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Afternoon Data Analyst R Programming Jobs in Tyler, TX

... analytics to empower over 50,000 business and government customers with responsibly architected ... This role sits at the intersection of data science and AI engineering - you'll own the science of ...

... analytics to empower over 50,000 business and government customers with responsibly architected ... This role sits at the intersection of data science and AI engineering - you'll own the science of ...

Mentor junior data modelers, data engineers, and analytics professionals in modeling standards and practices. * Review and approve models created by other teams to ensure enterprise alignment.

Mentor junior data modelers, data engineers, and analytics professionals in modeling standards and practices. * Review and approve models created by other teams to ensure enterprise alignment.

Job Overview The Quality Engineer - Voice of Customer (VOC) plays a pivotal role within our ... Verify effectiveness of corrective actions through data analysis and validation, ensuring actions ...

Air Modeler

Tyler, TX ยท Remote

$80K - $119K/yr

... analytical judgement, and problem-solving ability. What We'd Love to See in You Proficiency with GIS, mapping tools, and spatial data processing. Programming and scripting experience in Python, R ...

Engineer

Tyler, TX ยท On-site

Research information and will compile data for client presentations, shop drawings for review, and ... Ability to apply analysis to identify the best solution to a technical problem, effectively ...

The trusted source of decision-ready data for 1,800+ companies, Quorum Software makes the essential ... Work closely with our product and engineering teams to provide detailed problem descriptions of ...

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Afternoon Data Analyst R Programming information

See Tyler, TX salary details

$32K

$77.9K

$128.2K

How much do afternoon data analyst r programming jobs pay per year?

As of Jul 30, 2026, the average yearly pay for afternoon data analyst r programming in Tyler, TX is $77,874.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,900.00 and $91,400.00 per year, depending on experience, location, and employer.

What is an Afternoon Data Analyst R Programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

What are some common challenges faced by Afternoon Data Analysts working with R Programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

What are the key skills and qualifications needed to thrive as an Afternoon Data Analyst specializing in R Programming, and why are they important?

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.
What are the most commonly searched types of Data Analyst R Programming jobs in Tyler, TX? The most popular types of Data Analyst R Programming jobs in Tyler, TX are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Tyler, TX? For Afternoon Data Analyst R Programming jobs in Tyler, TX, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Tyler, TX look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Tyler, TX are:
What cities near Tyler, TX are hiring for Afternoon Data Analyst R Programming jobs? Cities near Tyler, TX with the most Afternoon Data Analyst R Programming job openings:

Data Scientist

Trellix

Enterprise, TX โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 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

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