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Director Data Science Startup Jobs in Minnesota (NOW HIRING)

In this role, you will bridge the gap between traditional data science and software engineering by ... leadership, product directors, and enterprise architects to define the AI/ML product roadmap.

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred Role Snapshot: * Set the ... Build and lead a high-performing team of data scientists, analysts, and engineers. * Promote a ...

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred Role Snapshot: * Set the ... Build and lead a high-performing team of data scientists, analysts, and engineers. * Promote a ...

Senior Data Analyst

Chanhassen, MN · On-site

$100K - $125K/yr

Lead the migration of IWCO Direct's analytics platform from SQL Server-based data warehouse and ... Bachelor's degree in mathematics, computer science, economics, statistics, data science ...

Senior Data Analyst

Chanhassen, MN

$87K - $110K/yr

Lead the migration of IWCO Direct's analytics platform from SQL Server-based data warehouse and ... Bachelor's degree in mathematics, computer science, economics, statistics, data science ...

Senior Data Analyst

Chanhassen, MN

$87K - $110K/yr

Lead the migration of IWCO Direct's analytics platform from SQL Server-based data warehouse and ... Bachelor's degree in mathematics, computer science, economics, statistics, data science ...

Showing results 21-40

Director Data Science Startup information

What is the difference between Director Data Science Startup vs Data Scientist?

AspectDirector Data Science StartupData Scientist
Required CredentialsAdvanced degree (Master's/PhD), leadership experienceBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentLeadership role overseeing teams, strategic planningHands-on data analysis, model development, research
Employer & Industry UsageStartups, tech companies, innovation-driven firmsVaries from startups to large corporations, research labs
Search & Comparison IntentUnderstanding leadership roles, strategic responsibilitiesTechnical skills, project work, data analysis

The Director Data Science Startup typically holds a leadership position with strategic oversight and team management responsibilities, requiring advanced degrees and experience. In contrast, a Data Scientist focuses on technical data analysis and model development, often with less emphasis on leadership. Both roles are common in startup environments and tech industries, but they differ significantly in scope and responsibilities.

What are the most commonly searched types of Data Science Startup jobs in Minnesota? The most popular types of Data Science Startup jobs in Minnesota are:
What are popular job titles related to Director Data Science Startup jobs in Minnesota? For Director Data Science Startup jobs in Minnesota, the most frequently searched job titles are:
What cities in Minnesota are hiring for Director Data Science Startup jobs? Cities in Minnesota with the most Director Data Science Startup job openings:
Infographic showing various Director Data Science Startup job openings in Minnesota as of June 2026, with employment types broken down into 95% Full Time, 4% Part Time, and 1% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Data Scientist

System One

Minneapolis, MN • On-site

Other

Medical, Dental, Vision, Life, Retirement

Posted 18 days ago


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.

#M-1 #LI-SG1

Ref: #431-IT Tampa