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Machine Learning Manager Jobs in Cottage Grove, MN

Data Science / Machine Learning Project-level containerized stacks managed through Nexus Coco+ and VSCode as primary IDE/tooling environments Snowflake Azure ChatGPT A proprietary DataScience CLI ...

Senior Data Scientist

Minneapolis, MN · On-site

$120 - $180/hr

Machine Learning * Data Mining * Statistical Modeling * Data Application Design * Exploratory Data Analysis * Automated Data Pipelines * Data Accuracy Monitoring * Complex Dataset Management * Best ...

As a Manager, you will enhance your leadership style by motivating, developing, and inspiring ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

Industry/Sector Not Applicable Specialism IFS - Information Technology (IT) Management Level ... Those in data science and machine learning engineering at PwC will focus on leveraging advanced ...

... machine learning algorithms and predictive modeling techniques - Collaborating with clients to validate outcomes and incorporate feedback into data solutions - Directing teams through complex ...

... Management Information Systems, Information Technology - At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud ...

Do you enjoy combining software engineering, analytics, machine learning, and Generative AI to ... Collaborate closely with software engineers, product managers, project managers, analysts, and ...

Showing results 41-60

Machine Learning Manager information

See Cottage Grove, MN salary details

$53.2K

$85.2K

$123K

How much do machine learning manager jobs pay per year?

As of Sep 1, 2026, the average yearly pay for machine learning manager in Cottage Grove, MN is $85,157.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,800.00 and $96,400.00 per year, depending on experience, location, and employer.

What is a machine learning manager?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.

What are the key skills and qualifications needed to thrive as a machine learning manager?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

What are some of the main challenges a machine learning manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

Is machine learning a high paying job?

Machine Learning Managers typically earn high salaries due to their specialized skills in data analysis, programming, and model development. Compensation varies based on experience, location, and industry, but it is generally considered a well-paying role within the tech sector.

What are the most commonly searched types of Machine Learning jobs in Cottage Grove, MN?

The most popular types of Machine Learning jobs in Cottage Grove, MN are:

What cities near Cottage Grove, MN are hiring for Machine Learning Manager jobs?

Cities near Cottage Grove, MN with the most Machine Learning Manager job openings:

Infographic showing various Machine Learning Manager job openings in Cottage Grove, MN as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $85,157 per year, or $40.9 per hour.

Data Scientist

Conch Technologies

Minneapolis, MN • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Hi  
Greetings from Conch Technologies Inc
Position:  Data Scientist
LOCATION: Hybrid Minneapolis, MN 
REMOTE in following states: AR, AZ, DE, FL, GA, IA, IL, KS, KY, MD, ME, MI, MN, MO, ND, NE, OK, SD, TN, TX, VA, WI
DURATION: 6+ Months Contract
 
Technical Skills Required:
Data Science / Machine Learning
Project-level containerized stacks managed through Nexus
Coco+ and VSCode as primary IDE/tooling environments
Snowflake
Azure
ChatGPT
A proprietary DataScience CLI providing tooling, libraries, and access management
Standard libraries packaged through the DataScience CLI and Nexus
Required qualifications
Bachelor’s degree or equivalent experience in Data Science, Statistics, Computer Science, Engineering, Applied Mathematics, or a related quantitative field.
3+ years of professional experience beyond degree in data science, machine learning, advanced analytics, statistical modeling, or a related technical discipline.
Experience developing machine learning or statistical solutions for complex, real-world business problems.
Experience with techniques applicable to anomaly detection, pattern recognition, classification, clustering, time-series analysis, or predictive modeling.
Proficiency in at least one programming language commonly used for data science and machine learning, such as Python, R, or SAS.
Strong SQL skills and experience working with large relational or analytical data platforms.
Experience using source control and collaborative software development practices.
Experience developing reusable, maintainable analytical code rather than exclusively notebook-based or ad hoc analyses.
Ability to communicate technical concepts, analytical findings, system behavior, and model limitations to both technical and non-technical stakeholders.
 
Thanks & Regards,
 
Nayak Teketi | US IT Recruiter
 901-317-3453
Conch Technologies, Inc |