Applied Scientist Jobs in Texas
Applied Scientist jobs in Texas are among the most active in the country, concentrated in machine learning, natural language processing, and statistical modeling across technology, aerospace, energy, and healthcare sectors, with openings at every level from entry-level researcher through principal and staff scientist. Austin, Dallas, and Houston anchor most of the hiring, where established employers like Amazon, Meta, and ExxonMobil maintain large technical operations and research functions. Demand is especially strong in generative AI applications, recommendation systems, and applied ML for industrial and energy forecasting. Find a role that fits below and apply directly.
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Showing 5 of 8+ Applied Scientist jobs
DESCRIPTION
The People eXperience Technology (PXT) Central Science (PXTCS)'s mission is to make PXT the most scientific, technologically proficient, and inclusive HR organization in the world. PXTCS does this by accelerating scientific rigor in business-led initiatives, working backwards from employee experience, and delivering science-driven products that improve the well-being of and value of work for Amazonian worldwide.
We are seeking an Applied Scientist to build production machine learning systems that turn Amazon's employee listening signals into insight at scale. You will design, develop, and deploy ML solutions that transform large volumes of employee feedback — survey responses, free-text comments, and other listening channels — into signals that drive strategic decision-making across the organization. In this role, you will work on challenging problems spanning natural language processing, large language models, predictive modeling, and generative AI applications applied to employee experience. You will collaborate with cross-functional teams to translate ambiguous business challenges into rigorous technical solutions.
Key job responsibilities
- Apply and adapt state-of-the-art NLP and machine learning techniques to extract structured, reliable signals from employee listening data (surveys, free-text feedback, and related channels), using reasonable assumptions, data, and customer requirements.
- Design, develop, and implement small-to-medium ML components on top of the employee listening system — such as theme and sentiment extraction, text classification, and aggregated signal generation — with input and guidance from senior scientists, taking ownership of the code in your components.
- Write secure, stable, testable, maintainable, well-reviewed code (at the SDE I bar) to deliver solutions into production that benefit customers and the business.
- Design features and signals responsibly, applying privacy-preserving practices appropriate to sensitive employee data.
- Collaborate with cross-functional partners to understand business context and impact, and help mentor interns.
- Communicate complex technical concepts to diverse audiences, from technical peers to senior leadership.
About the team
The People eXperience and Technology Central Science Team (PXTCS) uses economics, applied science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, and the value of work to Amazonians. We build and apply science on top of Amazon's employee listening systems — turning what Amazonians tell us into products and insights that improve their experience. We are an interdisciplinary team that combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal.
BASIC QUALIFICATIONS
- Experience programming in Java, C++, Python or related language
- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse
PREFERRED QUALIFICATIONS
- Experience implementing algorithms using both toolkits and self-developed code
- Have publications at top-tier peer-reviewed conferences or journals
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, CA, San Francisco - 157,300.00 - 212,800.00 USD annually
USA, MA, Boston - 136,000.00 - 184,000.00 USD annually
USA, TX, Austin - 136,000.00 - 184,000.00 USD annually
USA, VA, Arlington - 136,000.00 - 184,000.00 USD annually
USA, WA, Bellevue - 136,000.00 - 184,000.00 USD annually
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually
DESCRIPTION
The People eXperience Technology (PXT) Central Science (PXTCS)'s mission is to make PXT the most scientific, technologically proficient, and inclusive HR organization in the world. PXTCS does this by accelerating scientific rigor in business-led initiatives, working backwards from employee experience, and delivering science-driven products that improve the well-being of and value of work for Amazonian worldwide.
We are seeking an Applied Scientist to build production machine learning systems that turn Amazon's employee listening signals into insight at scale. You will design, develop, and deploy ML solutions that transform large volumes of employee feedback — survey responses, free-text comments, and other listening channels — into signals that drive strategic decision-making across the organization. In this role, you will work on challenging problems spanning natural language processing, large language models, predictive modeling, and generative AI applications applied to employee experience. You will collaborate with cross-functional teams to translate ambiguous business challenges into rigorous technical solutions.
Key job responsibilities
- Apply and adapt state-of-the-art NLP and machine learning techniques to extract structured, reliable signals from employee listening data (surveys, free-text feedback, and related channels), using reasonable assumptions, data, and customer requirements.
- Design, develop, and implement small-to-medium ML components on top of the employee listening system — such as theme and sentiment extraction, text classification, and aggregated signal generation — with input and guidance from senior scientists, taking ownership of the code in your components.
- Write secure, stable, testable, maintainable, well-reviewed code (at the SDE I bar) to deliver solutions into production that benefit customers and the business.
- Design features and signals responsibly, applying privacy-preserving practices appropriate to sensitive employee data.
- Collaborate with cross-functional partners to understand business context and impact, and help mentor interns.
- Communicate complex technical concepts to diverse audiences, from technical peers to senior leadership.
About the team
The People eXperience and Technology Central Science Team (PXTCS) uses economics, applied science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, and the value of work to Amazonians. We build and apply science on top of Amazon's employee listening systems — turning what Amazonians tell us into products and insights that improve their experience. We are an interdisciplinary team that combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal.
BASIC QUALIFICATIONS
- Experience programming in Java, C++, Python or related language
- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse
PREFERRED QUALIFICATIONS
- Experience implementing algorithms using both toolkits and self-developed code
- Have publications at top-tier peer-reviewed conferences or journals
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, CA, San Francisco - 157,300.00 - 212,800.00 USD annually
USA, MA, Boston - 136,000.00 - 184,000.00 USD annually
USA, TX, Austin - 136,000.00 - 184,000.00 USD annually
USA, VA, Arlington - 136,000.00 - 184,000.00 USD annually
USA, WA, Bellevue - 136,000.00 - 184,000.00 USD annually
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually
See All 8 Applied Scientist Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find Applied Scientist JobsApplied Scientist Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
Applied Scientist Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
What Texas Employers Look For
The qualifications that appear most often in applied scientist jobs across Texas.
- Master's or PhD in computer science, statistics, or a related quantitative field
- Proficiency in Python, R, or Scala with demonstrated experience building production ML models
- Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX
- Track of published research, patents, or deployed models in a relevant technical domain
- Ability to translate ambiguous business problems into structured machine learning solutions
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for model deployment
Applied Scientist Jobs in Texas: Frequently Asked Questions
How do you become a applied scientist in Texas?
Applied scientist roles in Texas do not require a state-issued license, but employers consistently expect a graduate degree in computer science, statistics, applied mathematics, or a closely related field. Most Texas hiring managers look for a master's degree at minimum, with a PhD preferred for research-heavy positions. Candidates who supplement their education with published work, open-source contributions, or a demonstrable portfolio of deployed models move through the interview process faster in the Texas market.
How much do applied scientists make in Texas?
Applied scientists in Texas earn a median of about $122,090 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $64,540 for the lowest 10% to over $170,780 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire applied scientists in Texas?
Employers hiring applied scientists in Texas right now include SentiLink, Amazon, and Braze, based on current listings on Migrate Mate as of November 2026. Texas's concentration of technology campuses, energy majors, and healthcare systems means demand comes from a broader range of industries than most states, so openings appear across sectors well beyond pure software.
Which Texas cities have the most applied scientist jobs?
Austin, Plano, and Houston have the most applied scientist openings in Texas. Austin's dense technology corridor draws the largest share, driven by major cloud and consumer-tech campuses, while Dallas benefits from a strong financial services and telecom presence, and Houston's energy and medical industries generate consistent demand for applied scientists working on optimization, forecasting, and clinical analytics.
Are there remote applied scientist jobs in Texas?
Yes, and more than most fields. Applied scientist work is largely analytical and code-based, which makes it well-suited to remote arrangements. About 67% of applied scientist openings tied to Texas are remote or hybrid as of November 2026, reflecting how broadly distributed technical teams have become. Roles focused on modeling, experimentation, and research tend to be the most remote-eligible, while positions requiring close collaboration with hardware or on-site data infrastructure are more likely to require in-person presence.
How can I get hired as a applied scientist in Texas with little or no experience?
The most realistic entry path is a research internship or rotational program at a large Texas employer while completing a graduate degree. Companies like Amazon and Meta run structured intern-to-full-time pipelines out of their Austin and Dallas offices, and several Houston-area energy firms sponsor early-career data science rotations that feed into applied scientist tracks. Candidates without prior industry experience benefit most from a strong thesis project, a Kaggle portfolio with reproducible code, or a published paper, combined with adjacent roles like data analyst or ML engineer that build production credibility before a lateral move.
Where can I find and apply to applied scientist jobs in Texas?
You can find and apply to applied scientist jobs in Texas on Migrate Mate, which lists current Texas openings. Search the available roles, find the ones that fit your background and target location, and apply directly to each position from the listing.
See All 8 Applied Scientist Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
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