2

Remote Data Scientist Risk Jobs in Austin, TX (NOW HIRING)

About the Data Scientist position We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. You ...

Data Scientist Remote [within the US] ABOUT THE ROLE: We're looking for a Data Scientist to join our Data Sciences and ML Engineering team. You'll be building, shipping, and improving the models and ...

Data Engineer (Remote Opportunity)

Austin, TX · On-site +1

$113K - $136K/yr

Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related field. * 4+ years of experience designing, developing, and supporting data engineering solutions in ...

In this role, you will collaborate with software engineering, data science, and product management ... Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment ...

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

next page

Showing results 1-20

Remote Data Scientist Risk information

See Austin, TX salary details

$37.2K

$121.7K

$194.8K

How much do remote data scientist risk jobs pay per year?

As of Jul 15, 2026, the average yearly pay for remote data scientist risk in Austin, TX is $121,659.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,600.00 and $134,800.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Data Scientist Risk jobs in Austin, TX? The most popular types of Data Scientist Risk jobs in Austin, TX are:
What cities near Austin, TX are hiring for Remote Data Scientist Risk jobs? Cities near Austin, TX with the most Remote Data Scientist Risk job openings:
Infographic showing various Remote Data Scientist Risk job openings in Austin, TX as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,659 per year, or $58.5 per hour.
Data Scientist (Remote)

Data Scientist (Remote)

Victory

Austin, TX • Remote

Full-time

Re-posted 28 days ago


Job description

About the Data Scientist position

We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. You will build data products to extract valuable business insights, analyze trends and help us make better decisions.

We expect you to be highly analytical with a knack for analysis, math and statistics, and a passion for machine-learning and research. Critical thinking and problem-solving skills are also required.

Data Scientist responsibilities are:
  • Research and detect valuable data sources and automate collection processes

  • Perform preprocessing of structured and unstructured data

  • Design, implement and deliver maintainable and high-quality code using best practices (e.g. Git/Github, Secrets, Configurations, Yaml/JSON)

  • Review large amounts of information to discover trends and patterns

  • Create predictive models and machine-learning algorithms

  • Modify and combine different models through ensemble modeling

  • Organize and present information using data visualization techniques

  • Develop and suggest solutions and strategies to business challenges

  • Work together with engineering and product development teams

Data Scientist requirements are:
  • 3+ years' experience of working on Data Scientist or Data Analyst position

  • Significant experience in data mining, machine-learning and operations research

  • Experience with data modeling, design patterns, building highly scalable and secured solutions preferred

  • Prior experience installing data architectures on Cloud providers (e.g. AWS,GCP,Azure), using DevOps tools and automating data pipelines

  • Good experience using business intelligence/visualization tools (such as Tableau), data frameworks (such as Hadoop, DataFrames, RDDs, Dataclasses) and data formats (CSV, JSON, Parquet, Avro, ORC)

  • Advanced knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset

  • 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