Data scientist jobs in Rockwall, TX and nearby (158 jobs)

Data scientist jobs within 25 miles of Rockwall, TX. Nearby towns and cities are included. Distances are straight-line, not driving distances.

Counted Nov 8, 2026

Hiring at a glance

View jobs

Open jobs: 158
Employers: 89

Advertised starting pay

Not enough comparable pay figures yet.

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 0%0 listings
Hybrid: 4%7 listings
On-site: 12%19 listings

Not specified: 84% (132 listings)

Employers hiring include Capital One (17), JPMC page (11), JPMorgan Chase (7).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Data scientist jobs in Rockwall, TX and nearby

Within 25 miles

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Added 28 days ago
Director - Enterprise Data Architect
Ziff Davis
Dallas, TX
The Enterprise Data Architect is a director level role within Ookla’s Chief Data & Analytics Office responsible for defining and maintaining the enterprise data architecture, standards,…
Added 28 days ago
Data Scientist with Big Data
Sonoma Consulting Inc.
Plano, TX
Preferred/ Nice-to-haves: (The below is not necessary for this position. These are the responsibilities of the new big data architect position we are hir
Added 28 days ago
AC
Machine Learning Engineer
Avita Care Solutions
Plano, TX
- $140,000 to $185,000 USD / year
The Machine Learning Engineer will have deep expertise in healthcare and pharmacy data. The focus of the role is on designing scalable, reliable, and compliant ML solutions that support…
Added 28 days ago
AC
Assistant Vice President, Health Analytics Data Scientist
Aon Corporation
Dallas, TX
- $160,000 to $190,000 USD / year
Aon is looking for an Assistant Vice President, Health Analytics Data Scientist
Added 28 days ago
Data architect
krg technology inc
Plano, TX
· Experience developing enterprise solutions. Possible skills: Big Data, Java, J2EE, Hadoop, Mongo DB
Added 28 days ago
PG
Senior Data Scientist
Publicis Groupe Holdings B.V
Plano, TX
- $88,540 to $121,100 USD / year
…We deliver Networked Experiences by leveraging comprehensive data, technology, creative, media and strategy capabilities. Digitas delivers ambitious outcomes via unique solutions that…
Added 28 days ago
FS
Fulltime Opportunity: Big Data Architect in Texas
Federal soft systems Inc
Plano, TX
- Full-time
Role: Advanced Analytics Architect - Big Data Architect
Added 28 days ago
Data Modeler
Atria Group LLC
Dallas, TX
Model, design and implement advanced Data Warehouse database schema designs, such as star and snowflake schemas, and constellations to support project requirements.
Added 28 days ago
3I
Multiple Full-Time Positions_ Kafka Big Data Architect _Texas/ Rhode Island_ W2
360 IT Professionals
Richardson, TX
- Full-time
Added 28 days ago
Big Data Developer
Webilent Technology, Inc
Dallas, TX
Added 28 days ago
Principal Data Architect
Brown & Brown, Inc
Dallas, TX
Brown & Brown is seeking a Principal Data Architect to join our growing team in Atlanta, GA, Dallas, TX, or Daytona Beach, FL!.
Added 28 days ago
Senior Associate, Data Scientist - Model Risk Audit
Capital One
Plano, TX
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the…
Added 28 days ago
Principal Associate, Data Scientist -Financial Services
Capital One
Plano, TX
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the…
Added 28 days ago
Manager, Data Scientist - Credit Review
Capital One
Plano, TX
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the…
Added 28 days ago
Machine Learning Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)
Capital One
Plano, TX
Added 28 days ago
Machine Learning Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)
Capital One
Plano, TX
Added 28 days ago
Machine Learning Engineer 4
Capital One
Plano, TX
Added 28 days ago
Machine Learning Engineer 4
Capital One
Plano, TX
Added 28 days ago
Machine Learning Engineer 4
Capital One
Plano, TX
Added 28 days ago
Machine Learning Engineer 5
Capital One
Plano, TX
Added 28 days ago
Manager, Data Scientist -Advanced Recommenders and Personalization Systems (Transformers, LLMs & Reinforcement Learning)
Capital One
Plano, TX
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the…
Added 28 days ago
Senior Staff Machine Learning Engineer
Capital One
Plano, TX
Added 28 days ago
Staff Machine Learning Engineer
Capital One
Plano, TX
Added 28 days ago
Senior Associate, Data Scientist - Applied AI (Financial Services)
Capital One
Plano, TX
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the…
Added 28 days ago
Senior Enterprise Data Modeler
BOK Financial
Richardson, TX

Capital One

Machine Learning Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)

NY, United States
San Francisco, CA, United States
McLean, VA, United States
Richmond, VA, United States
Plano, TX, United States

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Job details

Posting language: English
Posted: Sep 21, 2026

Original job description

Machine Learning Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)

Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One.

Enterprise Platforms Technology (EPTech) comprises many of Capital One’s most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices.

Team:

The Marketing and Messaging team is responsible for delivering hyper-personalized messages and experiences that will delight the customer, attract prospects and drive increasing business value. The team builds scalable platforms that deliver omnichannel messages in owned and paid Adtech channels.

What You’ll Do:

The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:
Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams
Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment
Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications
Retrain, maintain, and monitor models in production
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale
Construct optimized data pipelines to feed ML models
Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI
Use programming languages like Python, Scala, or Java

Basic Qualifications:

Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
At least 4 years of experience programming with Python, Java, Golang, or C++
At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)
At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data
At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems

Preferred Qualifications:

Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field
3+ years of experience optimizing ML algorithms, configurations, and infrastructure
3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc.
3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans.
3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)
3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models.
1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation
Authored/co-authored a paper on a ML technique, model, or proof of concept

At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer).

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4

New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4

Plano, TX: $179,400 - $204,700 for Machine Learning Engineer 4

Richmond, VA: $179,400 - $204,700 for Machine Learning Engineer 4

San Francisco, CA: $215,200 - $245,600 for Machine Learning Engineer 4

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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More about this job

Skills

Machine learning
Python
AWS
SQL
Data engineering
ML
Collaboration
Agile
CI/CD
Test automation
Programming languages
Scala
Oracle Java
Computer science
Statistics
Research
Google Analytics
Go
C++
PyTorch
TensorFlow
NumPy
Scikit-learn
Apache Spark
Google Cloud
Microsoft Azure
Kubernetes
Electrical engineering
Software development
Incident response
CPT
J
Technical support
Recruitment

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