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Data Curation Ai Machine Learning Jobs in Minnesota

General Mills

Senior Data Scientist

Minneapolis, MN · On-site

$108K - $181K/yr

Work across semi-structured data use cases, including problem framing, data curation, model ... Experience building large-scale AI or machine learning models * Some experience building AI ...

General Mills

Senior Data Scientist

Minneapolis, MN · On-site +1

$108K - $181K/yr

Work across semi-structured data use cases, including problem framing, data curation, model ... Experience building large-scale AI or machine learning models * Some experience building AI ...

Kitware

Machine Learning Engineer

Minneapolis, MN · On-site

$85K - $125K/yr

... data sources like images, video, metadata, audio, and text, and we recognize the need for robust ... We seek to advance AI, CV, and other related fields through research and development and ...

Kitware

Machine Learning Engineer

Minneapolis, MN

$85K - $125K/yr

... data sources like images, video, metadata, audio, and text, and we recognize the need for robust ... We seek to advance AI, CV, and other related fields through research and development and ...

Kitware

Machine Learning Engineer

Minneapolis, MN

$85K - $125K/yr

... data sources like images, video, metadata, audio, and text, and we recognize the need for robust ... We seek to advance AI, CV, and other related fields through research and development and ...

General Mills

Sr. Data Scientist

Minneapolis, MN

$110K - $184K/yr

... AI solutions for semi-structured data, covering problem framing, data curation, and evaluation ... Experience with machine learning and data visualization tools. * Number sense, ability to identify ...

General Mills

Sr. Data Scientist

Minneapolis, MN · On-site

$110K - $184K/yr

... AI solutions for semi-structured data, covering problem framing, data curation, and evaluation ... Experience with machine learning and data visualization tools. * Number sense, ability to identify ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...

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Data Curation Ai Machine Learning information

What are the key skills and qualifications needed to thrive as a Data Curation AI Machine Learning Specialist, and why are they important?

To thrive as a Data Curation AI Machine Learning Specialist, you need strong data management skills, a background in computer science or data science, and experience with machine learning principles. Familiarity with programming languages like Python or R, data labeling tools, and database systems, as well as certifications in machine learning or data engineering, are typically required. Attention to detail, critical thinking, and effective communication stand out as essential soft skills for managing complex datasets and collaborating with cross-functional teams. These skills ensure high-quality, well-organized data that drives accurate machine learning models and reliable AI outcomes.

What is a Data Curation AI/Machine Learning specialist?

A Data Curation AI/Machine Learning specialist is a professional who manages, organizes, and prepares large datasets to be used in artificial intelligence and machine learning projects. They ensure that data is accurate, relevant, and accessible, often cleaning and labeling data so it can be effectively used to train machine learning models. Their role bridges the gap between raw data sources and the teams building AI solutions, enabling more reliable and efficient model development. They may also work with data governance, privacy, and compliance issues to ensure data quality and security.

What are some common challenges faced by data curation professionals working in AI and machine learning projects?

One of the key challenges data curation specialists encounter in AI and machine learning is ensuring the quality and consistency of large, diverse datasets. This often involves dealing with missing, incomplete, or biased data, which can impact model performance. Additionally, data curators must navigate evolving data privacy regulations and work closely with data scientists, engineers, and domain experts to align data preparation with project goals. Effective communication and a meticulous approach are crucial for maintaining data integrity and supporting robust machine learning outcomes.

What is the difference between Data Curation Ai Machine Learning vs Data Analyst?

AspectData Curation Ai Machine LearningData Analyst
Primary FocusPreparing and managing data for AI and ML modelsAnalyzing data to generate business insights
Skills RequiredData management, programming, understanding of AI/ML algorithmsStatistical analysis, data visualization, Excel, SQL
Tools UsedPython, R, SQL, data cleaning toolsExcel, Tableau, SQL, statistical software
Work EnvironmentData science teams, AI/ML projects, tech companiesBusiness departments, analytics teams, consulting firms

While Data Curation Ai Machine Learning specialists focus on preparing data for AI and machine learning models, Data Analysts interpret data to support business decisions. Both roles require strong data skills but differ in their primary objectives and tools used.

What are popular job titles related to Data Curation Ai Machine Learning jobs in Minnesota? For Data Curation Ai Machine Learning jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Data Curation Ai Machine Learning jobs in Minnesota look for? The top searched job categories for Data Curation Ai Machine Learning jobs in Minnesota are:
What cities in Minnesota are hiring for Data Curation Ai Machine Learning jobs? Cities in Minnesota with the most Data Curation Ai Machine Learning job openings:
Data Curation Ai Machine Learning jobs near you
Senior Data Scientist

Senior Data Scientist

General Mills

Minneapolis, MN • On-site

$108K - $181K/yr

Full-time

Medical, Retirement

Posted 17 days ago

General Mills rating

8.2

Company rating: 8.2 out of 10

Based on 110 frontline employees who took The Breakroom Quiz

69th of 432 rated food and drinks producers

Job description

At General Mills, we make the food the world loves. Behind every great decision is great data, and we are investing in the people, platforms, and AI capabilities that help turn insight into action.
We are hiring a Senior Data Scientist to help shape the next generation of advanced analytics and AI solutions across the enterprise. In this role, you will partner with business stakeholders, product owners, and technical teams to identify high-value opportunities, develop scalable machine learning solutions, and build reusable frameworks that strengthen how data science work gets done across General Mills.
This is an exciting opportunity for someone who enjoys both building and influencing: building models, frameworks, and AI-enabled solutions, while also helping teams make smarter, faster, data-driven decisions.
What you will do
  • Partner with data science leaders, AI engineering teams, and business stakeholders to identify, prioritize, and deliver high-impact AI and machine learning use cases
  • Design, prototype, and scale advanced analytics and AI solutions using best-in-class tools and technologies
  • Frame business problems as measurable data science opportunities and translate them into practical, value-focused solutions
  • Build production-ready, reusable, and scalable models that generate timely, actionable insights
  • Work across semi-structured data use cases, including problem framing, data curation, model development, and evaluation
  • Monitor model performance, incorporate stakeholder feedback, and continuously improve solution effectiveness
  • Help define and standardize data science ways of working, including common processes, reusable assets, frameworks, and best practices
  • Communicate recommendations clearly and persuasively, helping partners understand the why behind the work and trust the path forward
  • Contribute to a strong team culture by collaborating, sharing ideas, asking questions, and supporting other data scientists

Why this role stands out
  • You will work on cutting-edge AI initiatives that are already delivering business value
  • You will help build the internal foundations, standards, and reusable frameworks that make AI adoption faster and more effective across the company

Minimum Qualifications
  • 5+ years of experience in data science, decision sciences, or a related quantitative field
  • Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or a related field
  • Strong foundation in machine learning, statistical thinking, and/or analytical problem-solving
  • Strong proficiency in Python and SQL
  • Experience working with complex databases and modern data science tooling
  • Ability to spot questionable data, investigate issues, and improve the overall solution
  • Strong communication and stakeholder management skills, with the ability to translate business needs into technical solutions
  • Experience with cloud platforms such as GCP or similar environments

Preferred qualifications
  • Master's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or a related field
  • Experience building large-scale AI or machine learning models
  • Some experience building AI solutions, including hands-on work with newer AI or agentic capabilities using Python or a similar programming language
  • Experience in operational or commercial business environments
  • Exposure to machine learning engineering practices and coding standards that support scalable, production-minded solutions

A strong fit for this role will bring
  • A balance of deep data science expertise and practical engineering exposure
  • Curiosity about where AI can create value and the discipline to prioritize the right use cases
  • Confidence working with ambiguity and shaping structure where it does not yet exist
  • A collaborative mindset and the ability to influence across technical and non-technical stakeholders

Additional considerations
  • International relocation and international remote working arrangements outside of the United States will not be considered
  • Candidates must be currently authorized to work in the United States on a full-time basis

COMPANY OVERVIEW
We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best - bold thinkers with big hearts who challenge one other and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what's next.
Salary Range
The salary range for this position is $108900.00 - $181700.00 / Annually. At General Mills we strive for each employee's pay at any point in their career to reflect their experiences performance and skills for their current role. The salary range for this role represents the numerous factors considered in the hiring decisions including, but not limited to, educations, skills, work experience, certifications, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range. Beyond base salary, General Mills offers a competitive Total Rewards package focusing on your overall well-being. We are proud to offer a foundation of health benefits, retirement and financial wellbeing, time off programs, wellbeing support and perks. Benefits may vary by role, country, region, union status, and other employment status factors. You may also be eligible to participate in an annual incentive program. An incentive award, if any, depends on various factors, including, individual and organizational performance.
Reasonable Accommodation Request
If you need to request an accommodation during the application or hiring process, please fill out our online accommodations request form by following this link: Accommodations Request.

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About General Mills

Sourced by ZipRecruiter

General Mills, Inc. manufactures some of the most beloved foods in the world, including Cheerios and Lucky Charms, Nature Valley granola bars, Totino's pizza rolls, and Yoplait yogurt. Blue Buffalo became part of General Mills in 2018, so even your pets love us too.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

Year founded

1928

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