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Remote Data Scientist Jobs in Midvale, UT (NOW HIRING)

Lead Data Scientist

Draper, UT · On-site +1

$138K - $272K/yr

The Lead Data Scientist is pivotal in generating insights and supporting the enterprise's data ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Title and Summary Lead Data Scientist Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that ...

Become a part of the "strength within." Hexcel is currently seeking a Research and Development Data Scientist for our Salt Lake City, UT, USA. This person will lead the development and deployment of ...

Participate in remote assignments or attend on-site sessions when required * Follow project ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

Participate in remote assignments or attend on-site sessions when required * Follow project ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

Work with dispatch systems support to ensure the remote data requirements are incorporated into the ... Bachelor's Degree Electrical Engineering, Computer Science, Information Technology, or related ...

Work with dispatch systems support to ensure the remote data requirements are incorporated into the ... Bachelor's Degree Electrical Engineering, Computer Science, Information Technology, or related ...

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Showing results 1-20

Remote Data Scientist information

See Midvale, UT salary details

$35.4K

$115.8K

$185.3K

How much do remote data scientist jobs pay per year?

As of Jul 29, 2026, the average yearly pay for remote data scientist in Midvale, UT is $115,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,900.00 and $128,300.00 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 are the most commonly searched types of Data Scientist jobs in Midvale, UT? The most popular types of Data Scientist jobs in Midvale, UT are:
What are popular job titles related to Remote Data Scientist jobs in Midvale, UT? For Remote Data Scientist jobs in Midvale, UT, the most frequently searched job titles are:
What job categories do people searching Remote Data Scientist jobs in Midvale, UT look for? The top searched job categories for Remote Data Scientist jobs in Midvale, UT are:
What cities near Midvale, UT are hiring for Remote Data Scientist jobs? Cities near Midvale, UT with the most Remote Data Scientist job openings:
Infographic showing various Remote Data Scientist job openings in Midvale, UT as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $115,756 per year, or $55.7 per hour.

Lead Data Scientist

Bread Financial

Draper, UT • On-site, Remote

$138K - $272K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Bread Financial rating

8.2

Company rating: 8.2 out of 10

Based on 23 frontline employees who took The Breakroom Quiz


Job description

Every career journey is personal. That's why we empower you with the tools and support to create your own success story. Be challenged. Be heard. Be valued. Be you ... be here.

Job Summary

The Data Scientist role at Bread Financial is responsible for generating data-driven insights to support enterprise data science needs within the organization. The Lead Data Scientist is pivotal in generating insights and supporting the enterprise's data science needs, as well as enhancing the team's industry competence through research in Artificial Intelligence (AI).


Essential Job Functions

  • Lead the design, build, deployment, and periodic maintenance of AI solutions. - (30%)
  • Build strong relationships with internal business partners to drive the delivery of enterprise solutions. - (20%)
  • Establishing and executing the framework for engaging enterprise partners to plan new AI solutions. - (15%)
  • Assisting with documentation, compliance, model governance, and maintenance of AI solutions. - (15%)
  • Research advanced modeling and AI techniques to improve predictive modeling and maintain business acumen in relevant industries. - (10%)
  • Training and mentoring to junior Data Scientists. Lead projects as needed or required - (10%)


Minimum Qualifications

  • Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or Economics
  • 8+ years experience in building sophisticated models using machine learning, segmentation, time series, and other advanced analytics methodologies.


Preferred Qualifications

  • Master's Degree or PhD in Statistics, Mathematics, Computer Science, Data Science, Engineering, Economics, or other quantitative fields
  • Advanced machine learning modeling and/or technical expertise in developing market differentiation data science products.
  • Experience in bank card/credit card business, consulting, retail, marketing, loyalty, and/or financial services.
  • Knowledge of Conjoint Analysis


Skills

  • Data Manipulation
  • Machine Learning
  • Python (Programming Language)
  • R Statistics
  • Statistical Analysis
  • Statistics
  • Time Series Analysis
  • Cloud Environment
  • Conjoint Analysis
  • Agentic AI


Reports To: Senior Manager and above
Direct Reports: 0
Work Environment

  • Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if within 60 miles of a posted Bread Financial location.


Travel

  • Ability to travel up to 5% annually


Physical and Mental Requirements
To perform this job successfully, an individual must be able to perform each essential job function satisfactorily and meet the physical, mental and work environment requirements. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform essential job functions, absent undue hardship.

  • Communicate/Hearing
  • Communicate/Talking
  • Stationary Position/Seated
  • Typing/Writing
  • Focus and complete tasks in situations that have a speed or productivity metric
  • Maintain focus in high pressure or fast-paced work environment

Other Duties

This job description is illustrative of the types of duties typically performed by this job. It is not intended to be an exhaustive listing of each and every essential function of the job. Because job content may change from time to time, the Company reserves the right to add and/or delete essential functions from this job at any time.

Salary Range (unless otherwise noted below):

$120,500.00 - $218,300.00

Full Salary Range for position:

California: $138,600.00 - $272,900.00Colorado: $120,500.00 - $229,200.00New York: $132,500.00 - $272,900.00Washington: $126,500.00 - $251,100.00Maryland: $126,500.00 - $240,200.00Washington DC: $138,600.00 - $251,100.00Illinois: $120,500.00 - $240,200.00New Jersey: $138,600.00 - $251,100.00Vermont: $120,500.00 - $218,300.00Ohio: $120,500.00 - $218,300.00Maine: $120,500.00 - $218,300.00Connecticut: $132,500.00 - $240,200.00Virginia: $120,500.00 - $218,300.00

The actual base pay within this range may be dependent upon many factors, which may include, but are not limited to, work location, education, experience, and skills.


You must be work authorized in the United States on a full time basis without the need for any sponsorship now or in the future from any employer or organization. The Company cannot offer employment to F-1 (student) visa holders.

Bread Financial offers medical, prescription drug, dental, vision, and other voluntary benefits (including basic and optional life insurance, supplemental medical plans, and short and long-term disability) to eligible associates (regular full-time associates scheduled to work 30 hours per week or more) and their spouses/domestic partners, and child(ren) under the age of 26. New associate elected coverage begins on date of hire (with the exception of disability coverage which has a 6-month waiting period). Six weeks of 100% paid parental leave for eligible parents is available after a 180-day waiting period. Hired associates can immediately enroll in Bread Financial's 401(k) plan.

All associates receive 11 paid holidays. Associates have discretion in managing their time away from work through the Flexible Time Off (FTO) program and may need to notify and receive approval from their manager prior to taking the time off. Associates (except those located in Illinois) receive 80 hours of Paid Sick and Safe Time ("PSST") upon hire and at the beginning of each subsequent calendar year. Illinois associates receive 40 hours of Illinois PSST upon hire and at the beginning of each subsequent calendar year and 40 hours of Illinois Paid Leave upon hire and at the beginning of each subsequent calendar year. Illinois Paid Leave must be used before associates in Illinois will be approved to take FTO.

Hired associates will be able to elect the purchase company stock during offering periods in June and December. You will be eligible for an annual incentive bonus based on individual and company performance.

Click here for more Benefits information.

About Bread Financial

At Bread Financial, you'll have the opportunity to grow your career, give back to your community, and be part of our award-winning culture. We've been consistently recognized as a best place to work nationally and in many markets and we're proud to promote an environment where you feel appreciated, accepted, valued, and fulfilled-both personally and professionally. Bread Financial supports the overall wellness of our associates with a diverse suite of benefits and offers boundless opportunities for career development and non-traditional career progression.

Bread Financial(NYSE: BFH) is a tech-forward financial services company that provides simple, personalized payment, lending and saving solutions to millions of U.S. consumers.Our payment solutions deliver growth for some of the most recognized brands in travel & entertainment, health & beauty, technology, electronics, jewelry, home and specialty apparel through ourco-brand and private label credit cards and pay-over-time products providing choice and value to our shared customers.Additionally, we offer Bread Financial general purpose credit cards and saving products that empower our customers and their passions for a better life.

Bread Financial proudly marks 30 years of success in 2026. To learn more about our global associates, our performance and our sustainability progress,visit breadfinancial.comor follow us on Instagram and LinkedIn.

  • Bread Financial offers competitive pay, a comprehensive selection of benefit options including 401(k).

  • The Company is an Equal Opportunity Employer.

  • Any applicant offered employment will be required to establish that they are legally authorized to work in the United States for the Company.

  • The Company participates in E-Verify.

  • The Company will consider for employment all qualified applicants, including those with a criminal history, in a manner consistent with the requirements of all applicable federal, state, and local laws, including the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York City Fair Chance Act. Applicants with criminal histories are encouraged to apply.

  • The Company complies with the Americans with Disabilities Act (ADA), as amended, and all applicable state/local laws. The Company will provide accommodations to applicants needing accommodations to complete the application process. Applicants with disabilities may contact the Company to request and arrange for accommodations. If you need assistance to accommodate a disability, you may request an accommodation at any time. Please contact the Recruiting Team at TaOps@breadfinancial.com.

Job Family:

Data and Analytics

Job Type:

Regular

What Bread Financial employees say

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Benefits

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