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Data Science Civil Engineering Jobs in Dallas, TX

Michaels Stores

Manager - Data Science

Irving, TX · On-site

The Manager - Data Science role is essential for determining effective CRM tactics that drive ... methodologies, and programming techniques • Develop objective staff development strategies ...

TBK Bank, SSB

Director of Data Science

Dallas, TX

Director of Data Science Position Summary We are seeking a Director of Data Science to design ... Partner closely with product, analytics, and engineering teams to translate transportation domain ...

TBK Bank, SSB

Director of Data Science

Dallas, TX · On-site

They are looking for a Director of Data Science to design and operationalize quantitative models ... engineering teams to translate transportation domain needs into analytically sound, production ...

Triumph

Director of Data Science

Dallas, TX · On-site

They are looking for a Director of Data Science to design and operationalize quantitative models ... engineering teams to translate transportation domain needs into analytically sound, production ...

TBK Bank, SSB

Director of Data Science

Dallas, TX · On-site

Director of Data Science Position Summary We are seeking a Director of Data Science to design ... Partner closely with product, analytics, and engineering teams to translate transportation domain ...

Triumph Financial

Director of Data Science

Dallas, TX · On-site

Director of Data Science Position Summary We are seeking a Director of Data Science to design ... Partner closely with product, analytics, and engineering teams to translate transportation domain ...

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Showing results 41-60

All JobsData Science Civil Engineering JobsData Science Civil Engineering Jobs in Dallas, TX

Data Science Civil Engineering information

See Dallas, TX salary details

$25.2K

$101.9K

$193.4K

How much do data science civil engineering jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data science civil engineering in Dallas, TX is $101,921.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,193.00 and $134,695.00 per year, depending on experience, location, and employer.

What is a data science civil engineering job?

A Data Science Civil Engineering job combines data science techniques with civil engineering expertise to analyze, model, and optimize infrastructure projects. Professionals in this field use machine learning, statistical analysis, and big data tools to improve structural design, traffic systems, and environmental sustainability. They work with large datasets from sensors, GIS systems, and simulations to enhance decision-making in construction, transportation, and urban planning.

Can a data science civil engineer become a data scientist?

A data science civil engineer can become a data scientist by acquiring relevant skills such as programming, statistical analysis, and machine learning, often through additional training or certifications. Their engineering background provides a strong foundation in problem-solving and data analysis, which are valuable in data science roles.

What are the key skills and qualifications needed for a data science civil engineering position?

To excel in Data Science Civil Engineering, you need a strong background in civil engineering principles along with expertise in data analytics, statistical modeling, and programming languages such as Python or R. Familiarity with tools like MATLAB, GIS software, machine learning libraries, and certifications in data science or engineering analysis is often required. Strong problem-solving abilities, communication skills, and the capacity to work collaboratively with interdisciplinary teams distinguish top professionals in this field. These skills are crucial for driving data-informed decisions, optimizing engineering designs, and effectively addressing complex infrastructure challenges.

What are the typical daily responsibilities of a data science civil engineering professional?

Professionals in Data Science Civil Engineering routinely analyze large datasets related to construction, infrastructure performance, and environmental variables to inform design and maintenance decisions. Daily tasks may include developing predictive models, preparing visualization dashboards, interpreting sensor data, and collaborating with civil engineers to translate data insights into actionable project recommendations. The role often requires close teamwork with engineering, IT, and project management staff to ensure that analytical findings align with project goals and regulatory requirements. This blend of technical and collaborative work makes each day dynamic and impactful, contributing directly to improved safety, efficiency, and sustainability in civil engineering projects.

What are the most commonly searched types of Data Science Civil Engineering jobs in Dallas, TX?

The most popular types of Data Science Civil Engineering jobs in Dallas, TX are:

What are popular job titles related to Data Science Civil Engineering jobs in Dallas, TX?

For Data Science Civil Engineering jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Data Science Civil Engineering jobs in Dallas, TX look for?

The top searched job categories for Data Science Civil Engineering jobs in Dallas, TX are:

Data Science Civil Engineering jobs near you
Infographic showing various Data Science Civil Engineering job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $101,921 per year, or $49 per hour.

Sr. Director of Data Science Engineering

Health Care Service Corporation

Richardson, TX • Hybrid

Full-time

Medical, Life, Retirement, PTO

Re-posted 18 days ago

Job description

At HCSC, our employees are the cornerstone of our business and the foundation to our success. We empower employees with curated development plans that foster growth and promote rewarding, fulfilling careers.

Join HCSC and be part of a purpose-driven company that will invest in your professional development.

Job SummaryHCSC is recruiting for a leader in our Data Science Engineering function. The team is responsible for the engineering practices that bring AI and machine learning solutions to production at scale, including model deployment, MLOps, monitoring, and reliability. The Senior Director will lead a team of machine learning engineers who partner closely with data scientists, product managers, and IT to operationalize AI/ML solutions that deliver tangible business value.
This role is situated within the Data Science & AI Solutions team at HCSC, the central hub of data science work within the organization. Join our team of driven, fun, and accomplished builders, and help us advance HCSC's mission: to do everything in our power to support our members, in sickness and in health.
Please note, this is a HYBRID position and will require 3 days/week in-office hours at the respective office location.
Job Responsibilities:
Develop and implement strategic plans for the Data Science Engineering function, aligning with the organization's objectives.
Lead a team of machine learning engineers to design, build, and operationalize scalable AI/ML solutions in collaboration with data scientists, product managers, and business stakeholders.
Establish and evolve MLOps practices, including CI/CD pipelines, model deployment, monitoring, and lifecycle management for both traditional ML and generative AI systems.
Architect and oversee scalable, secure, and reliable infrastructure for model training, inference, and serving on cloud platforms.
Drive engineering best practices include code quality, automated testing, observability, reproducibility, and responsible AI principles.
Partner with IT, platform, and data engineering teams to integrate AI/ML solutions into enterprise systems and workflows.
Ensure policies and procedures align with the corporate vision, regulatory requirements, and industry best practices.
Foster effective communication and collaboration within the team, stakeholders, and management.
Recruit, develop, and evaluate personnel to ensure the efficient operation of the Data Science Engineering team.
Serve as a liaison and support effective communication and strategy between the team and stakeholders.
Oversee the budget and operations of the function, ensuring efficient resource allocation and alignment with goals.

Required Job Qualifications:

Bachelor's degree and 7 years of work experience in a computer science, engineering, or related field OR Master's degree and 6 years of work experience in a computer science, engineering, or related field OR Ph.D. and 4 years of work experience in a computer science, engineering, or related field

  • 4 years management or leadership experience.

  • Learning and growth mindset.

  • Customer-focused.

  • Interpersonal, verbal and written communication skills.

  • Must demonstrate proficiency in at least five and mastery in one of the following six areas:

1) software engineering and version control practices

2) machine learning model development and evaluation

3) MLOps, CI/CD, and model deployment

4) a high-level programming language (e.g., Python)

5) generative and agentic AI

6) understanding of healthcare.

  • Iterative and agile development practices.

  • Independently delivering or leading the delivery of machine learning engineering solutions for multiple complex analytics or data science projects and products.

  • Overseeing the annual budget and allocating resources for various projects and operational needs.

  • Translating needs and initiatives into compelling business cases.

  • Conducting cost-benefit analyses to justify investments and ensure ROI.

Preferred Job Qualifications:

  • Master's degree in a computational field, or Bachelor's degree with significant healthcare experience

  • Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native ML services

  • Experience with containerization (Docker, Kubernetes) and infrastructure-as-code

  • Experience with MLOps tooling (e.g., MLflow, Kubeflow, SageMaker, Azure ML, Databricks)

  • Experience deploying and operating generative AI / LLM-based solutions, including LLMOps, RAG architectures, and vector databases

  • Experience with model monitoring, drift detection, and responsible AI tooling

LI-HYBRID

LI -AZ1

Are you being referred to one of our roles? If so, ask your connection at HCSC about our Employee Referral process!

Pay Transparency Statement:

At Health Care Service Corporation, you will be part of an organization committed to offering meaningful benefits to our employees to support their life outside of work. From health and wellness benefits, 401(k) savings plan, pension plan, paid time off, paid parental leave, disability insurance, supplemental life insurance, employee assistance program, paid holidays, tuition reimbursement, plus other incentives, we offer a robust total rewards package for employees. Learn more about our benefit offerings by visiting https://careers.hcsc.com/totalrewards.

The compensation offered will vary depending on your job-related skills, education, knowledge, and experience. This role aligns with an annual incentive bonus plansubject to the terms and the conditions of the plan.

HCSC Employment Statement:

We are an Equal Opportunity Employment employer dedicated to providing a welcoming environment where the unique differences of our employees are respected and valued. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristics.

Base Pay Range$161,500.00 - $299,700.00

Exact compensation may vary based on skills, experience, and location.

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