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At Home Data Scientist Risk Jobs in Minnesota (NOW HIRING)

Sr Data Scientist

Saint Paul, MN · On-site

$118K - $177K/yr

No immigration sponsorship is available for this role at this time. Preferred Qualifications ... Experience with full lifecycle of data science product development * Demonstrated interconnected ...

Sr. Data Scientist

Minneapolis, MN · On-site

$110K - $184K/yr

As a Senior Data Scientist at General Mills, you will apply your strong expertise in machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced ...

New

... at least five years of related senior-level experience in data science • 10 years or relevant data science experience; at least part of the required experience must be within the past two (2) years ...

Proven track record of building and operating production-grade models and decisioning systems at ... risk/dependency management). * Experience with unstructured data and advanced AI (e.g., LLMs, NLP ...

Proven track record of building and operating production-grade models and decisioning systems at ... risk/dependency management). * Experience with unstructured data and advanced AI (e.g., LLMs, NLP ...

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Showing results 1-20

At Home Data Scientist Risk information

What is the difference between At Home Data Scientist Risk vs At Home Data Analyst Risk?

AspectAt Home Data Scientist RiskAt Home Data Analyst Risk
Required CredentialsTypically requires a master's or Ph.D. in data science, statistics, or related fieldsUsually requires a bachelor's degree in data analysis, statistics, or related areas
Work EnvironmentRemote, often involves complex modeling and predictive analyticsRemote, focuses on data interpretation and reporting
Employer & Industry UsageUsed in tech, finance, healthcare for advanced analyticsCommon in retail, marketing, and business sectors for reporting

The main difference between At Home Data Scientist Risk and At Home Data Analyst Risk lies in the complexity of tasks and required credentials. Data Scientists typically handle advanced modeling and require higher education, while Data Analysts focus on data reporting and analysis with more accessible qualifications. Both roles are remote and industry-specific, but Data Scientists often work on predictive analytics, whereas Data Analysts interpret existing data for decision-making.

What are the most commonly searched types of Data Scientist Risk jobs in Minnesota? The most popular types of Data Scientist Risk jobs in Minnesota are:
What are popular job titles related to At Home Data Scientist Risk jobs in Minnesota? For At Home Data Scientist Risk jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching At Home Data Scientist Risk jobs in Minnesota look for? The top searched job categories for At Home Data Scientist Risk jobs in Minnesota are:
What cities in Minnesota are hiring for At Home Data Scientist Risk jobs? Cities in Minnesota with the most At Home Data Scientist Risk job openings:
Sr Data Scientist

Sr Data Scientist

Ecolab

Saint Paul, MN • On-site

$118K - $177K/yr

Full-time

Re-posted 11 days ago


Ecolab rating

7.5

Company rating: 7.5 out of 10

Based on 209 frontline employees who took The Breakroom Quiz

54th of 92 rated chemical manufacturers


Job description

Ecolab Digital is seeking an Artificial Intelligence & Analytics - Sr Data Scientist focused AI and Analytics Professional to unlock the value in data assets while creating, maturing, and maintaining unique offerings for customers in the Global Water segment. In this role, you will collaborate with the digital product innovation teams, marketing, sales and engineering counterparts to develop & deliver the advanced analytics pipeline for digital. You will own the execution of revenue generating AI product developments and enhancements required for scaled, outcome-based solution success.

Position Details

  • Location: The desired location for this role is either St. Paul, MN or Naperville, IL with a hybrid schedule.
  • Travel: Up to 10% of the time.

What you will do

  • Identify and define opportunities aligned to Water business challenges, navigating a wide range of problems and solution approaches.
  • Drive experimentation and delivery of digital AI / data science product innovations aligned to the overall digital product vision.
  • Work within an agile global resource model, planning for and delivering against strategically aligned initiatives as a team.
  • Network and collaborate with a broad range of internal business stakeholders to link and translate business strategy / VOC to technical opportunities, innovation build and lifecycle management.
  • Provide clear, consistent communication and presentation to various product stakeholders.
  • Mentor junior data scientists in the organization, fostering their development with hands-on engagement and a team mentality.
  • Utilize an extensive foundation of data science principles, methods, theories, and concepts to bring creativity, quality and technical ownership to the development of new, innovative AI solutions

Minimum Qualifications

  • Bachelors Degree in Data Science, Economics, Math, Statistics or related field with an emphasis on analytics and 6 years of experience in progressive data science roles or Master's degree with 3 years of experience in progressive data science roles
  • 2 years' experience with Python
  • Excellent communication & presentation skills, effectively partnering and delivering results to a broad spectrum of stakeholders
  • Ability to thrive in an ambiguous environment, embracing change and challenging the status quo
  • Proven reasoning in balancing practical business needs and analytics rigor
  • No immigration sponsorship is available for this role at this time.

Preferred Qualifications

  • Experience leading project teams with cross-functional influence
  • Experience with full lifecycle of data science product development
  • Demonstrated interconnected disciplinary knowledge of digital solution development
  • Proficiency in the Microsoft Azure Suite, including Databricks and PowerBI
  • Working knowledge of DevOps, git, Snowflake, and distributed compute platforms
  • Experience in building and scaling intelligent systems leveraging LLMs, embedding pipelines, and agent workflows
  • Proficiency with time series and sensor data
  • Experience in consulting and/or product management
  • Well-developed and proven leadership, strategic thinking, & business acumen

A trusted partner at nearly three million commercial customer locations, Ecolab (ECL) is the global leader in water, hygiene and infection prevention solutions and services. With annual sales of $13 billion and more than 45,000 associates, Ecolab delivers comprehensive solutions, data-driven insights and personalized service to advance food safety, maintain clean and safe environments, optimize water and energy use, and improve operational efficiencies and sustainability for customers in the food, healthcare, hospitality and industrial markets in more than 170 countries around the world.

When you come to work at Ecolab, you get to take on some of the world's most meaningful challenges and have the opportunity to learn and grow, shape your career, make an impact and quickly see the importance of your work.

For more Ecolab news and information, visit www.ecolab.com. Follow us on Twitter @ecolab, Facebook at facebook.com/ecolab, LinkedIn at Ecolab or Instagram atEcolab Inc

Annual or Hourly Compensation Range

The pay range for this position is $118,100.00 - $177,100.00. Many factors are taken into consideration when determining compensation, such as experience, education, training, geography, etc. We comply with all minimum wage and overtime laws.

Benefits

Ecolab strives to provide comprehensive and market-competitive benefits to meet the needs of our associates and their families.Click here to see our benefits.

If you are viewing this posting on a site other than our Ecolab Career website, view our benefits at jobs.ecolab.com/working-here.

Potential Customer Requirements Notice

To meet customer requirements and comply with local or state regulations, applicants for certain customer-facing roles may need to:

- Undergo additional background screens and/or drug/alcohol testing for customer credentialing.

- Be fully vaccinated for COVID-19, including a booster if eligible, unless a religious or medical accommodation is requested by the applicant and approved by Ecolab.

Americans with Disabilities Act (ADA)

Ecolab will provide reasonable accommodation (such as a qualified sign language interpreter or other personal assistance) with our application process upon request as required to comply with applicable laws. If you have a disability and require accommodation assistance in this application process, please visit the Recruiting Support link in the footer of each page of our career website.


What Ecolab employees say

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About Ecolab

Sourced by ZipRecruiter

Ecolab is a global sustainability leader offering water, hygiene and infection prevention solutions and services that protect people and the resources vital to life.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Saint Paul, MN, US

Year founded

1923