Senior Data Scientist

Direct Supply•Milwaukee, WI

18h•Onsite

About The Position

Direct Supply, Inc. is currently seeking a Senior Data Scientist to develop, deploy and manage Generative Artificial Intelligence and Machine Learning Operations (AI/ML) solutions that address complex business challenges in Milwaukee, WI. Duties include: Partner with cross functional teams Business Analysts, Engineers, Data Scientists and university researchers to design experiments, build and implement scalable IA solutions; Understand scope, validate requirements, and translate business problems into data science problem statements; Solve business models algorithmically using econometric approaches (zero-sum games, multi-market models, optimization); Create and maintain AI/ML solutions on programming platforms (Spark/Scala, R, Python, Hadoop) and utilize big data/cloud solutions (AWS, Azure); Deploy AI machine vision, natural language processing, and voice solutions in cloud-based production environments as a service on cloud platforms; Use querying languages like SQL to perform data analysis and validate solutions using data structures and external data sets; Build data pipelines and leverage database technologies to troubleshoot, retrain, analyze and update AI/ML implementations (Kafka, Storm, MS SQL Server, Neo4J, HDFS, Redshift, S3 etc.); Build presentations, reporting and visualizations for business consumption using Rmarkdown, shiny server, bokeh, matplotlib, and ggplot; and Leverage open source/off the shelf Generative AI models to create Minimal Viable Products. The minimum requirements for the Senior Data Scientist position are a Masters’ Degree (or foreign equivalent) in Computational Science, Computer Science, Computer Engineering, Mathematics, Statistics; or a related degree; and 3 years data-driven consultation experience gained through any combination of Post-Master’s-level assistantship, research or professional experience which must include (and can be gained concurrently): 3 years using programming tools: R, MATLAB, or Python; 3 years using database technologies: SQL Server, Postgres, MongoDB or Neo4j; 2 years building or researching AI/ML solutions using ML Engineering frameworks: PyTorch, TensorFlow, Flask, or Huggingface, and tools: AWS Sagemaker, Colab, Pandas, Numpy, OpenCV, Scikit-learn, Docker or MLFlow in an AWS or Azure cloud environment; 2 years working with data visualization tools Tableau or Shiny; and 2 years using statistical learning approaches: dimension reduction, sampling, cross validation, support vector machines, or generalized linear models. Pre-employment drug test required. Candidate must have references for work experience that confirm experience. Candidates will also be subject to a criminal background check, and may be rejected if criminal convictions are substantially related to the position applied for, in accordance with applicable law. For more information, contact or reply by résumé to Becky Ryan, HR Specialist, Direct Supply, Inc., 7301 W. Champions Way, Milwaukee, WI 53223 (Phone) 312-622-1339 (E-mail) [email protected] #LI-DNI Job to be performed in the location listed. Generous benefit package available. Click here to learn more. Direct Supply, Inc. and its U.S. subsidiaries are equal opportunity and affirmative action employers committed to diverse workforces. © 2013 to 2026 Direct Supply, Inc. All rights reserved. Direct Supply delivers solution-driven platforms, products and services to help solve the toughest challenges facing Senior Living and Healthcare. For more than 35 years, we’ve grown consistently while expanding our offering of innovative solutions for virtually every critical area of senior health across the continuum of care. If you asked our 1,200+ Partners what separates Direct Supply from other applied technology companies, it’s that we are 100% employee owned and driven to work with a purpose. Every day, we strive to honor our mission of enhancing the lives of millions of seniors and healthcare professionals in a results-oriented agile environment that gives our Partners the necessary tools and flexibility to truly bring what’s next to Healthcare. Ready to make a difference?

Requirements

Masters’ Degree (or foreign equivalent) in Computational Science, Computer Science, Computer Engineering, Mathematics, Statistics; or a related degree
3 years data-driven consultation experience gained through any combination of Post-Master’s-level assistantship, research or professional experience which must include (and can be gained concurrently): 3 years using programming tools: R, MATLAB, or Python
3 years using database technologies: SQL Server, Postgres, MongoDB or Neo4j
2 years building or researching AI/ML solutions using ML Engineering frameworks: PyTorch, TensorFlow, Flask, or Huggingface, and tools: AWS Sagemaker, Colab, Pandas, Numpy, OpenCV, Scikit-learn, Docker or MLFlow in an AWS or Azure cloud environment
2 years working with data visualization tools Tableau or Shiny
2 years using statistical learning approaches: dimension reduction, sampling, cross validation, support vector machines, or generalized linear models

Responsibilities

Partner with cross functional teams Business Analysts, Engineers, Data Scientists and university researchers to design experiments, build and implement scalable IA solutions
Understand scope, validate requirements, and translate business problems into data science problem statements
Solve business models algorithmically using econometric approaches (zero-sum games, multi-market models, optimization)
Create and maintain AI/ML solutions on programming platforms (Spark/Scala, R, Python, Hadoop) and utilize big data/cloud solutions (AWS, Azure)
Deploy AI machine vision, natural language processing, and voice solutions in cloud-based production environments as a service on cloud platforms
Use querying languages like SQL to perform data analysis and validate solutions using data structures and external data sets
Build data pipelines and leverage database technologies to troubleshoot, retrain, analyze and update AI/ML implementations (Kafka, Storm, MS SQL Server, Neo4J, HDFS, Redshift, S3 etc.)
Build presentations, reporting and visualizations for business consumption using Rmarkdown, shiny server, bokeh, matplotlib, and ggplot
Leverage open source/off the shelf Generative AI models to create Minimal Viable Products