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Remote Data Scientist Jobs in Beloit, WI (NOW HIRING)

IT Data Engineer

Janesville, WI · On-site +1

$72K - $90K/yr

Bachelor's degree in computer science, Information Technology, or a related field. * 1-3 years' data engineering experience * Experience with data modeling, database design, and optimization

Electrical Engineering Manager

Rockford, IL · On-site +1

$110K - $141K/yr

This position can be remote with travel or hybrid based in our Rockford, IL office with up to 50 ... Must have a Bachelor of Science degree in an engineering discipline from an accredited university.

Electrical Engineering Manager

Rockford, IL · On-site +1

$110K - $141K/yr

This position can be remote with travel or hybrid based in our Rockford, IL office with up to 50 ... Must have a Bachelor of Science degree in an engineering discipline from an accredited university.

Support Engineer I

Rockford, IL · On-site +1

$65K - $75K/yr

Serve as the primary point of contact for customers via phone, email, chat, and remote support ... Bachelor's degree in Information Technology, Computer Science, or related field, OR 1+ years of ...

Remote Data Scientist information

See Beloit, WI salary details

$36.7K

$120K

$192.2K

How much do remote data scientist jobs pay per year?

As of Jul 31, 2026, the average yearly pay for remote data scientist in Beloit, WI is $120,040.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,300.00 and $133,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Data Scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, usually demonstrated through a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required, along with certifications such as Microsoft Certified: Azure Data Scientist Associate or Google Professional Data Engineer. Excellent communication, problem-solving abilities, and self-motivation are critical soft skills for collaborating remotely and delivering insights to stakeholders. These skills are crucial for effectively analyzing data, building predictive models, and driving data-driven decisions in a distributed work environment.

Can a data scientist work remotely?

Yes, many data scientists work remotely, especially as the role often involves analyzing data, programming, and using tools like Python, R, and cloud platforms that can be accessed from anywhere. Remote work options depend on the employer's policies and the specific job requirements, but it is increasingly common in the data science field.

What Is the Job of a Remote Data Scientist?

Remote data scientists collect, confirm, and interpret data to determine useful information for their employer. Unlike in-house data scientists, remote data scientists work outside the office, either from home or another location with Wi-Fi accessibility. Remote data scientists help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information they get from the records they gather helps businesses make decisions in critical areas, such as product development, sales and marketing techniques, and client retention. You find remote data scientists in many different industries, including pharmaceuticals, manufacturing, and banking.

How can I make 2000 a week working from home?

A remote data scientist can earn $2,000 or more per week by working on high-demand projects, consulting, or freelance assignments that pay premium rates. Building a strong portfolio, developing skills in machine learning and data analysis tools, and establishing a reliable client base are essential for achieving this income level remotely.

What are remote data scientists?

Remote data scientists are professionals who analyze and interpret complex data while working outside of a traditional office environment, typically from home or another remote location. They use statistical methods, machine learning, and programming to extract insights from data, helping organizations make data-driven decisions. Remote data scientists collaborate with teams virtually, often using tools for communication, data analysis, and project management. This flexible work arrangement allows for talent from anywhere to contribute to companies worldwide, provided they have reliable internet and the necessary technical skills.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

How does a remote data scientist typically collaborate with team members across different time zones?

As a remote data scientist, effective collaboration across time zones often involves leveraging asynchronous communication tools like Slack, project management platforms, and version control systems such as Git. Regular virtual meetings are scheduled to accommodate overlapping hours, and clear documentation becomes crucial for keeping everyone aligned. Proactive communication, sharing progress updates, and setting clear expectations help ensure seamless teamwork despite geographical differences. This structure allows remote data scientists to contribute meaningfully while maintaining flexibility in their work schedules.

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

AspectRemote Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often requires programming skills in Python or RDegree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch-focused, developing models, machine learning, and predictive analyticsData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Remote Data Scientists focus on building models and advanced analytics, while Remote Data Analysts interpret data and create reports. Both roles require strong analytical skills but differ in technical depth and project scope.

How can I make $100,000 a year working from home?

A remote data scientist can earn $100,000 or more annually by gaining advanced skills in machine learning, data analysis, and programming languages like Python or R, along with relevant certifications. Building a strong portfolio, gaining experience, and working for companies that offer remote roles with competitive salaries are key strategies to reach this income level.
What cities near Beloit, WI are hiring for Remote Data Scientist jobs? Cities near Beloit, WI with the most Remote Data Scientist job openings:
Infographic showing various Remote Data Scientist job openings in Beloit, WI as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 12% Part Time, 1% Temporary, 4% Contract, and 2% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $120,040 per year, or $57.7 per hour.

IT Data Engineer

Blain's Farm & Fleet

Janesville, WI • On-site, Remote

$72K - $90K/yr

Other

Medical, Dental, Vision, Life, Retirement

This job post has expired today. Applications are no longer accepted.


Blain's Farm And Fleet rating

6.2

Company rating: 6.2 out of 10

Based on 109 frontline employees who took The Breakroom Quiz

321st of 729 rated retailers


Job description

Company & Benefits Information

At Blain’s Farm & Fleet we believe everyone deserves the opportunity to have a job they love, work in a great environment, grow their career & enjoy a positive balance.

As a family-owned retailer we take pride in offering a competitive benefit package designed to support you & your life. It is one of the reasons we have been named a Forbes Best Employer for seven consecutive years!

  • Associates hired into a full-time role will become eligible for the following benefits effective their 91st day of full-time employment: Medical, Prescription, Dental, Vision, Short & Long Term Disability, Life Insurance, Ancillary Benefits, Identity Theft Protection, Pet Insurance, Etc.
  • All major Holidays & Birthday off
  • Advanced Leadership Training Programs: build the skills to grow your career
  • Associate discount on name brands like Carhartt, Under Armour, STIHL, Milwaukee Tool, DeWalt & much more!
  • Internal recognition programs that support an engaged workplace
  • 401(K) with company match

Compensation
  • Base pay starting between $72,000 to $90,000/yr

The pay listed for this position may vary based on experience. Please note, compensation decisions are contingent on the facts and conditions for each job opening. We take into consideration the minimum requirements outlined in the job description, such as, training and experience, the position’s work location, required travel (if any), and external market conditions when determining the final salary for potential new hires.

 

Please note salary estimates published via alternate online job boards may not be a true representation of the actual pay range offered for this position. Please refer to the Blain’s Farm & Fleet position description for accurate pay range information.


Job Duties

As a Data Engineer, you will play a key role in designing, implementing, and maintaining our data integrations, storage and access solutions. You will work closely with cross-functional teams to ensure the availability, integrity, and performance of our data infrastructure, enabling data-driven decision-making across the organization.

  • Design and implement scalable, reliable, and high-performance data solutions in a Microsoft environment. 
  • Design, implement, and optimize ETL/ELT processes for the extraction, transformation, and loading of data from various sources into our data warehouse. 
  • Develop and implement data models to facilitate efficient data transformation and ensure compatibility with reporting and analytics requirements. 
  • Build and optimize data warehousing solutions, ensuring efficient storage and retrieval of structured and unstructured data. 
  • Leverage Microsoft Azure services for cloud-based data storage, processing, and analytics. 
  • Implement data quality checks and validation processes to ensure the accuracy and reliability of our data assets. 
  • Collaborate with cross-functional teams and stakeholders to understand data requirements and deliver solutions that meet business objectives. 
  • Collaborate with the Business Intelligence Team to build and maintain our corporate data governance framework. 
  • Maintain comprehensive documentation for data processes, schemas, and integration points. 

Qualifications
  • Bachelor’s degree in computer science, Information Technology, or a related field.
  • 1-3 years’ data engineering experience 
  • Experience with data modeling, database design, and optimization 
  • Experience with PowerBI, Tableau or other data visualization tools 
  • Experience writing data processing applications and workflows using Scala or Java. 

EEO Statement

Blain Supply, Inc and Blain’s Farm and Fleet (collectively “Blain’s”) is proud to be an Equal Opportunity Employer. We recognize the importance of diversity and creating an inclusive culture in order to leverage the skills and talents of all people to the mutual advantage of each individual and the organization. Blain’s does not discriminate against applicants or employees on the basis of race, religion, color, sex (including pregnancy and sexual harassment), sexual orientation, gender identity, national origin, age, marital status, disability, military or veteran status, or any applicable legally protected status. Our goal is to continue to be recognized as an employer of choice and we have received Forbes Best Mid-Sized company to work for an unprecedented 7 years in a row.

Qualifications:
  • Bachelor’s degree in computer science, Information Technology, or a related field.
  • 1-3 years’ data engineering experience 
  • Experience with data modeling, database design, and optimization 
  • Experience with PowerBI, Tableau or other data visualization tools 
  • Experience writing data processing applications and workflows using Scala or Java. 
Education:UNAVAILABLEEmployment Type: UNAVAILABLE

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