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Data Science Jobs in Tyler, TX (NOW HIRING)

Trellix

Data Scientist

Enterprise, TX · On-site

This role sits at the intersection of data science and AI engineering - you'll own the science of how we know our AI works, designing evaluation frameworks, curating test datasets, and measuring the ...

Trellix

Staff Software Engineer

Enterprise, TX

This role sits at the intersection of data science and AI engineering - you'll own the science of how we know our AI works, designing evaluation frameworks, curating test datasets, and measuring the ...

NABORS

ETX-FIELD.HVAC TECHNICIAN III

Tyler, TX

By leveraging its core competencies, particularly in drilling, engineering, automation, data science and manufacturing, Nabors aims to innovate the future of energy and enable the transition to a ...

Trane Technologies plc

Senior Data Modeler

Tyler, TX · On-site

Bachelor's or master's degree in Computer Science, Information Technology, or related field. * Formal training and certification in data modeling, data architecture, or data management TOGAF, CDMP ...

trane technologies

Senior Data Modeler

Tyler, TX · On-site

Bachelor's or master's degree in Computer Science, Information Technology, or related field. * Formal training and certification in data modeling, data architecture, or data management TOGAF, CDMP ...

NABORS

TUBULAR SERVICES TECHNICIAN I -ETX

Tyler, TX · On-site

$17 - $22/hr

By leveraging its core competencies, particularly in drilling, engineering, automation, data science and manufacturing, Nabors aims to innovate the future of energy and enable the transition to a ...

NABORS

ETX-FIELD.MECHANIC III

Tyler, TX · On-site

$23.50 - $32/hr

By leveraging its core competencies, particularly in drilling, engineering, automation, data science and manufacturing, Nabors aims to innovate the future of energy and enable the transition to a ...

NABORS

ETX FIELD.FLOORHAND I

Tyler, TX

... data science and manufacturing, Nabors aims to innovate the future of energy and enable the transition to a lower carbon world.High School diploma or equivalentUnderstand the requirements of the ...

Nabors Industries Limited

ETX-FIELD.MECHANIC III

Tyler, TX · On-site

$23.50 - $32/hr

By leveraging its core competencies, particularly in drilling, engineering, automation, data science and manufacturing, Nabors aims to innovate the future of energy and enable the transition to a ...

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All JobsData Science JobsData Science Jobs in Tyler, TX

Data Science information

See Tyler, TX salary details

$35.3K

$115.7K

$185.2K

How much do data science jobs pay per year?

As of Jul 31, 2026, the average yearly pay for data science in Tyler, TX is $115,660.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,800.00 and $128,200.00 per year, depending on experience, location, and employer.

Is data science a good career?

Data science is a growing field with high demand for professionals skilled in statistics, programming, and data analysis tools like Python and R. It offers competitive salaries, diverse industry applications, and opportunities for advancement, making it a strong career choice for those with relevant skills and education.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What jobs can a Data Scientist do?

A Data Scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What work do you do as a Data Scientist?

A Data Scientist analyzes large datasets to extract insights, build predictive models, and inform business decisions. They use programming languages like Python or R, and tools such as SQL and machine learning frameworks, often working in collaborative environments with data engineers and analysts.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
More about Data Science jobs
What are the most commonly searched types of Data Science jobs in Tyler, TX? The most popular types of Data Science jobs in Tyler, TX are:
What are popular job titles related to Data Science jobs in Tyler, TX? For Data Science jobs in Tyler, TX, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Tyler, TX look for? The top searched job categories for Data Science jobs in Tyler, TX are:
What cities near Tyler, TX are hiring for Data Science jobs? Cities near Tyler, TX with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Tyler, TX as of July 2026, with employment types broken down into 100% Full Time. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $115,660 per year, or $55.6 per hour.

Data Scientist

Trellix

Enterprise, TX • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 days ago

Job description

Job Title:
Data Scientist
About Trellix
Trellix is a global company redefining the future of cybersecurity. The company's comprehensive, open, and native cybersecurity platform helps organizations confronted by today's most advanced threats gain confidence in the protection and resilience of their operations. Trellix, along with an extensive partner ecosystem, accelerates technology innovation through artificial intelligence, automation, and analytics to empower over 50,000 business and government customers with responsibly architected security. More at https://trellix.com.
Role Overview:
Join our innovative team at Trellix, where you'll be instrumental in building the evaluation and benchmarking infrastructure for our cutting-edge agentic AI platform. This role sits at the intersection of data science and AI engineering - you'll own the science of how we know our AI works, designing evaluation frameworks, curating test datasets, and measuring the performance of AI agents, knowledge graphs, and foundation models across the Trellix security portfolio.
About the Role:
  • Evaluation Framework Design: Architect and implement rigorous evaluation pipelines for agentic AI systems, including multi-step reasoning agents, retrieval-augmented pipelines, and autonomous SOC workflows.
  • Model & Agent Benchmarking: Design and execute model evaluations to assess accuracy, reliability, latency, and safety across LLMs and agentic systems, including custom benchmarks tailored to cybersecurity use cases.
  • Knowledge Graph Evaluation: Develop methods to validate knowledge graph quality, coverage, and correctness including entity resolution, relationship accuracy, and graph completeness metrics.
  • Dataset Engineering: Build, curate, and maintain high-quality synthetic and real-world datasets for training, fine-tuning, and testing models and agents - including adversarial and edge-case datasets.
  • Agentic Agent Testing: Design structured test harnesses for agentic systems covering tool use, multi-agent coordination, hallucination rates, decision quality, and task completion fidelity.
  • Metrics & Observability: Define and instrument evaluation metrics, surface results through dashboards, and translate findings into actionable insights for engineering and product teams.
  • Research & Innovation: Stay current with the latest evaluation methodologies (e.g., LLM-as-judge, RAGAS, MT-Bench, custom evals) and adapt them to Trellix's security domain.
  • Cross-Functional Collaboration: Partner closely with AI engineers, product managers, and security researchers to align evaluation standards with real-world performance requirements.

About You:
  • Experience: 5+ years of professional experience in data science, ML engineering, or AI research, with hands-on work in evaluation or benchmarking of AI/ML systems.
  • Data Science & ML Core:
    • Strong proficiency in Python (pandas, NumPy, scikit-learn)
    • Statistical analysis and experimental design
    • Experience building and managing datasets for ML training and evaluation
    • Familiarity with annotation workflows and data quality frameworks
  • AI/LLM Evaluation:
    • Hands-on experience evaluating Large Language Models (LLMs)
    • Familiarity with evaluation frameworks such as RAGAS, HELM, EleutherAI LM Eval, or equivalent
    • Experience designing LLM-as-judge pipelines or preference evaluation workflows
    • Understanding of hallucination detection, groundedness, and faithfulness metrics
  • Agentic Systems:
    • Experience testing or evaluating agentic AI systems
    • Familiarity with tool use, ReACT-style, Deep Agents, and multi-agent coordination patterns
    • Ability to define pass/fail criteria for complex, multi-step agent tasks
  • Knowledge Graphs:
    • Experience working with knowledge graphs (NebulaGraph, Neo4j, or equivalent)
    • Ability to evaluate graph quality, ontology coverage, and traversal correctness
    • Familiarity with embedding-based retrieval and vector databases (Qdrant preferred)
  • Data Engineering & Infrastructure:
    • Experience with synthetic data generation for model and agent testing
    • Proficiency with vector databases and embedding pipelines
    • Familiarity with MLflow, Weights & Biases, Langfuse, or similar experiment tracking tools
    • AWS experience preferred
  • Domain Knowledge:
    • Familiarity with the cybersecurity domain strongly preferred
    • Understanding of SOC workflows, threat detection, and incident response a plus
    • Experience evaluating AI systems in high-stakes or regulated environments a plus
  • Soft Skills:
    • Strong analytical thinking and ability to translate ambiguous quality questions into measurable metrics
    • Excellent written communication - able to document evaluation methodologies and present findings to technical and non-technical stakeholders
    • Collaborative mindset with a bias toward rigor and reproducibility

Company Benefits and Perks:
We believe that the best solutions are developed by teams who embrace each other's unique experiences, skills, and abilities. We work hard to create a dynamic workforce where we encourage everyone to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.
  • Retirement Plans
  • Medical, Dental and Vision Coverage
  • Paid Time Off
  • Paid Parental Leave
  • Support for Community Involvement

We're serious about our commitment to a workplace where everyone can thrive and contribute to our industry-leading products and customer support, which is why we prohibit discrimination and harassment based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.
Our Commitment to You:
At Trellix, we are committed to creating a safe and trustworthy experience for our customers, employees, and candidates. Please be aware that fraudulent recruiting activity can occur through fake job postings or impersonated communications.
Trellix conducts interviews through professional channels only and does not use text messages, instant messaging, or group chats for interviews. We will never request sensitive personal information-such as your date of birth, Social Security number, or national ID number-during the interview process.
Trellix also does not require candidates to pay fees, purchase products or services, or process payments of any kind as part of the recruiting or hiring process. And Trellix will never keep any original work authorization documents that we may be required to review during the hiring process.
Trellix logo

About Trellix

Sourced by ZipRecruiter

Trellix is a global company redefining the future of cybersecurity. The company's open and native extended detection and response (XDR) platform helps organizations confronted by today's most advanced threats gain confidence in the protection and resilience of their operations. Trellix's security experts, along with an extensive partner ecosystem, accelerate technology innovation through machine learning and automation to empower over 40,000 business and government customers.

Industry

Internet and it

Company size

1,001 - 5,000 Employees

Headquarters location

San Jose, CA, US

Year founded

2022

Social media

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