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Data Scientist Project Manager Jobs in Minnesota

Overview We are looking for a Data Scientist to join our team to train AI models. You will measure ... Benefits This is a full-time or part-time REMOTE position You'll be able to choose which projects ...

... product management, project management and technologists to execute projects. Required ... Undergraduate degree in Data Science, Mathematics, Statistics or related field and 10+ years of ...

Senior Data Scientist III

Minneapolis, MN · On-site

$115.40K - $192.30K/yr

... product management, project management and technologists to execute projects. Required ... Undergraduate degree in Data Science, Mathematics, Statistics or related field and 10+ years of ...

Performing development at all stages in the data science lifecycle; working autonomously and taking ownership of projects and driving them forward. * Clearly communicating findings to technical and ...

Ability to drive results on multiple simultaneous projects * Experience working with laboratory or manufacturing data * Experience designing experiments (DOE) * Ability to influence management on ...

Ability to drive results on multiple simultaneous projects * Experience working with laboratory or manufacturing data * Experience designing experiments (DOE) * Ability to influence management on ...

You will collaborate with product ,managers, logistic operators and software engineers to turn ... Data Science, Geospatial Data, Geospatial Modeling, Python (Programming Language) Bachelor's Degree ...

Data Scientist

Minneapolis, MN

$77.30K - $128.70K/yr

The Analytic Customer Management team at LexisNexis Risk Solutions delivers actionable insights ... About the Role: We're seeking a Data Scientist to lead predictive modeling and statistical analysis ...

The specific work arrangements vary by role and team, and the recruiter or hiring manager will ... Create a structured data science plan aligned to marketing priorities, partner with cross ...

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Data Scientist Project Manager information

What are the key skills and qualifications needed to thrive as a Data Scientist Project Manager, and why are they important?

To thrive as a Data Scientist Project Manager, you need a solid background in data science, analytics, and project management, often supported by degrees in computer science, statistics, or business and certifications like PMP or Agile. Familiarity with tools such as Python, R, SQL, project management software (e.g., Jira, Trello), and cloud platforms is crucial. Excellent communication, leadership, and problem-solving abilities help bridge gaps between technical teams and stakeholders. These skills ensure successful project delivery by aligning data-driven insights with business objectives and effective team coordination.

How do Data Scientist Project Managers typically balance technical data work with project management responsibilities?

Data Scientist Project Managers often split their time between hands-on data analysis and overseeing project progress. They commonly coordinate with cross-functional teams, set project timelines, and ensure that data solutions align with business objectives while occasionally contributing code or analytical insights. Effective communication and time management are essential, as they must bridge the gap between technical teams and stakeholders. This dual responsibility offers exposure to both technical growth and leadership development, making it ideal for professionals seeking advancement into higher management roles.

What is a Data Scientist Project Manager?

A Data Scientist Project Manager is a professional who oversees data science projects from conception through completion, ensuring that project goals align with business objectives. They bridge the gap between data science teams and stakeholders, managing timelines, resources, and communication. In addition to technical knowledge in data science and analytics, they possess strong project management skills to coordinate tasks, mitigate risks, and deliver results. Their role is essential for translating complex data-driven insights into actionable business strategies. They often use methodologies like Agile or Scrum to guide project workflows and adapt to changing requirements.

What is 90% of a project manager's job?

For a Data Scientist Project Manager, approximately 90% of the job involves planning, coordinating, and overseeing data science projects to ensure timely delivery and alignment with business goals. This includes managing teams, communicating with stakeholders, and utilizing project management tools like Agile or Scrum methodologies.

What is the difference between Data Scientist Project Manager vs Data Analyst Project Manager?

AspectData Scientist Project ManagerData Analyst Project Manager
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related fields; certifications like PMP or AgileBachelor's in Data Analysis, Business, or related fields; certifications like PMP or Agile
Work EnvironmentLeads data science projects, collaborates with data scientists and engineersManages data analysis projects, works with analysts and business teams
Employer & Industry UsageTech companies, finance, healthcare, industries with advanced analyticsRetail, marketing, finance, industries relying on data reporting

The main difference is that Data Scientist Project Managers oversee data science initiatives involving complex modeling and algorithms, while Data Analyst Project Managers focus on managing data reporting and analysis projects. Both roles require project management skills and relevant certifications, but their technical focus and team collaboration differ.

What job categories do people searching Data Scientist Project Manager jobs in Minnesota look for? The top searched job categories for Data Scientist Project Manager jobs in Minnesota are:
What cities in Minnesota are hiring for Data Scientist Project Manager jobs? Cities in Minnesota with the most Data Scientist Project Manager job openings:
Data Scientist -Project Delivery Senior Analyst - AI & Engineering

Data Scientist -Project Delivery Senior Analyst - AI & Engineering

Deloitte

Minneapolis, MN

Other

Posted 7 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

60th of 138 rated financial services


Job description

Data Scientist -Project Delivery Senior Analyst - AI & Engineering  

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Scientist, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client's need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals.

Recruiting for this role ends on June 22nd 2026


Work you'll do/Responsibilities  

 The Data Scientist will analyze, cleanse, and model complex data to help organizations make better decisions and predict future trends.

  • Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management

The Team 

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Qualifications

 Required

  • 4+ years of experience Proficiency with Python, statistical modeling, and machine learning frameworks (e.g. scikit-learn, PyTorch, TensorFlow).
  • 4+ years of experience with feature engineering, model development, validation, and deployment.
  • 4+ years of experience Understanding of MLOps pipelines, model versioning, monitoring, and retraining processes.
  • 4+ years of experience Ability to translate complex business problems into analytical solutions with measurable outcomes.
  • 4+ years of experience Strong knowledge of data wrangling, exploratory analysis, and visualization.
  • 4+ years of experience Familiarity with cloud ML services (e.g. SageMaker, Azure ML, Fabric ML).
  • 4+ years of experience communicating and explaining insights and model behavior to non-technical stakeholders
  • Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
  • Limited immigration sponsorship may be available
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve

Preferred

  • Analytical/ Decision Making Responsibilities
  • Analytical ability to manage multiple projects and prioritize tasks into manageable work products
  • Can operate independently or with minimum supervision
  • Excellent Written and Communication Skills
  • Ability to deliver technical demonstrations

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $72,900-$134,000



Qualifications:

Data Scientist -Project Delivery Senior Analyst - AI & Engineering  

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Scientist, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client's need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals.

Recruiting for this role ends on June 22nd 2026


Work you'll do/Responsibilities  

 The Data Scientist will analyze, cleanse, and model complex data to help organizations make better decisions and predict future trends.

  • Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management

The Team 

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Qualifications

 Required

  • 4+ years of experience Proficiency with Python, statistical modeling, and machine learning frameworks (e.g. scikit-learn, PyTorch, TensorFlow).
  • 4+ years of experience with feature engineering, model development, validation, and deployment.
  • 4+ years of experience Understanding of MLOps pipelines, model versioning, monitoring, and retraining processes.
  • 4+ years of experience Ability to translate complex business problems into analytical solutions with measurable outcomes.
  • 4+ years of experience Strong knowledge of data wrangling, exploratory analysis, and visualization.
  • 4+ years of experience Familiarity with cloud ML services (e.g. SageMaker, Azure ML, Fabric ML).
  • 4+ years of experience communicating and explaining insights and model behavior to non-technical stakeholders
  • Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
  • Limited immigration sponsorship may be available
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve

Preferred

  • Analytical/ Decision Making Responsibilities
  • Analytical ability to manage multiple projects and prioritize tasks into manageable work products
  • Can operate independently or with minimum supervision
  • Excellent Written and Communication Skills
  • Ability to deliver technical demonstrations

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $72,900-$134,000



Education:Bachelor's DegreeEmployment Type:

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