Top 121 Senior applied scientist Jobs in Texas

Senior Applied Scientist - Predictive Scoring, AWS Marketing Science
Amazon Web Services, Inc. —Austin, TX
- $167,100 - $226,100 a year
- Full-time
- 6 years
- Java
- Master's degree
- AD&D insurance
- Health insurance
11d
Senior Applied Scientist, Applied AI Solutions GTM
Amazon Development Center U.S., Inc. —Dallas, TX
- $167,100 - $260,000 a year
- Full-time
- 5 years
- Master's degree
- Doctor of Philosophy
- AD&D insurance
- Health insurance
Lead Applied Research Scientist – Finance
Siemens —Plano, TX
- $109,800 - $197,700 a year
- Multiple hires
- Hybrid work
- Azure
- Computer Science
- SQL
- Paid parental leave
- Health insurance
Senior Applied Scientist, AWS Marketplace Science
Amazon Web Services, Inc. —Austin, TX
- $167,100 - $248,700 a year
- Full-time
- 6 years
- Java
- Master's degree
- AD&D insurance
- Health insurance
Sr. Software Dev Engineer, Enterprise Security Products
Amazon.com Services LLC —Austin, TX
- $168,100 - $227,400 a year
- Full-time
- Computer science
- 8 years
- Senior level
- AD&D insurance
- Health insurance
2h
Data Architect - Power & Utilities - Manager- Consulting - Location OPEN
EY —Dallas, TX
- $125,500 - $261,600 a year
- Azure
- Computer Science
- 5 years
- Paid holidays
- Health insurance
Senior AI Compiler Engineer - Applied Research
NVIDIA —Austin, TX
- $152,000 - $241,500 a year
- Full-time
- Computer science
- Computer Science
- 5 years
Forward-Deployed Marketer
Darkroom —Texas
- $180,000 a year
- Full-time
- Remote
- SQL
- Senior level
- Python
- Dental insurance
- Vision insurance
Senior Director, AI Delivery & Operations
Thermo Fisher Scientific —Texas
- $167,500 - $278,000 a year
- Full-time
- Remote
- Background check
- Computer Science
- Pass drug screening
- Commuter assistance
- Paid parental leave
6d
Senior Research Scientist
BeatStars Inc. —Austin, TX
- $177,000 - $229,000 a year
- 8 hour shift
- Remote
- Computer Science
- Bachelor of Science
- AWS
- Health savings account
- Disability insurance
Quick Apply
Senior Data Scientist – Decision Analytics
Scalable Systems Inc —Dallas, TX
- $50 - $60 an hour
- Full-time
- Azure
- Office
- SQL
Quick Apply
Senior Scientist Skin Care Product Formulation
Mary Kay Inc —Lewisville, TX
- 6 years
- Master's degree
- Bachelor's degree
Molecular Biologist I
Battelle —San Antonio, TX
- Full-time
- Hybrid work
- Anatomy knowledge
- Ability to lift 50 pounds
- Bachelor's degree
- Wellness program
- Health insurance
Sr Data Scientist
GM Financial —Fort Worth, TX
- Full-time
- Hybrid work
- Computer Science
- Office
- Master's degree
- Tuition reimbursement
- 401(k) matching
Senior Data Scientist - Operation Research
Tiger Analytics Inc. —Dallas, TX
- Full-time
- Remote
- 6 years
- Computer Science
- Math
Quick Apply
14d
Sr Data Scientist
The Hershey Company —Dallas, TX
- Online Application
- Hybrid work
- Azure
- Java
- Master's degree
Acoustics Analyst (Research Engineering/Scientist Associate III))
University of Texas at Austin —Austin, TX
- $75,000 - $83,000 a year
- Weekends as needed
- Office
- Databases
- Analysis skills
- Paid holidays
- Health insurance
Applied Scientist, Search & Information Retrieval
Calabria Group —Frisco, TX
- Computer science
- Computer Science
- 5 years
Sr. Product Manager, Specialized Modeling & Verticals
6sense —Austin, TX
- $144,506.25 - $211,942.50 a year
- Email
- Remote
- Product management
- Senior level
- Paid parental leave
- Paid holidays
Quick Apply
Senior Machine Learning Engineer - Agentic AI
MD Anderson —Houston, TX
- $146,500 - $219,500 a year
- Full-time
- Remote
- Computer Science
- System design
- Doctor of Philosophy
- Health insurance
- Dental insurance

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senior applied scientist jobs near texas

Senior Applied Scientist - Predictive Scoring, AWS Marketing Science

Amazon Web Services, Inc. -
Austin, TX

Apply Now

Job Details

Full-time
$167,100 - $226,100 a year
11 days ago

Benefits

AD&D insurance
Health insurance
Dental insurance
Flexible spending account
RSU
Paid time off
Adoption assistance
Parental leave
Employee assistance program
Vision insurance
401(k) matching

Qualifications

AI models
Big data projects
Design of experiments
Spark
AI platforms (beyond public GPTs)
Computational framework
SQL
Spark implementation
Machine intelligence
Developing large-scale AI models
Machine learning frameworks
Cross-functional communication

Full Job Description

DESCRIPTION

As a Senior Applied Scientist specializing in lead scoring and deep learning modeling, you will tackle complex challenges in machine learning and deep learning to redefine how our business engages with customers. You will design and deploy high-impact models that drive customer segmentation, adaptive recommendations, and predictive lead and account prioritization. Leveraging your expertise in deep learning, representation learning, and general modeling, you'll help build solutions that directly influence business outcomes, collaborating with cross-functional teams to turn novel research into scalable, production-grade systems.

Key job responsibilities

Design and deploy predictive lead scoring models to optimize customer acquisition, conversion, and retention strategies using advanced techniques like survival analysis, graph networks, or transformer-based architectures.

Architect end-to-end ML pipelines for large-scale deep learning models, including data preprocessing, distributed training, model optimization, and real-time inference.

Publish research, file patents, and stay ahead of industry trends in the marketing science, propensity modeling, and customer journey prediction domains.

Innovate in multi-modal modeling (text, graph, behavioral, and temporal data) to enhance scoring accuracy across account and lead levels.

Conduct rigorous A/B testing, causal inference, and counterfactual analysis to measure model impact and iterate rapidly.

Collaborate with MLOps engineers to streamline model deployment, monitoring, and retraining using tools like AWS SageMaker, or MLflow and other internal tools.

Participate in science reviews to raise the science bar in our organization. This includes reviewing your work and the work of others.

Mentor junior scientists on ML methodology, experimentation design, and production best practices.

Define offline and online evaluation frameworks; establish success metrics tied to business outcomes (conversion rates, pipeline generation).

About the team
The AWS Marketing Science team builds the ML models and measurement systems that drive marketing decisions across Amazon Web Services. We own incrementality and valuation, ROI measurement, marketing attribution, propensity scoring, account and lead clustering, and next-best-action models. Our work directly influences how AWS allocates marketing spend, targets accounts, and measures effectiveness across billions in pipeline.

BASIC QUALIFICATIONS

3+ years of building machine learning models for business application experience
PhD, or Master's degree and 6+ years of applied research experience
Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods and machine learning
Knowledge of deep learning, machine learning and statistics
Experience engaging, verbally and in writing, with internal and external stakeholders to convey complex ideas in a clear, concise manner
Proficiency in Python and ML frameworks (PyTorch, TensorFlow, or equivalent)
Real world experience in recommender systems, transformers, or multi-objective tasks.
Strong background in statistical analysis, experimental design, and SQL/Spark for big data processing
Extensive knowledge in a breadth of machine learning topics

PREFERRED QUALIFICATIONS

Proven success in deploying deep learning models (e.g., BERT/Transformers for NLP/behavioral sequences, diffusion models, GANs or general DNNs) to solve business problems.
Publications or patents in applied ML domains
Expertise in at least one focus area in each of the following:
**MLOps**: CI/CD pipelines, model monitoring, cloud platforms, Deployment strategy
**Emerging Techniques**: LLM fine-tuning, federated learning, automated feature engineering, siamese networks, backbones (feature extraction networks), efficient transformer architectures.
Experience in at least one focus area in either of the following:
**Personalization**: Session-based and long term interest recommendations. Two-Tower and Transformer based architectures
**Lead Scoring / Behavior**: Predictive analytics, churn modeling, and causal ML for attribution.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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.

USA, NY, New York - 183,800.00 - 248,700.00 USD annually
USA, TX, Austin - 167,100.00 - 226,100.00 USD annually
USA, VA, Arlington - 167,100.00 - 226,100.00 USD annually
USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually

Apply Now

Refine Your Search

senior applied scientist jobs in texas

Senior Applied Scientist - Predictive Scoring, AWS Marketing Science

Senior Applied Scientist, Applied AI Solutions GTM

Lead Applied Research Scientist – Finance

Senior Applied Scientist, AWS Marketplace Science

Sr. Software Dev Engineer, Enterprise Security Products

Data Architect - Power & Utilities - Manager- Consulting - Location OPEN

Senior AI Compiler Engineer - Applied Research

Forward-Deployed Marketer

Senior Director, AI Delivery & Operations

Senior Research Scientist

Senior Data Scientist – Decision Analytics

Senior Scientist Skin Care Product Formulation

Molecular Biologist I

Sr Data Scientist

Senior Data Scientist - Operation Research

Sr Data Scientist

Acoustics Analyst (Research Engineering/Scientist Associate III))

Applied Scientist, Search & Information Retrieval

Sr. Product Manager, Specialized Modeling & Verticals

Senior Machine Learning Engineer - Agentic AI

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