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

Alcon

Senior Associate Data Science

Fort Worth, TX · On-site

As a Senior Associate, Data Science , you will be part of Alcon's Analytics & Intelligence function ... training, promotion or other employment practices for reasons of race, color, religion, gender ...

Mastech Digital

Data Scientist

Irving, TX · On-site

$65 - $70/hr

... data science, feature engineering, and customer segmentation. - 2+ years of hands-on experience with Python, SQL, and PySpark. - 2+ years of experience training, evaluating, and deploying machine ...

Kemper

Data Scientist

Dallas, TX · On-site +1

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 ...

Fidelity Investments

Data Scientist

Westlake, TX · On-site

$83K - $158K/yr

... science, statistics or similar quantitative field, OR 2+ years practical experience on the job * Hands onexpertisein data extraction, cleaning, and preparation; feature extraction; model training and ...

3B Staffing LLC

Data Science/Data Engineer

Austin, TX · On-site

Correlation or construct LLM training * Dataset via Feature engineering * Data curation from large unstructured dataset Skills needed * Python (not for scripting) * Pandas * Numpy * Scikit Learnh

Bread Financial

Lead Data Scientist

Frisco, TX · On-site +1

$138K - $272K/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 ...

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.

Essilor

Data Scientist

Dallas, TX

Translate ambiguous business problems into structured data science statements * Organize exploratory analysis, experimentation, and research frameworks * Structure scalable ML pipelines for training ...

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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 July 2026, with employment types broken down into 60% Full Time, and 40% Part Time. Highlights an 100% In-person job distribution.
Data Analyst - Junior Level (Remote)

Data Analyst - Junior Level (Remote)

SynergisticIT

Richardson, TX • On-site

Other

Posted 2 days ago

Job description

Entry-Level Data Analyst — Start Your Career in Data With Practical Skills Data analyst roles are attractive because they sit at the intersection of business, technology, and decision-making. But entry-level data roles are also competitive. Employers want candidates who can write SQL queries, clean data, build dashboards, understand business metrics, and communicate insights clearly. A degree or certificate may help, but it is often not enough by itself. SynergisticIT is looking for candidates interested in data analytics, SQL, Python, Excel, Power BI, Tableau, business reporting, data visualization, and dashboard development. This role is well-suited for recent graduates, career changers, and candidates who enjoy solving problems with data. Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Please check below links: Synergisticit Industry Event videos (OCW, JavaOne, Gartner data Analytics): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Explore JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ SynergisticIT JOPP is good for aspiring data analysts because it focuses on job readiness, not just learning tools. Candidates can strengthen their technical stack, build portfolio-style projects, improve resume keywords, and prepare for interviews where they may need to explain SQL logic, dashboards, data-cleaning decisions, and business impact. If you are ready to turn your interest in data into a career path, Contact us Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

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