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Data Science Training Jobs in Texas (NOW HIRING)

Hp

AI Data Scientist - Enterprise AI

Austin, TX

$130K - $205K/yr

This role sits at the intersection of applied research, machine learning engineering, data science ... Support adoption of AI solutions through training, demonstrations, documentation, and stakeholder ...

Hp

AI Data Scientist - Enterprise AI

Spring, TX

$130K - $205K/yr

This role sits at the intersection of applied research, machine learning engineering, data science ... Support adoption of AI solutions through training, demonstrations, documentation, and stakeholder ...

Bread Financial

Lead Data Scientist

Frisco, TX · On-site +1

$144K - $250K/yr

... Training and mentoring to junior Data Scientists. Lead projects as needed or required - (10%) ... Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ...

Munich Re

Data Scientist, AI

Houston, TX · On-site +1

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ... training can easily find connections to. Understand stakeholders' requests and hidden issues and ...

US Department of the Air Force

$49K/yr

The program offers a 3-year formal training plan with yearly salary increases. Promotions and ... Mathematics, statistics, computer science, data science or field directly related to the position.

PepsiCo

Data Scientist

Plano, TX · On-site

$80.20 - $134.25/hr

The Data Science Pillar in D+A is our core organization that Data Scientist and ML Engineers report ... Communicate with business stakeholders in the process of service design, training and knowledge ...

PepsiCo

Data Scientist

Plano, TX · On-site

$80K - $134K/yr

The Data Science Pillar in D+A is our core organization that Data Scientist and ML Engineers report ... Communicate with business stakeholders in the process of service design, training and knowledge ...

PepsiCo

Data Scientist

Plano, TX · On-site

$80K - $134K/yr

The Data Science Pillar in D+A is our core organization that Data Scientist and ML Engineers report ... Communicate with business stakeholders in the process of service design, training and knowledge ...

PepsiCo Deutschland GmbH

Data Scientist

Plano, TX · On-site

$80.20 - $134.25/hr

The Data Science Pillar in D+A is our core organization that Data Scientist and ML Engineers report ... Communicate with business stakeholders in the process of service design, training and knowledge ...

New

PepsiCo

Data Scientist

Plano, TX · On-site

$80K - $134K/yr

The Data Science Pillar in D+A is our core organization that Data Scientist and ML Engineers report ... Communicate with business stakeholders in the process of service design, training and knowledge ...

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All JobsData Science Training JobsData Science Training Jobs in Texas

Data Science Training information

See Texas salary details

$21.5K

$91.4K

$171.5K

How much do data science training jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data science training in Texas is $91,444.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,439.00 and $108,170.00 per year, depending on experience, location, and employer.

How do I get a job in data science training with no experience?

To get a job in data science training with no experience, focus on building foundational knowledge through online courses, certifications, and practical projects. Developing strong communication skills and familiarity with tools like Python, R, or SQL can also improve your chances, and gaining experience through internships or volunteering can help demonstrate your expertise to employers.

What is data science training?

A Data Science Training job involves teaching and guiding individuals or teams in data science concepts, tools, and techniques. Trainers design curricula, conduct workshops, and provide hands-on experience with programming languages like Python or R, machine learning, and data visualization. They may work for educational institutions, corporate training programs, or independently to upskill professionals. The goal is to equip learners with the skills needed to analyze data, build models, and make data-driven decisions.

What training do you need to be a data scientist?

To become a data scientist, you typically need a strong foundation in mathematics, statistics, and programming, often gained through a bachelor's degree in a related field such as computer science, mathematics, or engineering. Many data scientists also pursue advanced degrees like a master's or Ph.D., and proficiency in tools such as Python, R, SQL, and machine learning frameworks is essential. Additionally, practical experience through projects, internships, or certifications can enhance job prospects.

What are the typical responsibilities of a professional in data science training?

Individuals in Data Science Training roles are responsible for developing, organizing, and delivering curriculum on topics such as data analysis, machine learning, and data visualization. They often lead workshops, create interactive tutorials, and provide one-on-one guidance to learners from diverse backgrounds. Collaboration with data science teams and subject matter experts to ensure training content is current and industry-relevant is common. Additionally, professionals assess learner progress and adapt materials to continuously improve the educational experience. This role is ideal for those passionate about teaching and staying at the forefront of new data science advancements.

What are the key skills and qualifications needed to thrive in data science training, and why are they important?

To excel in Data Science Training roles, you need a solid foundation in data analysis, statistical modeling, and expertise with programming languages like Python or R, often supported by a degree in data science or a related field. Familiarity with tools such as Jupyter Notebooks, SQL, machine learning platforms, and certifications like Google Data Analytics or Microsoft Certified: Data Scientist Associate are highly valued. Excellent communication, patience, and instructional skills help convey complex topics clearly and foster a collaborative learning environment. These combined skills are essential for effectively designing and delivering training that empowers learners to succeed in the rapidly evolving field of data science.

What are the most commonly searched types of Data Science Training jobs in Texas? The most popular types of Data Science Training jobs in Texas are:
What are popular job titles related to Data Science Training jobs in Texas? For Data Science Training jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Science Training jobs in Texas look for? The top searched job categories for Data Science Training jobs in Texas are:
Data Science Training jobs near you
Infographic showing various Data Science Training job openings in Texas as of August 2026, with employment types broken down into 83% Full Time, 4% Part Time, 4% Temporary, and 9% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $91,444 per year, or $44 per hour.

Senior Data Scientist

Bright Vision Technologies

Coppell, TX • Remote

$160K - $180K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: Senior Data Scientist
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $160,000–$180,000 Annually
Experience Required: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
Job Summary:
We are seeking an accomplished Senior Data Scientist to design, develop, deploy, and optimize enterprise-grade data science and machine learning solutions that support strategic business initiatives across multiple domains. In this role, you will be responsible for the complete data science lifecycle, from translating business problems into analytical solutions and developing predictive models to deploying machine learning pipelines, monitoring model performance, and supporting data-driven decision-making throughout the operational lifecycle. The successful candidate will bring deep expertise in statistical analysis, machine learning, predictive modeling, and data engineering, combined with strong hands-on experience working with large-scale structured and unstructured datasets using modern analytics platforms and cloud technologies. You will work closely with business stakeholders, data engineers, software developers, product managers, and cross-functional teams in an Agile environment to deliver scalable, accurate, and impactful data science solutions that directly support strategic business outcomes.
Required Qualifications
  • Bachelor\'s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Artificial Intelligence, or a closely related quantitative discipline.
  • Five or more years of professional experience developing production-grade machine learning models, predictive analytics solutions, and enterprise data science applications.
  • Strong, demonstrable understanding of statistics, probability, machine learning algorithms, data structures, data modeling, feature engineering, model evaluation techniques, and end-to-end machine learning lifecycle principles.
  • Advanced working knowledge of Python, R, SQL, Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, and modern data science libraries for building scalable analytical solutions.
  • Hands-on, production-level experience designing, training, validating, deploying, and monitoring machine learning models, including regression, classification, clustering, forecasting, recommendation systems, and natural language processing applications.
  • Proven experience working with relational and NoSQL databases, large-scale datasets, data warehouses, and distributed data processing platforms such as Spark, Hadoop, Snowflake, Databricks, or BigQuery.
  • Strong SQL skills and meaningful experience performing data exploration, feature engineering, query optimization, ETL development, data visualization, and business intelligence reporting using enterprise data platforms.
  • Solid experience with Git-based version control workflows, CI/CD processes, MLOps practices, model deployment pipelines, code review processes, and collaborative software development methodologies.
  • Hands-on experience deploying machine learning solutions on at least one major cloud platform (AWS, Azure, or GCP), including managed AI/ML services, storage, networking, and identity management capabilities.
  • Strong debugging, analytical thinking, problem-solving, and root-cause analysis skills, with the discipline to investigate complex data challenges methodically, communicate findings effectively, and translate analytical insights into actionable business recommendations.

Preferred Qualifications
  • Experience designing and deploying real-time machine learning systems, recommendation engines, streaming analytics, event-driven architectures, or large-scale AI applications using Kafka, Spark Streaming, or equivalent technologies.
  • Familiarity with containerization and orchestration using Docker, Kubernetes, Kubeflow, MLflow, Airflow, or equivalent platforms for production machine learning operations.
  • Exposure to advanced artificial intelligence concepts such as deep learning, reinforcement learning, computer vision, generative AI, large language models (LLMs), explainable AI (XAI), model fairness, and responsible AI practices.
  • Experience implementing automated testing, model monitoring, feature stores, experiment tracking, data governance, MLOps best practices, and continuous machine learning delivery pipelines within enterprise Agile software development environments.

How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to Harry@bvteck.com or contact us at (908)676-4399. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees\' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

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