What are the responsibilities and job description for the Data Scientist position at Links Technology Solutions, Inc.?
Links Technology Solutions is currently seeking an experienced Data Scientist to fill an opening with an Information Technology company.
Responsibilities of the Data Scientist
The information below covers the role requirements, expected candidate experience, and accompanying qualifications.
As a member of the Data Science & Innovation team within our dynamic Business Transformation Office, you'll be crafting innovative AI capabilities for our client’s supply chain.
Your role is pivotal in developing cloud-based AI products, using a rich toolbox of techniques from NLP, Machine Learning, and Optimization to address pressing business questions.
You'll design scalable decision support systems that empower strategic growth and enhance our supply chain operations.
Qualifications of the Data Scientist
Master's degree or equivalent experience in Industrial Engineering, Operations Research, Statistics, Computer Science or a similar field with 4 years of experience or PhD with 1 years of related experience.
Proficiency in coding with general-purpose programming languages like Python / R and a thorough understanding of programming abstraction concepts.
Solid knowledge of Machine Learning algorithms and Statistical Modeling, alongside a proven track record to design and architect scalable ML solutions adept at handling real-world data intricacies.
Well-versed in data manipulation and analysis, with a firm grasp of algorithms and data structures, contributing to a robust software development lifecycle.
Demonstrated practical experience in architecting and implementing cloud based AI products using both open-source and commercial solvers with a solid grasp of cloud services and infrastructure.
Experience in creating Generative AI language applications.
Comprehensive understanding of MLOps processes, ensuring best practices are met.
Deep understanding of solving operations research problems, particularly adept in constrained linear programming.
Experience with graph-based machine learning systems for modeling and optimizing complex networks.
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