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Director Data Analyst Machine Learning Jobs in Excelsior, MN

As a Machine Learning Intern , you will have the opportunity to support the R&D Group at AV in ... Perform data analysis tasks using AV tools and industry-standard platforms. * Help manage project ...

Machine Learning Engineer III

Minneapolis, MN ยท On-site

$129K - $197K/yr

Verify data quality, and/or ensure it via data cleaning * Analyze the errors of the model and ... Run machine learning tests and experiments * Works on problems of diverse scope where analysis of ...

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Director Data Analyst Machine Learning information

See Excelsior, MN salary details

$38K

$92.4K

$152.1K

How much do director data analyst machine learning jobs pay per year?

As of Sep 10, 2026, the average yearly pay for director data analyst machine learning in Excelsior, MN is $92,395.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,900.00 and $108,400.00 per year, depending on experience, location, and employer.

What is the difference between Director Data Analyst Machine Learning vs Data Scientist?

AspectDirector Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; experience in machine learningBachelor's or Master's in Data Science, Statistics, Computer Science; strong programming skills
Work EnvironmentLeads teams, manages projects, strategic planningHands-on data analysis, model development, experimentation
Employer & Industry UsageTech companies, finance, healthcare, retailResearch institutions, tech firms, consulting

The main difference is that the Director Data Analyst Machine Learning oversees teams and strategic initiatives, while Data Scientists focus on developing models and analyzing data directly. The director role emphasizes leadership and project management, whereas data scientists are more hands-on with technical tasks.

Infographic showing various Director Data Analyst Machine Learning job openings in Excelsior, MN as of June 2026, with employment types broken down into 69% Full Time, 28% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $92,395 per year, or $44.4 per hour.

Data Science/Machine Learning Builder

Eden Prairie, MN โ€ข On-site

Momento USA LLC
IT Servicesย โ€ขย 11 - 50 employees

Other

Posted 2 days ago

New


Job description

Momento USA is a global technology consulting, talent acquisition and creative development firm that addresses clients most pressing needs and challenges.

We currently looking for Data Science/Machine Learning Builder for a client based out in Minnetonka, Minnesota. Please see the job description below for your reference.

Role: Data Science/Machine Learning Builder

Location: Minnetonka, Minnesota (On-site)

Job Description:

  • Client seeks a highly skilled Data Science / Machine Learning Builder to drive advanced analytics, anomaly detection, predictive modeling, and production-grade AI solutions across Claims and Payment Integrity, Customer Service, and Technology workflows.
  • This role emphasizes hands-on delivery of scalable, secure, and maintainable ML systems in a healthcare context, with a focus on multimodal approaches, deep learning, and integration into enterprise workflows.
  • The ideal candidate will possess strong technical ownership, production mindset, and the ability to translate complex business problems into robust analytical solutions.
  • The position is based in Minnetonka, Minnesota, with hybrid work expectations and a preference for local talent.

Roles and Responsibilities:

  • Data Science / Machine Learning Builder, Production AI Systems Developer, Design, build, deploy, and operate production AI, machine learning, and analytical systems with a focus on claims integrity, customer service, and technology workflows.
  • Develop and integrate multimodal systems combining structured data, NLP, embeddings, deep learning, and generative AI for enhanced decision-making and output explainability.
  • Engineer robust feature pipelines, population/target definitions, model evaluation frameworks, and scoring architectures with strong emphasis on explainability, monitoring, and drift detection.
  • Collaborate with MLOps, data engineering, and platform teams to ensure CI/CD, observability, security, compliance, and auditability of deployed models and services.
  • Own operational support for ML systems, including troubleshooting, root-cause analysis, and continuous improvement in production environments.
  • Apply modern software engineering practices including source control, automated testing, infrastructure as code, containers, and deployment automation.
  • Conduct data discovery, curation, and integration work, including diagnosing and resolving pipeline issues where necessary.
  • Work closely with AI/Automation and business teams to design end-to-end solutions that deliver measurable operational and business outcomes.

Demonstrate autonomy in ambiguous environments, make sound technical tradeoffs, and deliver high-velocity, reviewable work

If interested, please share your detailed latest resume along with the required info to speed up the process.


Thanks & Regards

Ahmed Ali

IT Recruiter 

Momento USA | Exceeding Customer Expectationsโ€ฆ

440 Benigno Blvd, Unit#A-5 2nd Floor, Interstate Business Park, Bellmawr, NJ 08031

Phone No:   Ext: 1026 Fax: Email: Ahmed Web:

Linkedin :

Note: Momento USA is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.