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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

Data Scientist

Frisco, TX · On-site +1

$101K - $198K/yr

Job Summary The Data Science role at Bread Financial delivers best-in-class actionable business ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

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 ...

Victory

Data Scientist

Austin, TX · On-site +1

MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred * Must be a U.S. Citizen

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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 June 2026, with employment types broken down into 1% As Needed, 74% Full Time, 19% Part Time, 5% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Senior Manager, Data Science / Ai / ML

Senior Manager, Data Science / Ai / ML

Lockheed Martin

Fort Worth, TX • On-site, Remote

Other

Posted 18 hours ago

Lockheed Martin rating

8.2

Company rating: 8.2 out of 10

Based on 387 frontline employees who took The Breakroom Quiz

30th of 60 rated aerospace companies

Job description

Global Production Operations is hiring a Senior Manager to lead our OpsDev team, responsible for identifying & injecting Application / Ai /ML / Data Science solutions into our operations environments.
OpsDev is a multi-disciplinary team consisting of applications engineers, AI/ML/Data science engineers and embedded Forward Deployed Engineers (FDEs).
This role will have a particular focus on supporting the development of products by working with stakeholders to understand their business needs, translate them into data problems, and then set the direction to solve those problems. This individual must drive the work from prototype through to completion and delivery of a minimum viable product or final product so that the business users capture value from the work of the team.
The ideal candidate will have strong focus on the end user experience, ensuring appropriate translation of requirements across different functional vernaculars.
What's In It For You:
From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security, Learn more about Lockheed Martin's comprehensive benefits package here.
Do you want to be part of a company culture that empowers employees to think big, lead with a growth mindset, and make the impossible a reality? We provide the resources and give you the flexibility to enable inspiration and focus -if you have the passion and courage to dream big, work hard, and have fun doing what you love then we want to build a better tomorrow with you.
Who You Are
You are a multi-faceted teammate able to communicate and function effectively on an engineering team to create a collaborative environment that allows for the establishment of mission goals. Self-motivated and inspired, you thrive in an environment where you are empowered to work your craft, never settling for the bare minimum.

What Lockheed Martin employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Lockheed Martin

Sourced by ZipRecruiter

As a global security and aerospace company, the majority of Lockheed Martin's business is with the U.S. Department of Defense and U.S. federal government agencies.The remaining portion of Lockheed Martin's business is comprised of international government and commercial sales of products, services and platforms.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Bethesda, MD, US

Year founded

1912

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