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Entry Level Data Science Training Jobs in Texas (NOW HIRING)

IntelliGenesis LLC

Data Scientist Level 3

Boerne, TX · On-site

$92K - $126K/yr

Data science * Advanced analytical algorithms * Programming (skill in at least one high-level ... 401(k) company match, training/education reimbursements and other work/life programs.

IntelliGenesis

Data Scientist Level 3

Boerne, TX · On-site

Data science * Advanced analytical algorithms * Programming (skill in at least one high-level ... 401(k) company match, training/education reimbursements and other work/life programs ...

Department of Human Services

Data Scientist

Dallas, TX · On-site

$112K/yr

... training and experience that translates directly to paid employment. You will receive credit for ... Mathematics, statistics, computer science, data science or field directly related to the position.

McLane Company

Data Scientist - MBIS

Temple, TX · Hybrid

Bachelor's degree in data science, data analytics, or related field; or comparable job experience ... member training, and emphasizing our people-centered culture. Candidates may be subject to a ...

SynergisticIT

entry level java developer

Austin, TX

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, data analysts/data scientists. We welcome candidates with all visas and citizens to apply. Who ...

SynergisticIT

Entry Level Java Developer

Austin, TX

Currently, We are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/ Data Scientists. We welcome candidates with all visas and citizens to apply. Who ...

Department of Human Services

Data Scientist

Dallas, TX · On-site

$108K/yr

... training and experience that translates directly to paid employment. You will receive credit for ... Mathematics, statistics, computer science, data science or field directly related to the position.

Publicis Groupe Holdings B.V

Data Scientist

Irving, TX · Hybrid

$73K - $136K/yr

Responsibilities * Assist with and execute data science projects, working with product, engineering ... Apply knowledge and training in data modeling, data mining and optimization to very large scale ...

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Entry Level Data Science Training information

What can I expect from the team structure and mentorship opportunities during Entry Level Data Science Training?

During Entry Level Data Science Training, you will often find yourself working as part of a collaborative team that includes experienced data scientists, analysts, and sometimes software engineers. Many training programs and entry-level positions offer structured mentorship, where senior team members guide you through technical challenges and best practices. Regular feedback sessions and pair programming are common, helping you quickly build practical skills. You'll also likely participate in group projects, fostering teamwork and exposing you to real-world data problems.

What is the difference between Entry Level Data Science Training vs Data Analyst?

AspectEntry Level Data Science TrainingData Analyst
Required CredentialsBasic understanding of statistics, programming, and data tools; often includes certifications or coursesTypically requires a degree in statistics, mathematics, or related field; may include certifications
Work EnvironmentTraining programs, online courses, workshops; often self-paced or instructor-ledOffice setting, working with data visualization, reporting tools, and databases
Employer & Industry UsageUsed by individuals seeking entry into data science roles; employers value foundational skillsEmployed across industries for data reporting, analysis, and business insights

Entry Level Data Science Training provides foundational skills and certifications to prepare individuals for data analysis roles. Data Analysts focus on interpreting data, creating reports, and supporting decision-making. While training emphasizes learning tools and techniques, data analysts apply these skills in real-world work environments. Both roles are essential in data-driven industries, but training is a stepping stone toward a full data analyst position.

What are the key skills and qualifications needed to thrive in Entry Level Data Science Training, and why are they important?

To thrive in Entry Level Data Science Training, you need a solid understanding of statistics, basic programming (often Python or R), and foundational data analysis concepts, typically demonstrated through relevant coursework or a degree in a quantitative field. Familiarity with data analysis tools like Jupyter Notebooks, Excel, and introductory machine learning libraries is important, as well as exposure to version control systems like Git. Strong problem-solving skills, curiosity, and effective communication make trainees stand out in collaborative and learning-focused environments. These skills and qualities are crucial for building a successful data science career and effectively translating data insights into actionable outcomes.

What is entry level data science training?

Entry level data science training is a program or course designed to introduce beginners to the fundamental concepts, tools, and techniques used in data science. These trainings typically cover topics such as data analysis, statistics, programming (often in Python or R), and the basics of machine learning. They are intended for individuals with little to no prior experience in data science and help prepare participants for entry-level roles or further study in the field.
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:
Entry Level Data Science Training jobs near you
Infographic showing various Entry Level Data Science Training job openings in Texas as of June 2026, with employment types broken down into 60% Full Time, and 40% Part Time. Highlights an 100% In-person job distribution.
Data Scientist Level 3

Data Scientist Level 3

IntelliGenesis LLC

Boerne, TX • On-site

$92K - $126K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 4 days ago

Job description

Job Duties
  • Employ some combination (2 or more) of the following skill areas:
    • Foundations: (Mathematical, Computational, Statistical)
    • Data Processing: (Data management and curation, data description and visualization, workflow, and reproducibility)
    • Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations)
  • Devise strategies for extracting meaning and value from large datasets
  • Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application-specific knowledge
  • Through analytic modeling, statistical analysis, programming, and/or other appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in customer data holdings
  • Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist other with drawing appropriate conclusions from the analysis of such data
  • Effectively communicate complex technical information to non-technical audiences
  • Make informed recommendations regarding competing technical solutions by maintaining awareness of constantly shifting collection, processing, storage and analytic capabilities and limitations

Required Skills:
  • US Citizens Only
  • Active TS/SCI Clearance and Polygraph required
  • Information Assurance Certification may be required
  • Minimum of ten (10) years of relevant experience and a Bachelor's degree or twelve (12) years of relevant experience and an Associate's degree required.
  • Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science
  • A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university
  • Relevant experience must be two of more of the following:
    • Designing/implementing machine learning
    • Data science
    • Advanced analytical algorithms
    • Programming (skill in at least one high-level language (e.g., Python))
    • Statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models)
    • Data management (e.g., data cleaning and transformation)
    • Data mining
    • Data modeling and assessment
    • Artificial intelligence
    • Software engineering

Compensation Range: $92,000 - $126,000
Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, candidate's scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements and alignment with local market data.
Our compensation includes other indirect financial components designed to support employees' total well-being, which should be considered when evaluating our competitive benefits package. These monetary benefits include medical insurance, life insurance, disability, paid time off, maternity/paternity leave, 401(k) company match, training/education reimbursements and other work/life programs.
IntelliGenesis is committed to providing equal opportunity to all employees and applicants for employment. The Company is an Equal Opportunity Employer (EOE), and as such, does not tolerate discrimination, retaliation, or harassment of its employees or applicants based upon race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or any other protected characteristic under local, state, or federal law in any employment practice. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment, or recruitment advertising, selection, disciplinary action layoff, termination, rates of pay, or other forms of compensation and selection of training.
IntelliGenesis is committed to the fair and equal employment of individuals with disabilities. It is the Company's policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the organization. In accordance with the Americans with Disabilities Act (ADA) as amended, reasonable accommodations will be provided to qualified individuals with disabilities, when such accommodations are necessary, to enable them to perform the essential functions of their jobs or to enjoy the equal benefits and privileges of employment. This policy applies to all applicants for employment and all employees.

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