Applied Scientist
Austin, TX · On-site
We are currently seeking an experienced and passionate Applied Scientist, who will work on innovative products at the intersection of causal inference, statistics, and machine learning to help ...
Applied Scientist
Austin, TX · On-site
We are currently seeking an experienced and passionate Applied Scientist, who will work on innovative products at the intersection of causal inference, statistics, and machine learning to help ...
Applied Scientist
$175K - $308K/yr
We are currently seeking an experienced and passionate Applied Scientist, who will work on innovative products at the intersection of causal inference, statistics, and machine learning to help ...
Applied Scientist
$175K - $308K/yr
We are currently seeking an experienced and passionate Applied Scientist, who will work on innovative products at the intersection of causal inference, statistics, and machine learning to help ...
Applied Scientist
$175K - $308K/yr
We are currently seeking an experienced and passionate Applied Scientist, who will work on innovative products at the intersection of causal inference, statistics, and machine learning to help ...
Applied Scientist
$175K - $308K/yr
We are currently seeking an experienced and passionate Applied Scientist, who will work on innovative products at the intersection of causal inference, statistics, and machine learning to help ...
Applied Scientist
Austin, TX · On-site
Applied Scientist We are hiring an Applied Scientist with experience in performing hyperparameter optimizations, evaluating model performance, and deploying production natural language systems.
Applied Scientist
Austin, TX · On-site
Applied Scientist We are hiring an Applied Scientist with experience in performing hyperparameter optimizations, evaluating model performance, and deploying production natural language systems.
Applied Scientist
Austin, TX · On-site
Applied Scientist We are hiring an Applied Scientist with experience in performing hyperparameter optimizations, evaluating model performance, and deploying production natural language systems.
Applied Scientist
Austin, TX · On-site
Applied Scientist We are hiring an Applied Scientist with experience in performing hyperparameter optimizations, evaluating model performance, and deploying production natural language systems.
Senior Applied Scientist
Frisco, TX · Hybrid
$85K - $117K/yr
About the Role As a Senior Applied Scientist, you will lead end-to-end applied research projects that drive product innovation in legal intelligence, tax automation, or regulatory compliance. You ...
Senior Applied Scientist
Frisco, TX · Hybrid
$85K - $117K/yr
About the Role As a Senior Applied Scientist, you will lead end-to-end applied research projects that drive product innovation in legal intelligence, tax automation, or regulatory compliance. You ...
Applied Scientist
Austin, TX · On-site
$170 - $230/hr
We are hiring an Applied Scientist with experience in performing hyperparameter optimizations, evaluating model performance, and deploying production natural language systems. Working with an elite ...
Applied Scientist
Austin, TX · On-site
$170 - $230/hr
We are hiring an Applied Scientist with experience in performing hyperparameter optimizations, evaluating model performance, and deploying production natural language systems. Working with an elite ...
Lead Applied Scientist
Frisco, TX · Hybrid
About the Role As a Lead Applied Scientist, you will define research strategy and lead high-impact initiatives that shape Thomson Reuters' AI/ML roadmap across multiple product features. You will ...
Lead Applied Scientist
Frisco, TX · Hybrid
About the Role As a Lead Applied Scientist, you will define research strategy and lead high-impact initiatives that shape Thomson Reuters' AI/ML roadmap across multiple product features. You will ...
Applied Scientist
Arlington, TX · On-site
Mathematics, theoretical physics, theoretical computer science, or a related discipline. PhD ... Background in optimization, control theory, queueing theory, or information theory applied to real ...
Applied Scientist
Arlington, TX · On-site
Mathematics, theoretical physics, theoretical computer science, or a related discipline. PhD ... Background in optimization, control theory, queueing theory, or information theory applied to real ...
Lead Applied Scientist
Frisco, TX · On-site
$130 - $160/hr
About the Role As a Lead Applied Scientist, you will define research strategy and lead high‑impact initiatives that shape Thomson Reuters' AI/ML roadmap across multiple product features. You will ...
Lead Applied Scientist
Frisco, TX · On-site
$130 - $160/hr
About the Role As a Lead Applied Scientist, you will define research strategy and lead high‑impact initiatives that shape Thomson Reuters' AI/ML roadmap across multiple product features. You will ...
Lead Applied Scientist, Document Understanding About the Role This role sits within the applied science function. You will own the design, development, and production deployment of document ...
Lead Applied Scientist, Document Understanding About the Role This role sits within the applied science function. You will own the design, development, and production deployment of document ...
The Applied Science team serves this mission by building bold and ambitious AI systems. We are curious, dedicated, and humble. We understand complexity, uphold rigor, and measure relentlessly. We ...
The Applied Science team serves this mission by building bold and ambitious AI systems. We are curious, dedicated, and humble. We understand complexity, uphold rigor, and measure relentlessly. We ...
Senior Applied Scientist, Document Understanding
$85K - $117K/yr
Senior Applied Scientist, Document Understanding About the Role This is an applied science position focused on designing, building, and deploying production-grade document understanding systems that ...
Senior Applied Scientist, Document Understanding
$85K - $117K/yr
Senior Applied Scientist, Document Understanding About the Role This is an applied science position focused on designing, building, and deploying production-grade document understanding systems that ...
Lead Applied Scientist, Marketing
Dallas, TX · On-site
$175 - $200/hr
Expert Python and SQL EXPERIENCE: 5+ years in a hands‑on, in‑the‑weeds applied data science role delivering measurable business impact. YOUR ROLE Own the full data science engine for a priority ...
Lead Applied Scientist, Marketing
Dallas, TX · On-site
$175 - $200/hr
Expert Python and SQL EXPERIENCE: 5+ years in a hands‑on, in‑the‑weeds applied data science role delivering measurable business impact. YOUR ROLE Own the full data science engine for a priority ...
Applied Scientists in AWS Automated Reasoning are dedicated to making AWS the best computing service in the world for customers who require advanced and rigorous solutions for automated reasoning ...
Applied Scientists in AWS Automated Reasoning are dedicated to making AWS the best computing service in the world for customers who require advanced and rigorous solutions for automated reasoning ...
Applied Scientists in AWS Automated Reasoning are dedicated to making AWS the best computing service in the world for customers who require advanced and rigorous solutions for automated reasoning ...
Applied Scientists in AWS Automated Reasoning are dedicated to making AWS the best computing service in the world for customers who require advanced and rigorous solutions for automated reasoning ...
Applied Scientists in AWS Automated Reasoning are dedicated to making AWS the best computing service in the world for customers who require advanced and rigorous solutions for automated reasoning ...
Applied Scientists in AWS Automated Reasoning are dedicated to making AWS the best computing service in the world for customers who require advanced and rigorous solutions for automated reasoning ...
Amazon Security is seeking an Applied Scientist to work on GenAI acceleration within the Secure Third Party Tools (S3T) organization. The S3T team has bold ambitions to re-imagine security products ...
Amazon Security is seeking an Applied Scientist to work on GenAI acceleration within the Secure Third Party Tools (S3T) organization. The S3T team has bold ambitions to re-imagine security products ...
PhD in machine learning, computer science, electrical engineering, or a related field is preferred. Key job responsibilities Responsibilities Design, train, fine-tune, and evaluate custom foundation ...
PhD in machine learning, computer science, electrical engineering, or a related field is preferred. Key job responsibilities Responsibilities Design, train, fine-tune, and evaluate custom foundation ...
Amazon Security is seeking an Applied Scientist to work on GenAI acceleration within the Secure Third Party Tools (S3T) organization. The S3T team has bold ambitions to re-imagine security products ...
Amazon Security is seeking an Applied Scientist to work on GenAI acceleration within the Secure Third Party Tools (S3T) organization. The S3T team has bold ambitions to re-imagine security products ...
Applied Scientist information
See Texas salary details
$101.6K - $109.1K
6% of jobs
$109.1K - $116.5K
6% of jobs
$116.5K - $124K
7% of jobs
$130.7K is the 25th percentile. Wages below this are outliers.
$124K - $131.5K
5% of jobs
$131.5K - $139K
4% of jobs
$139K - $146.4K
4% of jobs
$146.4K - $153.9K
12% of jobs
The median wage is $155.9K / yr.
$153.9K - $161.4K
16% of jobs
$161.4K - $168.9K
13% of jobs
$169.2K is the 75th percentile. Wages above this are outliers.
$168.9K - $176.3K
13% of jobs
$176.3K - $183.8K
13% of jobs
$101.6K
$152.2K
$183.8K
How much do applied scientist jobs pay per year?
As of Sep 1, 2026, the average yearly pay for applied scientist in Texas is $152,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,915.00 and $172,808.00 per year, depending on experience, location, and employer.
What does an applied scientist do?
An Applied Scientist uses scientific principles, data analysis, and machine learning techniques to solve real-world problems. They work on developing models, conducting experiments, and deploying data-driven solutions in various industries such as technology, healthcare, and finance. Their role often involves collaborating with engineers and product teams to integrate research findings into practical applications. Strong programming skills, statistical knowledge, and domain expertise are essential for success in this field.
What are the key skills and qualifications needed to thrive as an applied scientist?
To thrive as an Applied Scientist, you need a solid background in mathematics, statistics, data analysis, and programming, usually supported by an advanced degree in a relevant field. Familiarity with programming languages like Python or R, machine learning frameworks, and tools such as TensorFlow or PyTorch is typically required. Strong problem-solving abilities, collaborative skills, and effective communication help you stand out in this role. These skills and qualities are vital for developing innovative solutions, interpreting complex data, and effectively conveying insights to both technical and non-technical stakeholders.
Do you need a PhD to be an Applied Scientist?
A PhD is not strictly required to become an Applied Scientist, but many roles prefer candidates with advanced degrees in fields like computer science, machine learning, or data science. Relevant skills, experience, and proficiency with tools such as Python, TensorFlow, or cloud platforms are often more important for hiring decisions.
How much does an applied scientist make?
Applied scientists typically earn a median salary ranging from $100,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning, data analysis, or programming may have higher compensation, often exceeding $180,000 per year.
What is the job of an applied scientist?
An applied scientist conducts research to develop practical solutions by applying scientific principles, often in fields like machine learning, data analysis, or engineering. They design experiments, analyze data, and create models or algorithms to solve real-world problems, frequently using tools like programming languages and statistical software.
What are the most commonly searched types of Applied Scientist jobs in Texas?
The most popular types of Applied Scientist jobs in Texas are:
What are popular job titles related to Applied Scientist jobs in Texas?
For Applied Scientist jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Applied Scientist jobs in Texas look for?
The top searched job categories for Applied Scientist jobs in Texas are:
What cities in Texas are hiring for Applied Scientist jobs?
Cities in Texas with the most Applied Scientist job openings:
Applied Scientist
Austin, TX • On-site
Apple •
Computer and Electronic Product Manufacturing • 10K+ employees10,000+ employees
8.1
Based on 679 frontline employees who took The Breakroom Quiz
6th of 30 rated technology retailers
People enjoy working here
Good employer
Recommended by students
Paid breaks
Recommended by parents
Full-time
Re-posted 28 days ago
Job description
Services at Apple help hundreds of millions of customers get the most out of the devices they love through amazing apps, award-winning shows and movies, immersive music in spatial audio, world-class workouts and meditations, super fun games and more! The Services Data Science & Analytics organization is passionate about developing discerning insights and AIML solutions to help continually improve these services and accelerate growth while maintaining a strong dedication to customer privacy.
We are currently seeking an experienced and passionate Applied Scientist, who will work on innovative products at the intersection of causal inference, statistics, and machine learning to help optimize marketing channels, via observational testing frameworks, counterfactual modeling, and lifetime value estimation. As a key member of our diverse organization, you'll have the rare and rewarding opportunity to work with datasets of unique magnitude, richness, and dedication to privacy that will frequently require novel approaches. You'll work alongside partners across Business, Marketing, Product, Finance, and Engineering daily to deliver material customer and business value.
Description
As an Applied Scientist, you will have the responsibility of pushing the boundaries of how Causal Inference and AIML can be leveraged to better serve our customers. You will be at the forefront of designing, developing, and deploying cutting-edge Causal Inference solutions, that directly impact our products and provide a granular understanding of key marketing effectiveness. You will also be instrumental in defining the technical vision, strategy, and execution roadmap for our AIML initiatives, ensuring that we deliver high-quality, scalable, and impactful models that solve complex customer acquisition and engagement challenges. You will also be a key driver in fostering a vibrant culture of innovation, continuous learning, and collaborative problem-solving.
Minimum Qualifications
Master's degree in Statistics, Economics, Mathematics, Machine Learning, Computer Science, Engineering, or a related technical field
3+ years of experience as an Applied Scientist, 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 discontinuity design, interrupted time series, and propensity score matching
Hands-on experience building Marketing Mix models and validation through Matched Market testing
Solid understanding of AIML technologies including Generative AI
Proven track record of successfully delivering complex projects from start to finish
Proficiency in programming languages such as Python, R, SQL, Java, or C++
Experience with cloud platforms, Spark, Docker, and MLOps tools and best practices
Excellent communication, collaboration, and presentation skills with meticulous attention to detail
Preferred Qualifications
PhD in related field
Hands-on experience leveraging Generative AI to improve productivity and generate new insights
Curious business attitude with an ability to condense complex concepts and models into clear and concise takeaways that drive action
We are currently seeking an experienced and passionate Applied Scientist, who will work on innovative products at the intersection of causal inference, statistics, and machine learning to help optimize marketing channels, via observational testing frameworks, counterfactual modeling, and lifetime value estimation. As a key member of our diverse organization, you'll have the rare and rewarding opportunity to work with datasets of unique magnitude, richness, and dedication to privacy that will frequently require novel approaches. You'll work alongside partners across Business, Marketing, Product, Finance, and Engineering daily to deliver material customer and business value.
Description
As an Applied Scientist, you will have the responsibility of pushing the boundaries of how Causal Inference and AIML can be leveraged to better serve our customers. You will be at the forefront of designing, developing, and deploying cutting-edge Causal Inference solutions, that directly impact our products and provide a granular understanding of key marketing effectiveness. You will also be instrumental in defining the technical vision, strategy, and execution roadmap for our AIML initiatives, ensuring that we deliver high-quality, scalable, and impactful models that solve complex customer acquisition and engagement challenges. You will also be a key driver in fostering a vibrant culture of innovation, continuous learning, and collaborative problem-solving.
Minimum Qualifications
Master's degree in Statistics, Economics, Mathematics, Machine Learning, Computer Science, Engineering, or a related technical field
3+ years of experience as an Applied Scientist, 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 discontinuity design, interrupted time series, and propensity score matching
Hands-on experience building Marketing Mix models and validation through Matched Market testing
Solid understanding of AIML technologies including Generative AI
Proven track record of successfully delivering complex projects from start to finish
Proficiency in programming languages such as Python, R, SQL, Java, or C++
Experience with cloud platforms, Spark, Docker, and MLOps tools and best practices
Excellent communication, collaboration, and presentation skills with meticulous attention to detail
Preferred Qualifications
PhD in related field
Hands-on experience leveraging Generative AI to improve productivity and generate new insights
Curious business attitude with an ability to condense complex concepts and models into clear and concise takeaways that drive action
About Apple
Sourced by ZipRecruiter
Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Cupertino, CA, US
Year founded
1976
