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Remote Data Science Jobs in Texas (NOW HIRING)

Capital One

Principal Associate, Data Science

Plano, TX · On-site +1

$56K - $56K/yr

Plano 5 (31065), United States of America, Plano, Texas Principal Associate, Data Science Principal Associate, Data Science positions offered by Capital One, National Association (Plano, Texas)

Bread Financial

Lead Data Scientist

Frisco, TX · On-site +1

$138K - $272K/yr

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Kemper

Data Scientist

Dallas, TX · On-site +1

Data Science is a driver of significant competitive advantage for Kemper and is critical to the ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

Vitol

Software Engineer in Data Science

Houston, TX · On-site +1

$109K - $131K/yr

Act as a local champion for data science and AI, helping users adopt tools and articulate their changes and requirements to the wider team. The individual will work both with our data scientists and ...

Vitol

Software Engineer in Data Science

Houston, TX · On-site +1

$109K - $131K/yr

Act as a local champion for data science and AI, helping users adopt tools and articulate their changes and requirements to the wider team. The individual will work both with our data scientists and ...

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Remote Data Science information

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, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

Can I work remotely in data science?

Yes, data science is a field that often offers remote work opportunities. Many companies hire data scientists to work remotely, requiring skills in programming, data analysis, and tools like Python or R. Remote data science roles typically involve collaboration through online platforms and may require strong communication skills.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

Can a data scientist work fully remote?

Yes, many data scientists work fully remote, especially in companies that prioritize flexible work arrangements. Remote data science roles often require strong communication skills, proficiency with collaboration tools, and the ability to work independently on projects using programming languages like Python or R. However, some positions may require occasional in-person meetings or on-site presence depending on company policies.

Is 40 too late for data science?

Remote data science roles are open to candidates of various ages, and starting a career at 40 is possible with relevant skills in programming, statistics, and machine learning. Many professionals transition into data science later in life by gaining certifications and building portfolios, making age less of a barrier in this field.

What Are the Qualifications to Get a Remote Data Science Job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

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

Remote data scientists can earn $100,000 or more annually by gaining advanced skills in machine learning, programming languages like Python or R, and data visualization tools. Building a strong portfolio, obtaining relevant certifications, and gaining experience in high-demand industries can help achieve this income level while working remotely.
More about Remote Data Science jobs
What are the most commonly searched types of Data Science jobs in Texas? The most popular types of Data Science jobs in Texas are:
What are popular job titles related to Remote Data Science jobs in Texas? For Remote Data Science jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Texas look for? The top searched job categories for Remote Data Science jobs in Texas are:
What cities in Texas are hiring for Remote Data Science jobs? Cities in Texas with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Texas as of July 2026, with employment types broken down into 84% Full Time, and 16% Part Time. Highlights an 100% Remote job distribution.
Principal Associate, Data Science

Principal Associate, Data Science

Capital One

Plano, TX • On-site, Remote

$56K - $56K/yr

Full-time

Posted 29 days ago

Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 144 frontline employees who took The Breakroom Quiz

75th of 150 rated banks

Job description

Plano 5 (31065), United States of America, Plano, TexasPrincipal Associate, Data Science

Principal Associate, Data Science positions offered by Capital One, National Association (Plano, Texas).

  • Exercising more discretion, partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love.

  • Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data.

  • Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation.

  • Translate the complexity of your work into tangible business goals.

Minimum Requirements:

  • Requires a bachelor's or foreign equivalent degree in Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field and 5 years of experience in performing data analytics.

  • In lieu of a bachelor's or foreign equivalent degree in the aforementioned fields and 5 years of experience as stated, employer will accept a master's or foreign equivalent degree in the aforementioned fields or an MBA or foreign equivalent degree in a quantitative concentration and 3 years of experience as stated, or a PhD or foreign equivalent degree in the aforementioned fields.

  • Must pass company assessment.

  • Position reports to Plano, TX office. Telecommuting permitted in accordance with company policy, but must live within commuting distance of stated office.

  • Experience may be, but need not be, acquired concurrently.

  • Eligible for employee referral program.

At this time, Capital One will not sponsor a new applicant for employment authorization for this position.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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