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Data Scientist Machine Learning Jobs in Dallas, TX

Data Scientist II Our Opportunity We are seeking a hands-on and highly motivated Data Scientist II ... In this role, you will help build AI-powered and machine learning solutions that improve customer ...

Senior Data Scientist

Richardson, TX · On-site

$109K - $190K/yr

Data Scientist II Our Opportunity We are seeking a hands-on and highly motivated Data Scientist II ... In this role, you will help build AI-powered and machine learning solutions that improve customer ...

Data Scientist

Dallas, TX · On-site

$65 - $75/hr

Roles & Responsibilities . 6+ years of experience in Machine Learning and Data Science. * Strong understanding of Generative AI, Retrieval Augmented Generation, Agentic Workflow, Statistical methods ...

As a Data Scientist , you will be responsible for assisting our clients envision, design, develop, and deploy machine learning solutions in Microsoft Azure. As part of a small, dynamic team, you will ...

Data Scientist

Dallas, TX · On-site

$65 - $75/hr

Roles & Responsibilities 6+ years of experience in Machine Learning and Data Science. • Strong understanding of Generative AI, Retrieval Augmented Generation, Agentic Workflow, Statistical methods ...

Translate business problems into well-defined machine learning and predictive modeling objectives. * Collect, clean, transform, and analyze structured and unstructured data from multiple sources.

Translate business problems into well-defined machine learning and predictive modeling objectives. * Collect, clean, transform, and analyze structured and unstructured data from multiple sources.

Data Scientist Location : Plano, TX, 5900 West Plano Parkway, 75093 About the Role We're looking ... Apply AI and machine learning to improve operations and decision-making * Partner with business and ...

As a Data Scientist , you will be responsible for assisting our clients envision, design, develop, and deploy machine learning solutions in Microsoft Azure. As part of a small, dynamic team, you will ...

AI/ML Data Scientist Location: Dallas, TX (Onsite) Key Responsibilities ... Translate business problems into well-defined machine learning and predictive modeling objectives.

Who we're looking for Toyota's OneTech Data Science and Machine Learning Department is looking for a passionate and highly motivated Principal Data Scientist. The primary responsibility of this role ...

Independently work on data science projects and deliver innovative technical solutions to solve problems and improve business outcomes Be involved in the design and development of machine learning ...

Expertise in statistical modeling, machine learning, and predictive analytics. * Strong proficiency ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

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Expertise in statistical modeling, machine learning, and predictive analytics. * Strong proficiency ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

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Expertise in statistical modeling, machine learning, and predictive analytics. * Strong proficiency ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

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Data Scientist

Dallas, TX · On-site

$112.50 - $137.50/hr

Data Scientist Job Location: 8115 Preston Road, Suite 400, Dallas, TX 75204 Rate of Pay: $125,000 ... Apply knowledge of machine learning techniques and algorithms. Apply experience with common data ...

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Data Scientist Machine Learning information

See Dallas, TX salary details

$37.1K

$121.5K

$194.5K

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

As of Aug 9, 2026, the average yearly pay for data scientist machine learning in Dallas, TX is $121,508.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,500.00 and $134,600.00 per year, depending on experience, location, and employer.

What is a data scientist machine learning?

A Data Scientist specializing in Machine Learning (ML) uses statistical methods, algorithms, and computational power to analyze data and create predictive models. They work with large datasets to identify patterns, train machine learning models, and improve decision-making processes. Responsibilities often include data cleaning, feature engineering, model selection, and performance evaluation. They may collaborate with engineers and business teams to deploy models in real-world applications. Strong skills in programming (Python, R), ML frameworks (TensorFlow, Scikit-learn), and data visualization are essential.

What are the key skills and qualifications needed to thrive in the data scientist machine learning position, and why are they important?

To excel as a Data Scientist Machine Learning, you need a strong proficiency in statistics, programming (typically Python or R), and a solid understanding of machine learning algorithms, usually backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications in data science or machine learning, is commonly expected. Analytical thinking, problem-solving skills, and effective communication are vital soft skills in this profession. These qualifications combine to drive impactful insights and enable the successful development and deployment of machine learning models in business environments.

What are the typical day-to-day responsibilities of a data scientist machine learning?

On a typical day, a Data Scientist specializing in Machine Learning might gather and preprocess data, design and implement machine learning models, and evaluate their performance to solve real-world problems. They often collaborate with data engineers, software developers, and business stakeholders to translate business objectives into technical solutions and integrate models into existing systems. Other responsibilities can include visualizing data insights, conducting experiments to tune algorithms, and staying current with new developments in the field. The work is highly collaborative and iterative, requiring clear communication with various teams to ensure project goals are met efficiently.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Dallas, TX? The most popular types of Data Scientist Machine Learning jobs in Dallas, TX are:
What are popular job titles related to Data Scientist Machine Learning jobs in Dallas, TX? For Data Scientist Machine Learning jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Data Scientist Machine Learning jobs in Dallas, TX look for? The top searched job categories for Data Scientist Machine Learning jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Data Scientist Machine Learning jobs? Cities near Dallas, TX with the most Data Scientist Machine Learning job openings:
Infographic showing various Data Scientist Machine Learning job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,508 per year, or $58.4 per hour.

Senior Data Scientist

Chewy

Richardson, TX

$109K - $190K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago


Chewy rating

6.9

Company rating: 6.9 out of 10

Based on 226 frontline employees who took The Breakroom Quiz

9th of 39 rated national retailers


Job description

Data Scientist II 

Our Opportunity
We are seeking a hands-on and highly motivated Data Scientist II to join our growing team. In this role, you will help build AI-powered and machine learning solutions that improve customer and agent experiences across Chewy Customer Care. This role is ideal for someone who enjoys working in ambiguity, rapidly experimenting with ideas, building prototypes, and translating data science concepts into practical, scalable solutions.

As a Data Scientist II, you will contribute across the full data science lifecycle, from problem framing and data exploration to model development, experimentation, deployment, and communication of results. You will work closely with product, engineering, operations, and business stakeholders to identify opportunities where ML, and data-driven systems can create measurable impact.

What You’ll Do

  • Own and contribute to the end-to-end process of identifying business problems, exploring data, building models, and refining solutions toward impact.
  • Build and iterate on AI/ML prototypes quickly, testing multiple approaches and learning from results.
  • Develop machine learning, deep learning, and GenAI-enabled solutions using structured, unstructured, and real-time data sources.
  • Apply statistical methods, experimental design, and model evaluation techniques to measure performance and business impact.
  • Conduct exploratory data analysis to uncover patterns, trends, behavioral signals, and opportunities for automation or decision support.
  • Create, transform, and select features that improve model performance and support production-ready solutions.
  • Build and evaluate models such as regression, classification, clustering, sequential models, recommendation models, neural networks, and other relevant ML/deep learning approaches.
  • Work with real-time or near-real-time data where applicable to support intelligent, responsive customer and agent experiences.
  • Interpret model outcomes, identify key drivers, and clearly communicate insights, tradeoffs, and recommendations to technical and non-technical audiences.
  • Partner with cross-functional teams including product managers, engineers, business analysts, and operations stakeholders to translate ambiguous needs into data-driven and AI-enabled solutions.
  • Stay current with emerging AI/ML techniques and identify practical ways to apply them to customer care and business problems.

What You’ll Need

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, Applied Mathematics, or a related technical field.
  • 3+ years of experience as a Data Scientist, Machine Learning Scientist, Applied Scientist, AI/ML Engineer, or similar role.
  • Strong programming skills in Python, with experience using data science and machine learning libraries.
  • Experience developing and evaluating machine learning models, including supervised and unsupervised learning techniques.
  • Practical knowledge of deep learning, neural networks, GenAI/LLM concepts, or AI system development.
  • Experience working with SQL and relational databases.
  • Strong analytical skills, including statistical modeling, hypothesis testing, experimental design, and model evaluation.
  • Ability to work in ambiguity, rapidly test ideas, iterate based on feedback, and move from prototype to scalable solution.
  • Excellent communication and collaboration skills, with the ability to explain complex technical concepts to diverse audiences.

Nice to Have

  • Experience with sequential modeling, time-series modeling, real-time data, recommendation systems, NLP, or conversational AI.
  • Experience building AI/ML prototypes, hackathon projects, open-source contributions, or applied AI side projects.
  • Experience with cloud platforms such as AWS, Azure, GCP, or Snowflake.
  • Familiarity with AWS technologies such as SageMaker, Glue, Athena, Redshift, or Bedrock.
  • Familiarity with big data technologies such as Spark, Iceberg, or dbt.
  • Experience with data visualization or rapid app-building tools such as Tableau, Streamlit, or text-to-SQL solutions.
  • Knowledge of retail, e-commerce, customer care, or operations domains.
  • Master’s degree with specialization in AI/ML, Data Science, Computer Science, Statistics, or a related field.
The base salary range for this role is $109,500 - $190,000.00.
  • The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.

We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com. 

Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations. 

Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.

To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.


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About Chewy

Sourced by ZipRecruiter

Chewy is a prominent player in the e-commerce industry, specifically dedicated to pet owners. Based in Dania Beach, Florida, the company was founded in 2011 with the aim to make pet shopping easier and more convenient. Chewy offers a wide range of products including pet food, toys, and other pet-related essentials from over 1,000 trusted brands, along with prescription food and medications from certified veterinarians. The company stands out for its dedication to providing 24/7 customer service and shipping orders over $49 for free. Chewy's mission is to be the most trusted and convenient online destination for pet parents everywhere by committed to delivering pet happiness.

Industry

Retail

Company size

10,000+ Employees

Headquarters location

Plantation, FL, US

Year founded

2011