Data Scientist

System One; Minneapolis (MN); On-site; USD 120,000 - 170,000; Full time

Job summary

System One in Minneapolis, MN is seeking a Data Scientist with 5+ years to design, build, and deploy production-grade ML models embedded in our enterprise products and systems.

You will bridge data science and software engineering by writing clean, modular Python code, wrapping models into microservices, and exposing them via RESTful APIs for real-time inference within production pipelines.

Qualifications

• 5-7+ years of professional ML/AI experience in enterprise settings.
• Production-grade model deployment and monitoring experience.
• Strong Python coding beyond notebooks and in production.
• Experience with REST APIs and containerization.

Responsibilities

• Design, train, and validate ML models (regression, classification, time-series, neural networks) for production use.
• Write scalable Python code to wrap models into microservices and expose via REST APIs for real-time inference.
• Build automated preprocessing, feature engineering, and model evaluation pipelines using CI/CD and MLOps best practices.
• Track model performance, data drift, and latency in production.
• Collaborate with leadership and architects to define AI/ML product roadmap.

Skills

Python

Machine learning

REST APIs

SQL

PyTorch/TensorFlow

Docker

Git/GitHub Actions

CI/CD

PEP 8 coding

Education

Bachelor's or Master’s in CS/DS/Statistics/Applied Math

Tools

scikit-learn

XGBoost

LightGBM

Statsmodels

FastAPI/Flask

Job description

Job Title: Data Scientist
Location: Minneapolis, MN
Job Summary:
System One is seeking a Data Scientist with 5+ years of hands-on experience to design, build, and deploy production-grade machine learning models. In this role, you will bridge the gap between traditional data science and software engineering by writing clean, modular Python code to build robust AI capabilities embedded directly into our enterprise products and systems.

Responsibilities

• Design, train, and validate traditional predictive and analytical machine learning models (regression, classification, decision trees, time-series, and neural networks).
• Write scalable, production-grade Python code to wrap models into microservices and expose them via RESTful APIs for real-time inference.
• Build and maintain automated data preprocessing, feature engineering, and model evaluation pipelines using CI/CD and MLOps best practices.
• Track model performance, data drift, and latency in production, ensuring reliability and accuracy over time.
• Collaborate directly with executive leadership, product directors, and enterprise architects to define the AI/ML product roadmap.

Requirements

• 5-7+ years of progressive professional experience designing, shipping, and maintaining complex ML/AI solutions in enterprise production environments.
• Experience building and deploying machine learning models in a production environment.
• Strong practical experience with core ML algorithms (scikit-learn, XGBoost, LightGBM, statsmodels, PyTorch, or TensorFlow).
• Demonstrated capability in writing clean, PEP 8-compliant, modular, and object-oriented Python code (beyond Jupyter notebooks).
• Experience using automated testing frameworks (pytest, unittest) and writing unit/integration tests.
• Hands-on experience developing RESTful APIs using frameworks like FastAPI or Flask.
• Familiarity with containerization technologies (Docker) and version control workflows (Git, GitHub Actions, or GitLab CI/CD).
• Advanced SQL proficiency and experience querying structured and unstructured datasets.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related quantitative field.

Preferred Qualifications

• Generative AI & Enterprise LLMs: Hands-on experience developing, fine-tuning (LoRA/QLoRA), or deploying proprietary Large Language Models (LLMs), agentic frameworks, custom embeddings, or enterprise RAG systems.
• Experience with GPU acceleration frameworks (CUDA, TensorRT, vLLM, Ollama).
• Demonstrated leadership in mentoring teams and defining enterprise data and AI governance policies.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

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Ref: #431-IT Tampa