+ Years Experience
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Optimization Scientist with 10+ years of experience, focusing on supply chain optimization. It is a remote contract position with a pay rate of "unknown". Key skills include Python, statistical methods, and optimization techniques. A Master's or PhD in a related field is required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
December 10, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Spark (Apache Spark) #Libraries #Data Science #Mathematics #Datasets #Python #SQL (Structured Query Language) #ML (Machine Learning) #PySpark #Data Analysis #Programming #Computer Science
Role description
Position : Senior Data Scientist - Optimization
Location : Remote
Job Type : Contract
Job Roles and Responsibilities:
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.
Position : Senior Data Scientist - Optimization
Location : Remote
Job Type : Contract
Job Roles and Responsibilities:
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.
