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Remote Data Science Jobs in Austin, TX (NOW HIRING)

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

Partner with data science, engineering, Revenue Operations, and executive stakeholders to define ... Remote worker reimbursement of $300/year * Professional development reimbursement We value ...

We\'re looking for a Senior Data Scientist, Applied ML to design, build, and deploy models for ... In addition to our engaging workspace in South Austin, flexible and remote-friendly work options ...

Senior Data Scientist, Applied ML

Austin, TX · On-site +1

$154K - $200K/yr

... for a Senior Data Scientist, Applied ML to design, build, and deploy models for critical ... In addition to our engaging workspace in South Austin, flexible and remote-friendly work options ...

Clinical Data Manager

Austin, TX · Remote

$125K - $175K/yr

With a strong scientific foundation and a founding team that includes the discoverer of our target ... Remote (U.S.) Responsibilities: * Lead day-to-day data management activities for assigned clinical ...

With a strong scientific foundation and a founding team that includes the discoverer of our target ... Remote (U.S.) Responsibilities: * Lead day-to-day data management activities for assigned clinical ...

Senior Technical Product Manager

Austin, TX · Remote

$129K - $170K/yr

Whether you prefer the structure of an office, the convenience of remote work, or a mix of both, we ... Partner closely with data scientists, data engineers, and ML engineers to deliver models and data ...

Data Processing Engineer

Austin, TX · On-site +1

$111K - $144K/yr

We are also open to candidates who are remote in the United States, but can travel to our ... Strong understanding of computer science fundamentals (data structures, algorithms, data processing)

Bachelor's degree in Information Systems, Computer Science, Statistics, or related field * 2+ years of experience in data analysis, preferably in an IVR or contact center environment * Experience ...

Civitech is a remote-first company hiring within our current footprint of 27 states (AL, AK, CA, CO ... Our rigorous approach to product design, testing, and data science leads to accurate assessments of ...

Civitech is a remote-first company hiring within our current footprint of 27 states (AL, AK, CA, CO ... Our rigorous approach to product design, testing, and data science leads to accurate assessments of ...

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

This is a fully remote position. Face to face communication is important to us, so we have ... Be available on a rotating schedule for production issues Experience * BS in Computer Science or ...

Showing results 41-60

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.

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.

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).

Can I work remotely as a remote data scientist?

Yes, many remote data scientist positions are available, allowing professionals to work from anywhere with a reliable internet connection. These roles often require skills in programming, data analysis, and familiarity with tools like Python, R, or SQL, and may involve collaboration through online platforms. Remote work arrangements are common in the data science field, especially with the increasing adoption of cloud-based tools and flexible schedules.

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.

What are the most commonly searched types of Data Science jobs in Austin, TX?

The most popular types of Data Science jobs in Austin, TX are:

What job categories do people searching Remote Data Science jobs in Austin, TX look for?

The top searched job categories for Remote Data Science jobs in Austin, TX are:

What cities near Austin, TX are hiring for Remote Data Science jobs?

Cities near Austin, TX with the most Remote Data Science job openings:

Infographic showing various Remote Data Science job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Data Engineer

Certifid, Inc

Austin, TX • On-site, Remote

$113K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

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


Job description

Cybercrime is rising, reaching record highs. According to the FBI\'s IC3 report total losses exceeded $16 billion. With investment fraud and BEC sams at the forefront, the message is clear: the real estate sector remains a lucrative target for cybercriminals. At CertifID, we take this threat seriously and provide a platform that verifies the identities of parties involved in transactions, authenticates wire transfer instructions, and detects potential fraud attempts. Our technology is designed to mitigate risks and ensure that every transaction is conducted with confidence and peace of mind. 

We are guided by core values and a world without wire fraud. Our team is committed to enhancing security and fighting fraud- where your work drives real, meaningful impact. We know we couldn’t take on this challenge without our incredible team and have been recognizes as one of the Best Startups to Work for in Austin, made the Inc. 5000 list, and won  Best Culture by Purpose Jobs two years in a row.
Our core values define who we are and how we work: 

  • Guard The Customer: We exist to protect people, their money and their trust. We start with their problem and build secure solutions worthy of the responsibility. 

  • Raise The Bar: Growth is something we choose every day. We push ourselves to learn, improve, and do our best work. 

  • Influence Outcomes: Leadership is how you show up. We take ownership, act with urgency, and follow through.

  • Teamwork Wins: Great work is a team effort. We show up for each other, communicate openly, and get better together.  

About This Role

We’re seeking a talented and driven Data Engineer to help us elevate our data platform. This is a high-impact role where you’ll contribute to the design and development of scalable data infrastructure, support data-driven decision-making, and play a key role in shaping the future of fraud prevention. You’ll work alongside experienced engineers and cross-functional teams in a fast-paced environment with plenty of growth opportunities.

 What You Will Do
  • Design, implement, and maintain ETL/ELT pipelines that pull and merge data from multiple internal and external systems, ensuring clean, reliable, and scalable data flows across the organization.

  • Own the data warehouse architecture, including partitioning strategy, access controls, and security, in partnership with Security and Infrastructure teams to meet compliance and performance requirements.

  • Partner with data science, engineering, Revenue Operations, and executive stakeholders to define and track KPIs, translating complex requirements into reliable data solutions that drive strategic decisions.

  • Champion data quality and governance, ensuring insights are consistent, trustworthy, and well-documented across the organization.

  • Take full ownership of billing data infrastructure, including backend warehouse tables, data models, and ongoing maintenance.

  • Build dashboards and analytics that deliver actionable insights for executive leadership, GTM, product, and finance teams.

  • Share knowledge and support the growth of peers through code reviews, documentation, and informal mentorship.

This role is hybrid and can be located in either on of our offices in Austin, Grand Rapids, or Minneapolis.

What You Will Bring

  • 5+ years of experience in data engineering or analytics engineering, ideally supporting GTM or business functions in a fast-paced environment.

  • Proven ability to manage data integrations across platforms such as Salesforce, HubSpot, Amplitude, Sigma, Clay, and similar tools.

  • Expertise in Python with strong SQL skills and experience building with a modern data stack (BigQuery, dbt, Fivetran, Airflow).

  • Familiarity with credit or financial data and the regulatory considerations that come with handling sensitive information.

  • Hands-on experience with AWS or GCP, containerization (Docker, Kubernetes), and CI/CD pipelines.

  • Experience building and maintaining scalable data visualization solutions (Sigma, Looker, Tableau).

  • Strong communication and stakeholder management skills, with the ability to partner effectively with executives and non-technical teams.

  • A bias toward action, comfort working in ambiguity, and a strong sense of ownership — you find answers rather than wait for direction.

Bonus Points
  • Experience in fintech, cybersecurity, or fraud prevention.

  • Familiarity with data privacy regulations (e.g., SOC 2, GDPR, CCPA).

  • Contributions to open-source data tools or communities.

What We Offer

  • Competitive salaries 

  • Excellent medical, dental and vision benefits

  • Participation in the employee stock option program

  • Flexible Time Off policy

  • 401k with generous company match and no vesting schedule

  • 12 company-paid holidays, 10 paid sick days and your birthday off!

  • Company paid life insurance

  • Company paid short and long-term disability

  • Generous parental paid leave

  • Wellness reimbursement of $300/year

  • Remote worker reimbursement of $300/year

  • Professional development reimbursement

We value diversity, equity and inclusion in everything we do. It is our policy to provide equal opportunity to all people without regard to race, color, religion, national origin, marital status, veteran status, age, disability, pregnancy, sex, sexual orientation, gender identity or any other legally protected category.