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Science Engineer Jobs in Texas (NOW HIRING)

AI and Data Science Engineer II

Dallas, TX · On-site

$113K - $136K/yr

We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to ...

Required : • Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science) • 4+ years of experience in data science, analytics, or a related field - with ...

Forward Deployed Engineer

Dallas, TX · On-site +1

$190K - $225K/yr

Required Qualifications * BS in Computer Science, Engineer, or related technical field * 3+ years in technical customer interfacing implementation role * 5+ years in software engineering * Strong ...

Forward Deployed Engineer

Dallas, TX · On-site +1

$190K - $225K/yr

Required Qualifications * BS in Computer Science, Engineer, or related technical field * 3+ years in technical customer interfacing implementation role * 5+ years in software engineering * Strong ...

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Science Engineer information

What are the key skills and qualifications needed to thrive as a Science Engineer, and why are they important?

To thrive as a Science Engineer, you need a strong background in engineering principles, scientific analysis, and problem-solving, typically supported by a relevant engineering degree. Familiarity with technical tools such as CAD software, simulation programs, and data analysis platforms, as well as certifications like Professional Engineer (PE), are often required. Strong communication, teamwork, and critical thinking skills help distinguish top performers in this field. These competencies ensure innovative solutions, effective project execution, and collaboration across interdisciplinary teams.

What are science engineers?

Science engineers are professionals who apply scientific principles and methods to solve technical problems and develop new technologies. They often work at the intersection of research and application, using their expertise in fields such as physics, chemistry, biology, or materials science to design innovative products, improve existing processes, and conduct experiments. Science engineers collaborate with researchers, engineers, and other specialists to translate scientific discoveries into practical solutions for industries like healthcare, energy, manufacturing, and environmental management.

What is the difference between Science Engineer vs Mechanical Engineer?

AspectScience EngineerMechanical Engineer
Required CredentialsBachelor's or higher in science or engineering fields, certifications varyBachelor's or higher in mechanical engineering, PE license optional
Work EnvironmentResearch labs, development centers, industrial settingsManufacturing plants, design offices, testing facilities
Employer & Industry UsageResearch institutions, tech companies, government agenciesManufacturing firms, automotive, aerospace, energy sectors
Common Search & ComparisonYesYes

Science Engineers focus on applying scientific principles to develop new technologies and conduct research, often working in labs or research centers. Mechanical Engineers design, analyze, and manufacture mechanical systems, working primarily in industrial and manufacturing environments. While both roles require engineering knowledge, Science Engineers emphasize scientific research, whereas Mechanical Engineers focus on practical system design and production.

What are some common challenges Science Engineers face when working on interdisciplinary teams?

Science Engineers often collaborate with professionals from diverse backgrounds, such as chemists, physicists, and computer scientists. One common challenge is bridging communication gaps due to different terminologies and approaches used in each discipline. Successfully navigating these differences requires strong interpersonal skills and a willingness to learn from team members. Adapting to varying project management styles and aligning on shared goals are also key aspects of effective interdisciplinary teamwork.
What cities in Texas are hiring for Science Engineer jobs? Cities in Texas with the most Science Engineer job openings:
AI and Data Science Engineer II

AI and Data Science Engineer II

Deloitte

Dallas, TX • On-site

$113K - $136K/yr

Other

Posted 8 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce.

Recruiting for this role ends on July 11, 2026

Work you'll do

As an AI and Data Science Engineer II on the Advertising, Marketing & Commerce team, you will be responsible for...

  • Translating business goals into machine learning use cases and model design approaches.
  • Performing exploratory data analysis to identify relationships, opportunities to influence outcomes, and cross-channel attribution patterns.
  • Applying clustering, sampling, feature transformation, and predictive modeling techniques to develop and refine solutions.
  • Building proofs of concept, interpreting model results, and validating that solutions perform as intended.
  • Collaborating with clients and cross-functional teams, including analytics and data engineering teams, throughout solution development and delivery.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Advertising, Marketing & Commerce team creates content and experiences that inspire action. We design and implement technology platforms for personalized marketing across all digital touchpoints, specializing in customer-centric B2B and B2C solutions. Our in-house agency engages customers throughout their journey, working on projects like AdTech, MarTech, campaign automation, CRM, and lead-to-loyalty orchestration. Join us to drive impactful customer interactions and business growth.

Qualifications

Required:

  • Bachelor's degree in engineering, mathematics, physics, machine learning, statistics, computer science, or another quantitative field
  • 2+ years of industry experience outside of academia applying data science or machine learning methods
  • Experience translating business goals into machine learning use cases and model design
  • Experience performing exploratory data analysis and developing predictive models
  • Ability to travel 30%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Master's degree in engineering, mathematics, physics, machine learning, statistics, computer science, or another quantitative field
  • Experience manipulating large marketing data sets and performing extract, transform, and load activities
  • Experience with boosted trees, logistic regression, classification techniques, unsupervised models, large language models, or experimental design
  • Experience with data sets generated in advertising technology or marketing technology environments
  • Experience presenting complex data insights to non-technical audiences
  • Experience with deep learning architectures or reinforcement learning

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $86,700 - $170,900.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

#Customer_US

#AMC_US

Qualifications:

Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce.

Recruiting for this role ends on July 11, 2026

Work you'll do

As an AI and Data Science Engineer II on the Advertising, Marketing & Commerce team, you will be responsible for...

  • Translating business goals into machine learning use cases and model design approaches.
  • Performing exploratory data analysis to identify relationships, opportunities to influence outcomes, and cross-channel attribution patterns.
  • Applying clustering, sampling, feature transformation, and predictive modeling techniques to develop and refine solutions.
  • Building proofs of concept, interpreting model results, and validating that solutions perform as intended.
  • Collaborating with clients and cross-functional teams, including analytics and data engineering teams, throughout solution development and delivery.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Advertising, Marketing & Commerce team creates content and experiences that inspire action. We design and implement technology platforms for personalized marketing across all digital touchpoints, specializing in customer-centric B2B and B2C solutions. Our in-house agency engages customers throughout their journey, working on projects like AdTech, MarTech, campaign automation, CRM, and lead-to-loyalty orchestration. Join us to drive impactful customer interactions and business growth.

Qualifications

Required:

  • Bachelor's degree in engineering, mathematics, physics, machine learning, statistics, computer science, or another quantitative field
  • 2+ years of industry experience outside of academia applying data science or machine learning methods
  • Experience translating business goals into machine learning use cases and model design
  • Experience performing exploratory data analysis and developing predictive models
  • Ability to travel 30%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Master's degree in engineering, mathematics, physics, machine learning, statistics, computer science, or another quantitative field
  • Experience manipulating large marketing data sets and performing extract, transform, and load activities
  • Experience with boosted trees, logistic regression, classification techniques, unsupervised models, large language models, or experimental design
  • Experience with data sets generated in advertising technology or marketing technology environments
  • Experience presenting complex data insights to non-technical audiences
  • Experience with deep learning architectures or reinforcement learning

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $86,700 - $170,900.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

#Customer_US

#AMC_US

Education:Bachelor's DegreeEmployment Type:

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