1

Data Scientist Machine Learning Jobs in Austin, TX

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Demonstrated experience using machine learning, deep learning, statistical methodology, and ...

The Senior Machine Learning Scientist develops advanced algorithms and models to extract valuable ... Data Analysis: Analyze large, diverse data sets to identify patterns, trends, and insights that ...

New

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Demonstrated experience using machine learning, deep learning, statistical methodology, and ...

Data Scientist

Austin, TX · On-site

$100 - $130/hr

Serve as a Data Scientist on the Employee Productivity & Support team. Act as the technical lead ... Develop, validate, and deploy production-level machine learning models, including regression ...

Data Scientist

Taylor, TX · On-site

$76K - $174K/yr

Position Summary As a Data Scientist at Samsung Austin Semiconductor, you will play a critical role ... By designing and implementing scalable machine learning pipelines, you will help reduce ...

Develop and implement advanced data science models, including deep learning, machine learning, recommendation systems, and generative models. * Lead and provide direction to technical data science ...

Showing results 21-40

Data Scientist Machine Learning information

See Austin, TX salary details

$37.2K

$121.7K

$194.8K

How much do data scientist machine learning jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data scientist machine learning 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 a data scientist machine learning?

A Data Scientist specializing in Machine Learning (ML) uses statistical methods, algorithms, and computational power to analyze data and create predictive models. They work with large datasets to identify patterns, train machine learning models, and improve decision-making processes. Responsibilities often include data cleaning, feature engineering, model selection, and performance evaluation. They may collaborate with engineers and business teams to deploy models in real-world applications. Strong skills in programming (Python, R), ML frameworks (TensorFlow, Scikit-learn), and data visualization are essential.

What are the key skills and qualifications needed to thrive in the data scientist machine learning position, and why are they important?

To excel as a Data Scientist Machine Learning, you need a strong proficiency in statistics, programming (typically Python or R), and a solid understanding of machine learning algorithms, usually backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications in data science or machine learning, is commonly expected. Analytical thinking, problem-solving skills, and effective communication are vital soft skills in this profession. These qualifications combine to drive impactful insights and enable the successful development and deployment of machine learning models in business environments.

What are the typical day-to-day responsibilities of a data scientist machine learning?

On a typical day, a Data Scientist specializing in Machine Learning might gather and preprocess data, design and implement machine learning models, and evaluate their performance to solve real-world problems. They often collaborate with data engineers, software developers, and business stakeholders to translate business objectives into technical solutions and integrate models into existing systems. Other responsibilities can include visualizing data insights, conducting experiments to tune algorithms, and staying current with new developments in the field. The work is highly collaborative and iterative, requiring clear communication with various teams to ensure project goals are met efficiently.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Austin, TX? The most popular types of Data Scientist Machine Learning jobs in Austin, TX are:
What are popular job titles related to Data Scientist Machine Learning jobs in Austin, TX? For Data Scientist Machine Learning jobs in Austin, TX, the most frequently searched job titles are:
What cities near Austin, TX are hiring for Data Scientist Machine Learning jobs? Cities near Austin, TX with the most Data Scientist Machine Learning job openings:
Infographic showing various Data Scientist Machine Learning job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% 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.

ML / NLP DATA SCIENTIST (Relocation Huntsville, Alabama) with Security Clearance

Kforce Federal Solutions

Austin, TX • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


Job description

Senior Data Scientist – TS Cleared Note: This role would require relocation if not local to Huntsville, Alabama Location: Huntsville, AL (Redstone Arsenal – Onsite M–F, Core Hours) Clearance: Active Top Secret Required Employment Type: W2 Consultant (Kforce) Benefits: Medical, Dental, Vision, 401(k), and more Contact Recruiter Directly: Brenton Anderson 📧 🔗 https://www.linkedin.com/in/myitrecruiterbrenton/ Overview We are seeking a Senior Data Scientist to support a mission-critical federal program focused on advanced analytics, artificial intelligence, machine learning, and operational intelligence supporting national security initiatives. This is a highly visible role responsible for developing and deploying advanced analytical models that transform large, complex datasets into actionable intelligence. The ideal candidate will possess deep expertise in Machine Learning (ML), Natural Language Processing (NLP), statistical modeling, and cloud-based data science solutions, with the ability to deliver mission-impacting insights in secure environments. You will work alongside elite engineering, data, and mission teams to design and implement AI/ML capabilities that support decision advantage, operational effectiveness, and enterprise-scale analytics initiatives. Key Responsibilities
Design, develop, and deploy advanced machine learning models supporting mission-critical objectives
Develop Natural Language Processing (NLP) solutions for extracting insights from structured and unstructured data
Build predictive and prescriptive analytics solutions using large, complex datasets
Research, evaluate, and implement AI/ML algorithms to solve complex operational challenges
Develop and optimize data science workflows using Python, Java, or Scala
Leverage AWS cloud services to support scalable machine learning and analytics environments
Collaborate with Data Engineers, Software Engineers, and mission stakeholders to operationalize AI solutions
Support MLOps and CI/CD processes utilizing Git and GitLab environments
Create visualizations, reports, and presentations that communicate analytical findings to technical and non-technical stakeholders
Ensure models meet performance, reliability, explainability, and security requirements within a cleared environment
Stay current on emerging technologies and industry best practices in AI, machine learning, and data science Required Qualifications
Active Top Secret clearance Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or related field
Extensive experience developing and deploying Machine Learning models in production environments
Strong experience with Natural Language Processing (NLP), text analytics, and language modeling techniques
Strong programming experience with Python, Java, or Scala
Experience working with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, Spark ML, or similar technologies
Experience utilizing AWS cloud services for analytics, data science, or machine learning workloads
Experience working with Git or GitLab in CI/CD environments
Strong understanding of statistical analysis, predictive modeling, and data mining techniques
Experience working with large, complex datasets in secure or regulated environments
Ability to operate independently at a Senior or SME level and drive solutions from concept through deployment Preferred Qualifications
Master's Degree or PhD in Data Science, Computer Science, Artificial Intelligence, Mathematics, Statistics, or related field Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or AI governance frameworks
Experience with distributed data processing platforms and cloud-native architectures
Familiarity with MLOps pipelines and model deployment frameworks
Prior experience supporting federal, defense, intelligence, or national security programs Work Environment
Fully onsite at Redstone Arsenal (Huntsville, AL)
Monday–Friday within standard core business hours
Secure facility requiring strict adherence to security protocols
Fast-paced, mission-focused environment supporting real-world operational needs
Direct collaboration with highly skilled technical teams Why Join Kforce? As a W2 consultant with Kforce, you'll have access to a strong benefits package and ongoing support: Aetna Medical, Dental, and Vision coverage
401(k) retirement plan with options to invest
Competitive weekly pay
Paid time off (where applicable)
Dedicated recruiter and care team support
Opportunities to work on high-visibility, mission-driven programs
Impact This role provides the opportunity to develop cutting-edge AI and machine learning solutions that directly support national security initiatives, advanced operational analytics, and mission-critical decision-making in a highly secure environment. Your expertise will help transform complex data into actionable intelligence that drives operational success and strategic advantage. Apply Today Join a team where your expertise in Machine Learning, Natural Language Processing, Artificial Intelligence, and Advanced Analytics directly contributes to mission success. The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future. We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions. Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. By clicking "Apply Today" you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP. Brenton Anderson Technical Recruiter Kforce Government Solutions