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Senior Data Scientist Machine Learning Jobs in Austin, TX

Hp

AI Data Scientist - Enterprise AI

Austin, TX

$130K - $205K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

This role sits at the intersection of applied research, machine learning engineering, data science, and business transformation. The ideal candidate combines strong technical expertise in Large ...

Victory

Data Scientist

Austin, TX · On-site +1

About the Data Scientist position We are looking for a skilled Data Scientist who will help us ... Create predictive models and machine-learning algorithms * Modify and combine different models ...

Victory

Data Scientist

Austin, TX · On-site +1

About the Data Scientist position We are looking for a skilled Data Scientist who will help us ... Create predictive models and machine-learning algorithms * Modify and combine different models ...

Smadex

Senior Data Scientist

Austin, TX · On-site

They are seeking a Senior Data Scientist to analyze complex data sets and collaborate with the ML and Product teams to enhance product performance and strategies. Responsibilities : • Analyze large ...

Victory

Data Scientist (Remote)

Austin, TX · Remote

About the Data Scientist position We are looking for a skilled Data Scientist who will help us ... Create predictive models and machine-learning algorithms * Modify and combine different models ...

Apple

Applied Scientist

Austin, TX · On-site

... Machine Learning, or Data Scientist role Familiarity with a brand range of quasi-experimental Causal Inference techniques such as diff-in-diff, synthetic control method, panel analysis, regression ...

Apple

Senior Data Scientist, Apple Ads

Austin, TX · On-site

Develop forecasting, machine learning, and optimization models that improve business performance ... in Data Science, Analytics, Machine Learning, Quantitative Research, Business Analytics, or a ...

Suncap Technology

Required Skills

Austin, TX · On-site

Senior Data Scientist Responsibilities * Contribute to development on multiple work streams ... Solid understanding of data management concepts - data processing, analytics, machine learning and ...

Striveworks

Data Scientist (Active Secret Clearance)

Austin, TX · On-site

$140K - $165K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Working as part of a team of data scientists, machine learning engineers, software engineers, and DevOps engineers, you'll develop and validate machine learning models and custom analytic algorithms ...

Striveworks

Data Scientist (Active Secret Clearance)

Austin, TX · On-site

$140K - $165K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Working as part of a team of data scientists, machine learning engineers, software engineers, and DevOps engineers, you'll develop and validate machine learning models and custom analytic algorithms ...

Striveworks

Data Scientist (Active Secret Clearance)

Austin, TX · On-site

$140K - $165K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Working as part of a team of data scientists, machine learning engineers, software engineers, and DevOps engineers, you'll develop and validate machine learning models and custom analytic algorithms ...

Apple

Senior Data Scientist, Apple Ads

Austin, TX

$150K - $277K/yr

  • Medical

  • Dental

  • Retirement

Develop forecasting, machine learning, and optimization models that improve business performance ... Data Science, or a related quantitative discipline and experience in one or more of the following ...

Apple

Senior Data Scientist, Apple Ads

Austin, TX

$150K - $277K/yr

  • Medical

  • Dental

  • Retirement

Develop forecasting, machine learning, and optimization models that improve business performance ... Data Science, or a related quantitative discipline and experience in one or more of the following ...

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Showing results 21-40

All JobsData Scientist Machine Learning JobsSenior Data Scientist Machine Learning JobsSenior Data Scientist Machine Learning Jobs in Austin, TX

Senior Data Scientist Machine Learning information

See Austin, TX salary details

$41.1K

$141.2K

$199.2K

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

As of Aug 19, 2026, the average yearly pay for senior data scientist machine learning in Austin, TX is $141,208.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,500.00 and $165,000.00 per year, depending on experience, location, and employer.

What does a senior data scientist specializing in machine learning do?

A Senior Data Scientist in Machine Learning leads the development, implementation, and optimization of advanced statistical and machine learning models to solve business problems. They analyze large, complex datasets, design predictive algorithms, and collaborate with cross-functional teams to integrate models into production systems. Additionally, they mentor junior data scientists, contribute to setting technical strategy, and often communicate findings to stakeholders to drive data-driven decision-making.

What are the key skills and qualifications needed to thrive as a senior data scientist in machine learning?

To thrive as a Senior Data Scientist in Machine Learning, you need advanced expertise in statistics, programming (Python or R), and machine learning algorithms, typically backed by a relevant degree (such as in computer science or mathematics) and several years of experience. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and cloud platforms (AWS, GCP, or Azure), as well as experience with big data technologies, is essential. Strong problem-solving, communication, and project leadership skills help drive impactful solutions and foster collaboration across teams. These skills ensure the successful design, deployment, and scaling of machine learning models that deliver business value.

How does a senior data scientist specializing in machine learning typically collaborate with cross-functional teams?

Senior Data Scientists in Machine Learning often work closely with product managers, software engineers, and business analysts to understand project goals and translate them into actionable data solutions. They are responsible for communicating complex technical concepts to non-technical stakeholders, ensuring that ML models align with business objectives. Collaboration frequently involves participating in regular strategy meetings, reviewing data pipelines with engineering teams, and providing insights that guide product development. This cross-disciplinary teamwork is essential for successfully deploying machine learning models into production environments.

What is the difference between Senior Data Scientist Machine Learning vs Data Scientist?

AspectSenior Data Scientist Machine LearningData Scientist
Required CredentialsMaster's or PhD in CS, Statistics, or related field; experience with ML frameworksBachelor's or Master's in relevant field; foundational knowledge of data analysis
Work EnvironmentAdvanced analytics teams, R&D, product developmentData analysis teams, business intelligence, reporting
Employer & Industry UsageTech companies, finance, healthcare, e-commerceSimilar industries, often entry to mid-level roles

The main difference is that Senior Data Scientist Machine Learning roles require more experience, advanced skills in ML frameworks, and often involve leading projects. Data Scientists typically focus on data analysis and reporting with less emphasis on complex ML models. Senior roles also tend to involve mentorship and strategic input.

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 cities near Austin, TX are hiring for Senior Data Scientist Machine Learning jobs?

Cities near Austin, TX with the most Senior Data Scientist Machine Learning job openings:

Senior Data Scientist Machine Learning jobs near you

Sr. Data Scientist, OTS - Data ANCHOR Team

Amazon

Austin, TX

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,096 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

The OTS ANCHOR (Analytics, Insights, and Centralized Hub for OTS Reporting) team is part of the WW IT Operations & RME organization, responsible for delivering data solutions that drive operational excellence across Amazon's global IT infrastructure. We build data pipelines, predictive models, develop analytical intelligence frameworks, and create AI-powered solutions that transform how Amazon manages, triages, and resolves IT operational incidents at scale pointing towards the Letting Data Tell the Story north start vision.
We are seeking a Senior Data Scientist to own the end-to-end data science charter for critical operational workstreams - from forecasting IT service demand and capacity planning to designing intelligent severity triaging models and building the analytical backbone for agentic AI solutions.

You will work backwards from complex operational problems to create models and solutions that directly impact the efficiency and reliability of Amazon's IT operations worldwide.
Key job responsibilities
- Design, develop, and deploy machine learning models for IT operations forecasting, including incident volume prediction, capacity planning, and workforce demand modeling
- Build and maintain severity classification and intelligent triaging models that process thousands of daily IT service tickets across global regions
- Develop anomaly detection systems to identify emerging patterns in operational data, enabling proactive incident prevention
- Create econometric and statistical frameworks to measure the impact of operational interventions and optimize resource allocation decisions
- Partner with engineering teams to productionize ML models via automated pipelines using AWS services (SageMaker, Step Functions, Lambda, Redshift)
- Design and conduct experiments to empirically validate model performance and operational impact
- Develop data quality monitoring frameworks and establish standards for operational data integrity
- Collaborate with cross-functional teams (ServiceNow platform, Decision Intelligence, Field Operations) to translate complex analytical insights into actionable strategies
- Communicate findings, model performance, and strategic recommendations to senior leaders through written documents and presentations
- Mentor junior data scientists and engineers on the team; raise the bar on scientific rigor and analytical best practices
- Contribute to the team's multi-year science roadmap, identifying new opportunities to apply ML/AI (including Generative AI and agentic architectures) to operational challenges
A day in the life
Amazon Benefits:
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1

Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4.

401(k) Plan

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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