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

Victory

Data Scientist (Remote)

Austin, TX · Remote

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 ...

HiddenLayer

Data Scientist

Austin, TX · Remote

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 ...

Fliff

Senior Data Scientist

Austin, TX · On-site +1

... risk, CAC payback, and propensity-to-convert models > * Own marketing attribution and ... as a data scientist, marketing analyst, or growth analyst, ideally in a consumer app, gaming ...

Fliff

Senior Data Scientist

Austin, TX · Remote

... churn risk, CAC payback, and propensity-to-convert models * Own marketing attribution and ... as a data scientist, marketing analyst, or growth analyst, ideally in a consumer app, gaming ...

HiddenLayer

AI Red Teamer

Austin, TX · On-site +1

Collaborate with data scientists, engineering, and research teams to design and implement novel ... Fully Remote: We are a completely remote global team. Though we're distributed, we are intentional ...

Gainwell Technologies LLC

Principal Data Sciences

Austin, TX · On-site +1

$124K - $177.10K/yr

Summary As a(n) Principal Data Sciences at Gainwell, you can contribute your skills as we harness ... Fully Remote Opportunity - Work from anywhere in the U.S. * Minimal Travel Required - Occasional ...

New

IQVIA

Lead Clinical Data Manager (Remote)

Austin, TX · Remote

$68.50K - $217.10K/yr

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 ...

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

As of May 29, 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:
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Infographic showing various Remote Data Scientist Risk job openings in Austin, TX as of May 2026, with employment types broken down into 1% Internship, 2% As Needed, 81% Full Time, 7% Part Time, and 9% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $121,659 per year, or $58.5 per hour.
DATA SCIENTIST

DATA SCIENTIST

Adidev Technologies Inc

Austin, TX • Remote

Full-time

Posted 7 days ago

Job description

Adidev Technologies Inc 

www.adidevtechnologies.com

URGENT HIRE - HIRING PROCESS - 24-48 HOURS!

Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.

If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.

Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly

 

Job Description

  • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation systems, environmental systems, and/or agronomic problems.
  • Strong foundation in Python programming in a cloud environment.
  • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills
  • Expertise in data wrangling using SQL,
  • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes
  • Fluency in querying/extracting/aggregating data via SQL scripting.
  • Extract, load and transform data (ETL) from structured and unstructured sources
  • Apply Natural Language Processing and Computer Vision to solve business use cases,
  • Strong skills in scientific data analyses, modeling, visualization and communication of results.
  • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction
  • Ph.D., M.S. or B.S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline


Must  have 

  • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
  • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization)
  • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM)
  • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.)
  • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.)
  • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras
  • Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
  • Distributed computing tools and cloud technology (AWS)

QUALIFICATIONS

  • Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred

  • At least 2 yrs of relevant experience in Data Science


SKILLS

  • SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production, Python programming, AWS, Domains(Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data warehouse

Benefits

  • Competitive Salary

  • Paid Relocation

  • Remote Support

  • Guaranteed Regular Salary Reviews

  • Job Type: W2 or Contract 1099 (full-time - 40 hours)

Employment Type: FULL_TIME

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