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Data Science Training Jobs in Texas (NOW HIRING)

Data Scientist

Dallas, TX · On-site

$65 - $75/hr

... training, or business needs. - Limited business travel may be required. Roles & Responsibilities . 6+ years of experience in Machine Learning and Data Science. * Strong understanding of Generative AI ...

Fellows are immersed in team-based science, pairing cancer biology and data science expertise to ... Exceptional Mentorship & Career Development - Receive personalized mentorship, structured training ...

Data Scientist

Spring, TX · On-site

$71.50 - $164.40/hr

... specialized training, education, or previous experience. Acts as team member by providing ... Supports the research, identification and delivery of data science solutions to problems.

New

Core Data Science Engineering & MLOps * Work in Databricks for ETL, feature engineering, ML training, and orchestration. * Use Azure services for model deployment, data pipelines, and infrastructure.

Data Science is a driver of significant competitive advantage for Kemper and is critical to the ... Solid understanding of statistical modeling and machine learning concepts, including model training ...

Data Scientist

Dallas, TX · On-site

$65 - $75/hr

... training, or business needs. - Limited business travel may be required. Roles & Responsibilities 6+ years of experience in Machine Learning and Data Science. • Strong understanding of Generative AI ...

Senior Data Scientist

San Antonio, TX · On-site

$140 - $210/hr

Act as the technical lead for high-impact data science projects, from ideation through production ... Collaborate with Analytics Engineers and Data Management teams to source model training data from ...

Responsibilities : • Act as the technical lead for high-impact data science projects, from ... model training data from governed medallion layers (Bronze → Silver → Gold), ensuring data ...

Act as the technical lead for high-impact data science projects, from ideation through production ... Collaborate with Analytics Engineers and Data Management teams to source model training data from ...

Act as the technical lead for high-impact data science projects, from ideation through production ... Collaborate with Analytics Engineers and Data Management teams to source model training data from ...

Act as the technical lead for high-impact data science projects, from ideation through production ... Collaborate with Analytics Engineers and Data Management teams to source model training data from ...

Showing results 21-40

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:
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.

Data Scientist

Select Minds LLC

Dallas, TX • On-site

$65 - $75/hr

Full-time

Re-posted 14 days ago


Job description

Benefits:
  • HYBRID
  • Competitive salary
  • Opportunity for advancement
  • Training & development

Job Title: Data Scientist – Integrated Operations
Location: Dallas, TX (Hybrid Remote)
In-Person Interview
 Must be authorized to work in the U.S

Work Arrangement
- Hybrid work model: primarily remote within the Dallas–Fort Worth area.
- Occasional on-site presence required for meetings, training, or business needs.
- Limited business travel may be required.
Roles &  Responsibilities
.               6+ years of experience in Machine Learning and Data Science.
•            Strong understanding of Generative AI, Retrieval Augmented Generation, Agentic Workflow, Statistical methods, data structures, and       algorithms.
•            Strong programming skills in Python; experience with Machine Learning libraries and Generative AI frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, PyTorch, scikit-learn, LangChain) and LLMs.
•            Experience developing and deploying AI solutions on cloud platforms (e.g., AWS, Azure, or GCP).
•            Experience in building Asynchronous Python APIs.
•            Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau.
•            Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI solutions.
•            Proven experience in developing and deploying machine learning models in a production environment.
•            Experience working with large datasets and performing data analysis
Required Qualifications
Education
- Bachelor's degree in Mathematics, Computer/Data Science, Information Technology, or a related field, or equivalent experience.
Experience
- Advanced experience in data science, machine learning, AI, or optimization projects.
- Proficiency in Python and SQL.
- Strong understanding of statistical methods, experimental design, and model validation.
- Experience with data pipelines and relevant programming libraries (e.g., Pandas, NumPy, Scikit-learn, XGBoost, TensorFlow, Pyspark).
- Familiarity with data visualization tools (e.g., Tableau, Plotly, Streamlit).
Preferred Experience
- Experience with AWS cloud services (e.g., SageMaker, Lambda, Glue, EMR).
- Exposure to specialized analytics areas such as simulation, graph analytics, or video analytics.

Skills & Abilities

- Ability to independently manage and deliver on complex projects.
- Strong problem-solving and critical thinking skills.
- Effective communication skills for both technical and executive audiences.
- Ability to adapt quickly to changing priorities and new technologies.
- Strong interpersonal and collaboration skills.
.....