1

Data Science Engineer Jobs in Plano, TX (NOW HIRING)

They are seeking a Staff Data Science Engineer to lead the design and delivery of scalable data science, machine learning, and analytics solutions that create measurable business value across the ...

Role Summary We are looking for a Staff Data Science Engineer to lead the design and delivery of scalable data science, machine learning, and analytics solutions that create measurable business value ...

Work you'll do As an AI and Data Science Engineer III on the AI & Data team, you will be responsible for driving technology-focused client delivery across complex engagements. Working within an ...

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 ...

The Data Science Team is focused on AUM growth, efficiency, and impact. We build and maintain ... Develop proof of concept solutions, and work with application developers to implement ideation and ...

Posted today

The Data Science Team is focused on AUM growth, efficiency, and impact. We build and maintain ... Develop proof of concept solutions, and work with application developers to implement ideation and ...

Posted today

The Data Science Team is focused on AUM growth, efficiency, and impact. We build and maintain ... Develop proof of concept solutions, and work with application developers to implement ideation and ...

Posted today

The Data Science Team is focused on AUM growth, efficiency, and impact. We build and maintain ... Develop proof of concept solutions, and work with application developers to implement ideation and ...

Posted today

KPMG is currently seeking a Manager, Data Science Engineer to join our Consulting practice. Responsibilities: * Translate advanced business analytics problems into technical approaches that yield ...

Data Science Tutor

Irving, TX ยท Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Data Science Tutor

Dallas, TX ยท Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

next page

Showing results 1-20

Data Science Engineer information

See Plano, TX salary details

$42.8K

$124.7K

$170.6K

How much do data science engineer jobs pay per year?

As of Jul 29, 2026, the average yearly pay for data science engineer in Plano, TX is $124,682.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $132,200.00 per year, depending on experience, location, and employer.

What engineers make 500,000?

Senior data science engineers, machine learning engineers, and software engineers with extensive experience and advanced skills in areas like AI, big data, and cloud computing can earn salaries of $500,000 or more, especially in high-cost-of-living regions or within top tech companies. Achieving this level often requires advanced degrees, certifications, and a strong track record of impactful projects.

Is 30 too late for data science?

Data Science Engineers can enter the field at any age, including 30, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and tools like Python or R. Age is less important than demonstrated expertise and the ability to adapt to evolving technologies.

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 does a data science engineer do?

A data science engineer designs, develops, and maintains data pipelines and infrastructure to support data analysis and machine learning models. They work with large datasets, use programming languages like Python or Scala, and often collaborate with data scientists and software engineers to ensure data quality and accessibility.

Is data science high paying?

Data science engineers typically earn high salaries due to their specialized skills in statistical analysis, programming, and machine learning. Salaries vary by experience, location, and industry, but data science roles are generally considered well-compensated within the tech field.
What are popular job titles related to Data Science Engineer jobs in Plano, TX? For Data Science Engineer jobs in Plano, TX, the most frequently searched job titles are:
What job categories do people searching Data Science Engineer jobs in Plano, TX look for? The top searched job categories for Data Science Engineer jobs in Plano, TX are:
What cities near Plano, TX are hiring for Data Science Engineer jobs? Cities near Plano, TX with the most Data Science Engineer job openings:
Infographic showing various Data Science Engineer job openings in Plano, TX as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $124,682 per year, or $59.9 per hour.

Lead Data Science Engineer

Health Care Service Corporation

Richardson, TX โ€ข Hybrid

$121K - $225K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 25 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 SummaryThis position is responsible for the engineering work necessary for successful creation, deployment and managing of AI capabilities of the Intelligent Delivery Platform. This includes
- ensuring data quality,
- creation of new data pipelines,
- optimization and management of existing data pipelines,
- ingestion and curation of data sources for Gen AI purposes (including chunking/embedding strategies for RAG system),
- AI Agent delivery,
- Prompt Engineering,
- selection and configuration of AI-specific tools and platforms
- management and monitoring of AI models through MLOps tools and model ops practices.
To operationalize AI capabilities, they will work closely with larger team who will supplement where traditional application development support is needed.

NOTE: This is a WFH role. Sponsorship is NOT available.

Required Job Qualifications:

  • Bachelor degree and 5 years of work experience in a computer science, engineering, or related field OR Master's degree and 4 years of work experience in a computer science, engineering, or related field OR Ph.D. and 2 years of work experience in a computer science, engineering, or related field"
  • 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: data analysis and relational-style query languages; data pipelining and ETL; working with semi structured and unstructured data; a high- level programming language; distributed computing; understanding of healthcare.
  • Proficiency in iterative development practices.
  • Independently delivering or leading the delivery of data engineering solutions for multiple complex analytics or data science projects and products.
  • A track record of independently delivering or leading the delivery of ML engineering capabilities.
  • Experience in Python-based Data Science frameworks (LangChain, LangGraph, LangFuse).
  • Experience in Model evaluation and deployment.
  • Experience in data curation, prep, training, and fine-tuning of Models.
  • Experience in evaluation frameworks
  • Experience in prompt engineering
  • Experience in working with multiple Models

Preferred Job Qualifications:

  • Master degree in a computational field, or Bachelor degree with significant healthcare experience
  • Understanding PySpark / Databricks to efficiently work with large data sets
  • Azure Cloud Infrastructure / Deployment with emphasis on AI related tooling, Azure ML, Azure OpenAI, etc.
  • Experience in Observability Frameworks and Framework Operationalization.
  • Experience in creation of knowledge graph database (neo4J)
  • Experience in working with Small Language Models or custom Models

#LI-BS1

#LI-Hybrid

#INCR

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$121,200.00 - $225,200.00

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