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Ml Data Associate Jobs in Minnesota (NOW HIRING)

Qualifications Required: * 6+ years of experience delivering AI/ML solutions, with at least 2 year ... Azure AI Engineer Associate, Azure Solutions Architect Expert; AWS Certified Machine Learning ...

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in ...

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary ...

... data pipelines - Contributions to open-source AI/ML projects or hackathons Travel Requirements Up to 60% Job Posting End Date The salary range for this position is: $77,000 - $202,000. Actual ...

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Ml Data Associate information

See Minnesota salary details

$56.3K

$66.6K

$126.3K

How much do ml data associate jobs pay per year?

As of Jul 24, 2026, the average yearly pay for ml data associate in Minnesota is $66,638.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,800.00 and $58,300.00 per year, depending on experience, location, and employer.

What is the salary of ML data operations associate?

The salary of an ML Data Associate typically ranges from $40,000 to $70,000 annually, depending on experience, location, and company size. Entry-level positions may start lower, while experienced professionals with specialized skills in data annotation and machine learning tools can earn higher salaries.

What are the key skills and qualifications needed to thrive as an ML Data Associate, and why are they important?

To thrive as an ML Data Associate, you need strong analytical skills, attention to detail, and a solid understanding of data annotation or labeling, often supported by a degree in a technical field. Familiarity with data labeling tools, basic programming (such as Python), and experience working with machine learning platforms are typically required. Excellent communication, problem-solving abilities, and the capacity to work efficiently in teams are important soft skills. These skills ensure high-quality, accurately labeled datasets that are essential for training effective machine learning models.

What are ML Data Associates?

ML Data Associates are professionals who support machine learning projects by preparing, labeling, and validating data used to train and evaluate algorithms. They often work with large datasets, ensuring data quality and accuracy, and may use specialized tools to annotate images, text, or audio. Their work is essential for enabling machine learning models to learn from high-quality, well-structured data, and they often collaborate with data scientists and engineers to optimize data pipelines.

What is the difference between Ml Data Associate vs Data Analyst?

AspectML Data AssociateData Analyst
Required CredentialsTypically a degree in computer science, data science, or related field; familiarity with machine learning conceptsUsually a degree in statistics, mathematics, or business analytics; strong Excel and data visualization skills
Work EnvironmentTech companies, AI startups, or organizations focusing on machine learning projectsBusiness, finance, marketing, and consulting firms analyzing data for insights
Employer & Industry UsageUsed in industries developing AI models, machine learning pipelines, and data infrastructureCommon across industries for reporting, trend analysis, and strategic decision-making

While both roles involve working with data, ML Data Associates focus on preparing and managing data specifically for machine learning models, whereas Data Analysts interpret data to generate business insights. The roles overlap in data handling skills but differ in their end goals and technical focus.

Is being an ML data associate stressful?

Working as an ML data associate can be stressful due to tight deadlines, repetitive tasks, and the need for high accuracy in data labeling and management. The role often requires attention to detail, patience, and the ability to handle large volumes of data efficiently.

Is ML a high paying job?

Machine Learning (ML) Data Associate roles typically offer competitive salaries that vary based on experience, location, and industry. Entry-level positions may start lower, but with skills in programming, data analysis, and familiarity with ML tools, salaries can increase significantly with experience and specialization.

How much does an ML Data Associate make?

An ML Data Associate typically earns between $40,000 and $70,000 annually, depending on experience, location, and the complexity of data tasks. Entry-level positions may start lower, while experienced associates with specialized skills in data annotation or labeling can earn higher salaries.

What are some common challenges faced by ML Data Associates when labeling complex datasets, and how can they be effectively addressed?

ML Data Associates often encounter challenges with ambiguous data, inconsistent labeling guidelines, or rapidly evolving project requirements. To address these, it's important to maintain open communication with data scientists and project leads, ask clarifying questions, and participate in regular calibration sessions to ensure consistency. Utilizing annotation tools efficiently and staying up-to-date with best practices can also help manage complexity and improve label quality. Collaboration and feedback within the team are key to overcoming these challenges and ensuring high-quality datasets.
What cities in Minnesota are hiring for Ml Data Associate jobs? Cities in Minnesota with the most Ml Data Associate job openings:
Associate Data Scientist - Estimating

Associate Data Scientist - Estimating

M. A. Mortenson Company

Minneapolis, MN • On-site

$69K - $104K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Mortenson rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz


Job description


SUMMARY
Mortenson is seeking an Associate Data Scientist to provide dedicated support to the Estimating organization, focused on automating workflows, predictive modeling, data visualizations, and custom AI/ML solutions. This role is ideal for recent graduates with a background in data science, data analytics, artificial intelligence, or a related field.
VISA SPONSORSHIP IS NOT ELIGIBLE FOR THIS POSITION
RESPONSIBILITIES
  • Understand the assigned business challenge and develop a plan to identify, obtain, and analyze the necessary data to drive improved business performance in existing and new estimating processes
  • Translate business requirements into business-ready analytics and AI solutions, including automated data workflows between source systems and enterprise data infrastructure
  • Collect, clean, and analyze data from various sources including estimating platforms, project management systems, financial records, and field operations
  • Conduct statistical analyses, randomized controlled trials, and predictive modeling
  • Stay current with industry trends and best practices in data science, AI, and construction analytics
  • Develop, analyze, and model estimating, operational, economic, and other organizational data
  • Test and evaluate AI & ML solutions and functionalities within and beyond enterprise solutions
  • Review program data consistently to provide corrective action, when necessary, based on information collected and current trends to maximize business performance
  • Effectively work and build relationships with those of diverse backgrounds and organizational levels
  • All other duties as assigned

QUALIFICATIONS
  • Bachelor's or master's degree in data science, data analytics, statistics, computer science, or a related discipline
  • Minimum 1 year of experience in a data science or AI function, preferably an internship in applied AI or data science
  • Proficiency with predictive modeling, statistical analysis, data mining, and data visualization
  • Experience with LLMs, multimodal models, or generative AI/ML (eg. Azure AI Foundry, Google Vertex)
  • Proficiency in Python, SQL, or similar coding languages and platforms including IDE platforms such as Jupyter Notebook, Spyder, Visual Studio Code
  • Experience working with ML Frameworks, Power BI, Microsoft Fabric, and related data tools
  • Prior work or experience in construction, architecture, engineering, or real estate development, preferred
  • Ability to think analytically with great attention to detail
  • Shown experience in following complex instructions
  • Ability to work independently and in a team environment
  • Willingness to advance business ideas that are sometimes unstructured and without clearly defined outcomes
  • Excellent communication and interpersonal skills
  • Shown understanding of business operations
  • Active listening skills and effective communication including an openness to diverse input and feedback
  • Ability to travel approximately 10%

A few benefits offered include:
(for Non-Craft & Non-Union Craft working 25+ hours / week)
  • Medical and prescription drug plans that include no additional cost vision coverage
  • Dental plan
  • 401k retirement plan with a generous Mortenson match
  • Paid time off, holidays, and other paid leaves
  • Employer paid Life, AD&D, and disability insurance
  • No-Cost mental health tool and concierge with extensive work-life resources
  • Tuition reimbursement
  • Adoption Assistance
  • Gym Membership Discount Program

The base pay range for this role is Min $69,900 - Max $104,900. (Actual range is higher for the following office locations: Denver, CO and Chicago, IL - 5%, Seattle, WA, and Portland, OR - 10%, Washington, D.C. - 12.5%).
Base pay is positioned within the range based on several factors including an individual's knowledge, skills, and experience, with consideration given to internal equity. This position is eligible for Mortenson's incentive plan.
#LI-BS1 #Hybrid
Please make note:
  • Visa sponsorship is not offered for this position.
  • Our postings are typically open for a minimum of 5 days and an average of 44 days.

ABOUT MORTENSON
As a top builder, developer, and EPC (Engineering, Procurement, and Construction), our expertise spans markets like sports, renewable energy, data centers, healthcare, and more. We are builders at heart, working to ensure the built environment has a lasting positive impact.
Let's Redefine Possible®
Equal Employment Opportunity
Your uniqueness brings new and creative perspectives to the team. Mortenson is committed to providing equal opportunities of employment (EOE) to all individuals, regardless of your race, religion, gender, national origin, age, veteran status, disability, marital status or any other legally protected category.
Other Items to Note
  • Mortenson reserves the right to hire any individual without legal or financial obligation on unwanted solicitations. No agency emails, calls, or solicitations are accepted without a valid agreement.
  • Must be currently legally authorized to work in the U.S. without sponsorship for employment visa status (e.g., H1B status, 0-1, TN, CPT, OPT, etc.). We are unable to sponsor or take over sponsorship of an employment Visa at this time.

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About M. A. Mortenson

Sourced by ZipRecruiter

M. A. Mortenson is a prominent name in the construction industry, based out of Minneapolis, MN, US. Established in 1954 by M.A. Mortenson Sr., the company has over six decades of experience offering construction services that have contributed to building lasting infrastructures across various sectors, including healthcare, energy, corporate, and sports. Mortenson has proven its exceptional expertise through a range of complex building and facility projects across the US fulfilling the customer's specifications and exceeding their expectations. Moreover, the company's core values are outlined as ‘Do the Right Thing’, ‘We Before I’, ‘Inspire What’s Possible’, and ‘In it for the long haul’.

Industry

Manufacturing and construction

Company size

1,001 - 5,000 Employees

Headquarters location

Minneapolis, MN, US

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