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Data Science Engineer Jobs in Texas (NOW HIRING)

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 ...

Collaborate with engineering, product, UX, and business leaders to prioritize ideas, launch MVPs, iterate rapidly, and deliver measurable business value. * Lead a team of data scientists, driving ...

Collaborate with engineering, product, UX, and business leaders to prioritize ideas, launch MVPs, iterate rapidly, and deliver measurable business value. * Lead a team of data scientists, driving ...

Mathematics, Engineering, Data Science or Computer Science or related field or equivalent. * 5+ ... years of experience in programing & data mining. * Able and willing to work on-site, in-person at ...

Mathematics, Engineering, Data Science or Computer Science or related field or equivalent. * 5 ... years of experience in programing & data mining. * Able and willing to work on-site, in-person at ...

New

AI Engineer, Data Science

Austin, TX · On-site

$113K - $136K/yr

About the Role As a Senior AI Engineer - Data Science , you will be a key technical leader within our advanced analytics and AI group. You will design, build, and deploy sophisticated machine ...

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$41.5K

$120.9K

$165.4K

How much do data science engineer jobs pay per year?

As of Jun 8, 2026, the average yearly pay for data science engineer in Texas is $120,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Science Engineer position, and why are they important?

A Data Science Engineer should have a strong background in statistics, machine learning, programming (typically Python or R), and data engineering, often supported by a degree in computer science, engineering, or a related field. Familiarity with data processing frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and certifications in data science or cloud technology are highly valued. Excellent problem-solving skills, communication abilities, and collaboration are essential soft skills for working effectively in cross-functional teams. These competencies enable Data Science Engineers to build scalable data solutions, deliver actionable insights, and drive business impact.

What are the typical daily responsibilities of a Data Science Engineer?

Data Science Engineers typically spend their days designing and building data pipelines, preparing and cleaning large datasets, and developing machine learning models to solve business problems. They work closely with data scientists, software engineers, and business stakeholders to translate requirements into scalable technical solutions. Responsibilities also include deploying models to production, monitoring their performance, and iterating on solutions based on feedback. This role offers a dynamic mix of coding, data analysis, and teamwork, making each day varied and intellectually engaging.

What is a Data Science Engineer job?

A Data Science Engineer is a professional who bridges the gap between data science and software engineering. They focus on designing, building, and maintaining scalable data pipelines, infrastructure, and machine learning models for production use. Their role involves data preprocessing, model deployment, performance optimization, and integrating AI solutions into applications. They work closely with data scientists, software engineers, and DevOps teams to ensure efficient data workflows.

What are the most commonly searched types of Data Science Engineer jobs in Texas? The most popular types of Data Science Engineer jobs in Texas are:
What are popular job titles related to Data Science Engineer jobs in Texas? For Data Science Engineer jobs in Texas, the most frequently searched job titles are:
What cities in Texas are hiring for Data Science Engineer jobs? Cities in Texas with the most Data Science Engineer job openings:
AI and Data Science Engineer III

AI and Data Science Engineer III

Deloitte

Dallas, TX • On-site

Full-time

Posted 9 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

Job Summary:
Deloitte is a leading professional services firm that transforms technology platforms and drives innovation. They are hiring a Senior Consultant in Data Science to join their Human Capital practice, focusing on building and delivering data-driven products and solutions for workforce analytics.
Responsibilities:
• Lead the design, development, and delivery of analytics solutions that address complex workforce and human capital challenges for clients across industries.
• Build and maintain scalable data pipelines, dashboards, and reporting frameworks using SQL and Tableau (or equivalent visualization platforms).
• Translate ambiguous business problems into structured analytical approaches, communicating findings and recommendations clearly to both technical and non-technical stakeholders.
• Collaborate across service lines to embed AI-enabled capabilities and emerging data methodologies into client solutions.
• Support business development efforts including proposals, client presentations, and thought leadership content.
• Design and deliver intuitive, executive-ready reports and dashboards that make complex workforce data accessible and actionable.
• Apply economic and statistical reasoning to interpret workforce trends, model scenarios, and support evidence-based decision-making.
Qualifications:
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 direct experience in client-facing or consulting environments.
• 4+ years of demonstrated proficiency in SQL for data extraction, transformation, and analysis across relational databases.
• 4+ years of demonstrated proficiency in Python or R for statistical modeling and data wrangling.
• 4+ years of hands-on experience with data visualization tools such as Tableau, Power BI, or equivalent platforms.
• 4+ years of building analytics solutions end-to-end: from data ingestion and modeling to visualization and stakeholder presentation.
• Ability to travel 0-25%, on average, based on client and project needs.
• Limited immigration sponsorship may be available
Preferred:
• Advanced degree (MS/PhD) and/or relevant certifications (data science and AI/ML).
• Experience working with workforce, HR, or human capital data (e.g., headcount, attrition, compensation, organizational network analysis).
• AI fluency and familiarity with machine learning concepts, large language model applications, or AI-augmented analytics workflows.
• Economics background or acumen, with the ability to apply labor market economics principles to workforce problems.
• Experience in analytics product development - building repeatable tools, models, or platforms rather than one-off deliverables.
• Proficiency in Python or R for statistical modeling and data wrangling.
• Strong communication skills with the ability to convey complex analytical insights to diverse audiences.
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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