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

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 Employment Type: FULL_TIME

Data Scientist

Taylor, TX ยท On-site

$76K - $174K/yr

Bachelor's or higher in Computer Science, Data Science, or a related quantitative field (or ... Wellness incentives and MORE Eligible full-time employees (salaried or hourly) may also receive MBO ...

This is a full-time position based in Austin, TX Product & ML Strategy Influence * Own the ... Statistics, Computer Science, Data Science, or Economics). * Technical Mastery: Advanced ...

This is a full-time position based in Austin, TX Product & ML Strategy Influence * Own the ... Statistics, Computer Science, Data Science, or Economics). * Technical Mastery: Advanced ...

... Data Science initiatives across Amazon's global fulfillment and maintenance networks You will ... The benefits that generally apply to regular, full-time employees include: - Medical, Dental, and ...

Data Engineer II, OTS - Data ANCHOR Team

Austin, TX ยท On-site

$113K - $136K/yr

... Data Science initiatives across Amazon's global fulfillment and maintenance networks You will ... The benefits that generally apply to regular, full-time employees include: - Medical, Dental, and ...

Data Engineer II, OTS - Data ANCHOR Team

Austin, TX ยท On-site

$113K - $136K/yr

... Data Science initiatives across Amazon's global fulfillment and maintenance networks. You will ... The benefits that generally apply to regular, full-time employees include: - Medical, Dental, and ...

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Showing results 1-20

Fulltime Data Science information

See Austin, TX salary details

$37.2K

$121.7K

$194.8K

How much do fulltime data science jobs pay per year?

As of Aug 3, 2026, the average yearly pay for fulltime data science 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 is the difference between Fulltime Data Science vs Part-time Data Science?

AspectFulltime Data SciencePart-time Data Science
Work HoursTypically 35-40 hours/weekLess than 20 hours/week
Employment TypePermanent, full benefitsTemporary or flexible arrangement
CredentialsOften requires a degree in Data Science, Statistics, or related fieldsSame credentials as fulltime, but may vary based on project needs
Work EnvironmentOffice or remote, integrated with teamFlexible, often remote or freelance

Fulltime Data Science roles involve consistent, long-term employment with comprehensive benefits, requiring full credentials and offering a stable work environment. Part-time Data Science positions provide flexibility and shorter commitments, suitable for project-based work or supplementary income, with similar credential requirements but fewer benefits.

What job categories do people searching Fulltime Data Science jobs in Austin, TX look for? The top searched job categories for Fulltime Data Science jobs in Austin, TX are:
What cities near Austin, TX are hiring for Fulltime Data Science jobs? Cities near Austin, TX with the most Fulltime Data Science job openings:

Full-time

Re-posted 13 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