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Entry Level Data Science Training Jobs (NOW HIRING)

DeFiner Inc

Collaborate closely with data analysts, data engineers, and business and project stakeholders to incorporate their expertise into data science solutions. * Present and defend results to leadership ...

Guidehealth

Data Scientist

Boston, MA · Remote

$105K/yr

Advanced degree (MS or PhD) in Biostatistics, Epidemiology, Health Informatics, Data Science, or a related field, or clinical licensure combined with formal data science training. * 2+ years of ...

New

VHB

Entry Level Data Architect

Charlotte, NC · Hybrid

$95K - $98K/yr

Bachelor's degree in computer science, Information Systems, Data Science, Engineering, or a related ... training, credentials, experience, scope and complexity of role responsibilities, and geographic ...

Guidehealth

Data Scientist

Boston, MA · Remote

$105K/yr

Advanced degree (MS or PhD) in Biostatistics, Epidemiology, Health Informatics, Data Science, or a related field, or clinical licensure combined with formal data science training. * 2+ years of ...

New

VHB

Entry Level Data Architect

Orlando, FL · Hybrid

$95K - $98K/yr

Bachelor's degree in computer science, Information Systems, Data Science, Engineering, or a related ... training, credentials, experience, scope and complexity of role responsibilities, and geographic ...

VHB

Entry Level Data Architect

Washington, DC · Hybrid

$95K - $98K/yr

Bachelor's degree in computer science, Information Systems, Data Science, Engineering, or a related ... training, credentials, experience, scope and complexity of role responsibilities, and geographic ...

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How much do entry level data science training jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for entry level data science training in the United States is $19.47, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.88 per hour, depending on experience, location, and employer.

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?

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?

The most popular types of Data Science Training jobs are:

What states have the most Entry Level Data Science Training jobs?

States with the most job openings for Entry Level Data Science Training jobs include:

Entry Level Data Science Training jobs near you

Entry Level Data Scientist

DeFiner Inc

Full-time

Re-posted 3 days ago

Job description

Job Description
  • Work closely with engineering and marketing teams to identify and answer important product questions to drive business growth.
  • Create machine learning solutions for a diverse set of business problems.
  • Employ structured approaches to leveraging large data sets to uncover new insights.
  • Collaborate closely with data analysts, data engineers, and business and project stakeholders to incorporate their expertise into data science solutions.
  • Present and defend results to leadership audiences, both technical and non-technical.
  • Our team philosophy encourages knowledge sharing so you will contribute to the research community through technical papers and presentations published both internally and externally.
Tech Stack
  • SQL
  • Python
  • Jupyter Notebook
  • (Optional) R script
Experience & Qualifications
  • Passion in modern technology and ability to work in a start-up environment.
  • Efficient on Jupyter Notebook
  • Good mathematic and algorithm background
  • Strong influencing skills essential. Capable of assertively interacting with business stakeholders and counterparts in order to resolve day to day issues.
  • Highly organized individual with attention to detail and excellent ability to execute on deliverables.
Employment Type: FULL_TIME

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