Associate Data Scientist II
Job in
Saint Louis, St. Louis city, Missouri, 63144, USA
Listed on 2026-06-11
Listing for:
Kforce
Full Time
position Listed on 2026-06-11
Job specializations:
-
IT/Tech
Data Analyst, Data Scientist, Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Job Description & How to Apply Below
Overview:
This role focuses on using data to help the business make smarter decisions. The position works across multiple departments to analyze information, identify trends, and build tools that improve performance and efficiency.
Key Responsibilities:
* Analyze data from areas such as sales, finance, operations, and supply chain to uncover insights and trends
* Develop models and tools that help predict outcomes (e.g., demand, costs, or performance)
* Partner with business teams to understand challenges and translate them into data-driven solutions
* Deliver clear, actionable insights that support better decision-making
* Build and maintain analytics or AI-driven solutions that can be used by a wide range of stakeholders
* Continuously improve forecasts, reporting, and recommendations based on new data
* Stay current on new analytics and technology approaches and help introduce them where valuable
* Bachelor's degree in Computer Science, Management Information Systems, Economics, Finance, Business, Mathematics, Statistics, or other quantitative subject required, advanced degree preferred
* 3+ years of experience with collaborative data science or data analytic projects with technical and non-technical stakeholders, driving and communicating tangible business value succinctly
* Functional experience in an object-oriented programming language (Python 3.x preferred)
* Knowledge of software design (libraries, classes, functions), testing (logging, debugging), and versioning (Git, continuous deployment)
* Experience with machine learning platforms and cloud computing (e.g., Microsoft Azure ML (preferred), Amazon Sage Maker, Google Vertex AI)
* Strong problem-solving and analytical thinking skills
* Ability to work with large sets of data and translate findings into business insights
* Experience collaborating with cross-functional teams
Position Requirements
10+ Years
work experience
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