ZipRecruiter

Log In

2

Remote Science Jobs in Rosemount, MN (NOW HIRING)

Dlapiper

Data Scientist

Minneapolis, MN · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

General Mills

Senior Data Scientist

Minneapolis, MN · On-site +1

$110K - $184K/yr

What you will do * Partner with data science leaders, AI engineering teams, and business ... International relocation and international remote working arrangements outside of the United States ...

previous pagenext page

Showing results 21-40

All JobsScience JobsRemote Science JobsRemote Science Jobs in Rosemount, MN

Remote Science information

See Rosemount, MN salary details

$25K

$49.5K

$80.8K

How much do remote science jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote science in Rosemount, MN is $49,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,400.00 and $53,200.00 per year, depending on experience, location, and employer.

What is remote science?

Remote science jobs are positions in scientific fields that can be performed outside of traditional laboratory or office environments, typically from home or any location with internet access. These jobs may include roles in research, data analysis, scientific writing, consulting, or education. Advances in technology and communication tools have made it possible for scientists to collaborate, conduct experiments, and analyze data remotely. Remote science jobs offer flexibility and can help employers and employees reach a broader talent pool. Common areas include biology, chemistry, environmental science, and healthcare research.

What skills and qualifications are needed to thrive as a remote science professional?

To thrive as a Remote Science professional, you need a strong background in your scientific discipline, analytical skills, and typically a relevant degree or higher qualification. Familiarity with data analysis tools, virtual collaboration platforms, and scientific software such as Python, R, or MATLAB is important. Excellent written communication, time management, and self-motivation are standout soft skills in this remote environment. These abilities ensure effective research, collaboration, and productivity while working independently from various locations.

What are common challenges faced by professionals working in remote science roles, and how can they be addressed?

Professionals in remote science roles often face challenges such as effective communication across time zones, limited access to lab equipment, and maintaining collaboration with team members. To address these issues, it is helpful to establish regular virtual check-ins, utilize collaborative digital tools, and set clear expectations for project milestones. Many teams also adopt cloud-based data sharing and remote access to specialized software, ensuring that scientific work continues smoothly despite physical distance.

What is the difference between Remote Science vs Remote Data Analyst?

AspectRemote ScienceRemote Data Analyst
Required CredentialsScience degrees, research experience, technical skillsStatistics, data analysis certifications, technical skills
Work EnvironmentResearch labs, academic institutions, remote research projectsBusiness, finance, tech companies, remote data analysis roles
Employer & Industry UsageUniversities, research institutes, biotech firmsCorporations, consulting firms, tech startups
Search & Comparison IntentUnderstanding research roles, scientific projectsData analysis tasks, business insights

Remote Science and Remote Data Analyst roles share a focus on technical skills and remote work environments. However, Remote Science typically involves research, scientific experiments, and academic or biotech settings, while Remote Data Analysts focus on interpreting data for business insights in corporate environments. Both roles require analytical skills but differ in industry application and specific credentials.

What remote science jobs are there?

Remote science jobs include roles such as research scientists, data analysts, laboratory technicians, and scientific writers. These positions often require specialized knowledge, relevant degrees, and skills in data analysis, laboratory techniques, or scientific software, and may involve collaboration through digital communication tools.

What are the most commonly searched types of Science jobs in Rosemount, MN?

The most popular types of Science jobs in Rosemount, MN are:

What are popular job titles related to Remote Science jobs in Rosemount, MN?

For Remote Science jobs in Rosemount, MN, the most frequently searched job titles are:

What job categories do people searching Remote Science jobs in Rosemount, MN look for?

The top searched job categories for Remote Science jobs in Rosemount, MN are:

What cities near Rosemount, MN are hiring for Remote Science jobs?

Cities near Rosemount, MN with the most Remote Science job openings:

Remote Science jobs near you

Sr. Data Scientist (Remote Eligible)

General Mills

Minneapolis, MN • On-site, Remote

$110K - $184K/yr

Full-time

Medical, Retirement

Re-posted 3 days ago

General Mills rating

8.2

Company rating: 8.2 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

70th of 445 rated food and drinks producers

Job description

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 another and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what's next.
JOB OVERVIEW
To make the food people love, we need to make sure we feed our decision makers the right data and solutions at the right time, every time. 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 analytics engines and services. You will collaborate with product owners, business partners, and other Data Scientists to define the technical problem statement and the hypothesis to test. In addition, you will develop efficient and accurate analytical models that mimic business decisions
KEY RESPONSIBILITIES:
  • Design & implementation of AI solutions for semi-structured data, covering problem framing, data curation, and evaluation across classification, entity extraction & summarization.
  • Develop high-quality Agentic AI and RAG workflows, optimizing ingestion, chunking, embeddings, and vector indexing with established frameworks and stores to maximize retrieval performance.
  • Technically evaluate novel technology to help inform on the best effort/improvement tradeoffs.
  • Quickly learn and iterate with novel technologies/procedures, particularly but not exclusively around generative AI.
  • Responsible for monitoring and improvement of model performance metrics and recommendations with feedback incorporated from business partners.
  • Implement appropriate generative AI techniques and technologies to solve business problems, including prompt and LLM fine-tuning, RAG, agentic workflows, and tool designs.
  • Help business stakeholders translate their objectives into measurable outcomes.
  • Apply critical thinking to frame business needs into statistical problems and develop solutions that balance technical completeness/complexity and timely value delivery.
  • Be a storyteller to explain the 'why and how' of your recommendations to build trust in your solutions.
  • Have passion to advocate and educate on the value and importance of data-driven decision-making and analytical methods.
  • Identify and develop long-term data science processes, frameworks, tools, and standards.
  • Be a part of the team, collaborate, ask questions, engage, and solicit feedback from other Data Scientists.

MINIMUM QUALIFICATIONS:
  • Bachelor's degree in data science, Computer Science, Engineering, Math, Statistics or other related fields
  • 6+ years of relevant experience with at least 2 years of relevant experience in Data Science.
  • Strong foundation of statistical reasoning and critical thinking, with a proven track record of effectively finding solutions to stakeholder problem statements.
  • Experience with Python, including some exposure to package development and foundational programming principles.
  • Some experience with generative AI concepts, including embeddings, LLMs, agents, and RAG.
  • Experience writing complex SQL queries.
  • Understanding data warehousing and complex databases
  • Experience with machine learning and data visualization tools.
  • Number sense, ability to identify questionable data, dig in and address it.
  • Strong communication and collaboration skills to understand business needs, frame problems in familiar language (without compromising statistical fidelity), and present solutions that clearly translate to business value.

PREFERRED QUALIFICATIONS:
  • Experience developing and deploying Python packages and managing large-scale projects
  • Experience developing/deploying generative AI technology, including agents, RAG, or similar.
  • Experience with Google Cloud Platform or similar technology.
  • Applied experience in consumer goods/supply chain
  • Master's degree in data science, Computer Science, Engineering, Math, or Statistics preferred.

ADDITIONAL CONSIDERATIONS:
  • Applicants for this position must be currently authorized to work in the United States on a full-time basis, and General Mills will not sponsor applicants for this position for work visas.

SALARY RANGE
The salary range for this position is:
$110,800 - $184,800
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
SALARY RANGE
The salary range for this position is:
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.
ELIGIBILITY
Applicants must meet a minimum 18-year age qualification.
EQUAL OPPORTUNITY EMPLOYER (EOE)
General Mills is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, marital or familial status, status regarding public assistance, or membership or activity in a local human rights commission.
REASONABLE ACCOMODATION REQUEST
If you need to request an accommodation during the application or hiring process, please fill out our online accommodation request form by following this link: Accommodation Request.

What General Mills employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

General Mills logo

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

View All General Mills Jobs

Apply