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Entry Level Data Science Training Jobs (NOW HIRING)

Data Scientist

Boston, MA ยท On-site +1

$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

Entry Level Data Architect

New York, NY ยท 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 ...

Entry Level Data Architect

Atlanta, GA ยท 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 ...

Entry Level Data Architect

Charlotte, NC ยท 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 ...

Entry Level Data Architect

New York, NY ยท 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 ...

Entry Level Data Architect

Orlando, FL ยท 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 ...

Entry Level Data Architect

Atlanta, GA ยท 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 ...

Entry Level Data Architect

Washington, DC ยท 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 ...

Entry Level Data Architect

Watertown, MA ยท 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 ...

Entry Level Data Architect

Watertown, MA ยท 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 ...

Showing results 41-60

Entry Level Data Science Training information

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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:

Data Scientist

Guidehealth

Boston, MA โ€ข On-site, Remote

$105K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Company Description
WHO IS GUIDEHEALTH?
Guidehealth is a data-powered, performance-driven healthcare company dedicated to operational excellence. Our goal is to make great healthcare affordable, improve the health of patients, and restore the fulfillment of practicing medicine for providers. Driven by empathy and powered by AI and predictive analytics, Guidehealth leverages remotely-embedded Healthguidesโ„ข and a centralized Managed Service Organization to build stronger connections with patients and providers. Physician-led, Guidehealth empowers our partners to deliver high-quality healthcare focused on outcomes and value inside and outside the exam room for all patients.
Join us as we put healthcare on a better path!!
Job Description
Guidehealth's Data Science team plays a pivotal role in supporting Value-Based Care performance and operations through data analytics and informatics. The Data Scientist develops and communicates analyses of ongoing operations to advance Clinical, Quality, and Coding and Documentation Improvement (CDI) performance goals.
This role sits at the intersection of clinical intelligence and quantitative analysis. The ideal candidate combines hands-on clinical data experience with strong statistical, programming, and machine learning skills, and translates fluently between clinical and technical stakeholders. Candidates must demonstrate depth on both sides: an understanding of how care is delivered, documented, and coded, and the technical ability to turn complex healthcare data into rigorous, actionable analyses.
Responsibilities
  • Partner with Clinical, Quality, and CDI teams to understand operational goals and business objectives, and identify where data science can support them.
  • Perform statistical and machine learning analyses of clinical, claims, and other healthcare data, employing causal inference, predictive modeling, risk stratification, time-series analysis, and data visualization.
  • Apply clinical intelligence and relevant literature throughout the analytic process, validating that cohort definitions, code sets, and model features accurately reflect real-world clinical practice and documentation patterns.
  • Develop and maintain SQL and Python code for replicable analyses and production data pipelines.
  • Communicate analytic results to technical and non-technical stakeholders through clear visualizations, presentations, and written summaries.
  • Perform data QA and validation activities, including scripted and manual checks for data format, completeness, and accuracy.

Qualifications
  • Bachelor's degree in a quantitative or technical field such as Data Science, Statistics, Biostatistics, Epidemiology, Health Informatics, Computer Science, or equivalent experience.
  • 2+ years of experience applying data science, statistics, or advanced analytics to healthcare data (clinical, claims, or EHR) in a research, clinical, or business setting.
  • Working knowledge of clinical workflows and terminology, including familiarity with clinical vocabularies and coding systems (e.g., CPT, ICD-10-CM, SNOMED CT, RxNorm, LOINC, NPI).
  • Understanding of healthcare operations such as care management, risk adjustment, quality improvement, revenue cycle, prior authorization, and value-based care.
  • Proficiency in SQL and Python for data querying, analysis, and pipeline development, with working knowledge of Bash for script execution.
  • Solid grounding in applied statistics, including hypothesis testing, regression, model evaluation, and causal inference concepts.
  • Experience with data integration and ETL work, including data normalization and processing, SFTP, and API connections.
  • Experience using Git-based source control (e.g., GitHub) throughout a software development lifecycle for production code.
  • Experience with data QA and validation processes.
  • Familiarity with at least one major cloud platform (AWS, GCP, or Azure).
  • Strong communication and presentation skills for interfacing with both clinical and technical audiences.

Preferred Qualifications
  • 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 experience in a clinical care, clinical informatics, or CDI setting or degree, licensure, or certification in nursing, pharmacy, medicine, public health, or a related clinical field
  • Experience with AWS services such as S3, Lambda, and Step Functions.
  • Familiarity with the Arcadia Analytics Foundry database.
  • Proficiency with cross-team project tracking and documentation tools such as Jira and Confluence.

Additional Information
The salary range for this position is $105,000.00
ALIVE with Purpose: How We Thrive at Guidehealth
At Guidehealth, our values come to life in everything we do.
  • We are Driven by Accountability - grounded in transparency, reliability, and integrity as we navigate challenges and opportunities alike.
  • Always Growing, Always Learning - staying curious and continuously improving inspires us to shape a better future for healthcare.
  • With Collaborative Innovation, we solve problems creatively, making every experience better for our employees and the patients we serve.
  • At Guidehealth, Every Voice Matters - we believe our collective strength is rooted in the unique perspectives of each team member.
  • And through Empathy in Action, we build stronger connections with those who count on us.
  • This is what it means to be ALIVE with purpose. This is how we thrive - together - at Guidehealth.

BENEFITS:
While you are hard at work advancing value-based healthcare, we are here to ensure YOU have the care you and your family need and the opportunities for growth and development. Our commitments to you include:
  • Work from Home: Guidehealth is a fully remote company, providing you the flexibility to spend less time commuting and more time focusing on your professional goals and personal needs.
  • Keep Health a Priority: We offer comprehensive Medical, Dental, and Vision plans to keep you covered.
  • Plan for the Future: Our 401(k) plan includes a 3% employer match to your 6% contribution.
  • Have Peace of Mind: We provide Life and Disability insurance for those "just in case" moments. Additionally, we offer voluntary Life options to keep you and your loved ones protected.
  • Feel Supported When You Need It Most: Our Employee Assistance Program (EAP) is here to help you through tough times.
  • Take Time for Yourself: We offer paid time off plans helping you achieve work-life balance and meet your personal goals.
  • Support Your New Family: Welcoming a new family member takes time and commitment. Guidehealth offers paid parental leave to give you the time you need.
  • Learn and Grow: Your professional growth is important to us. Guidehealth offers various resources dedicated to your learning and development to advance your career with us.

All full-time employees of Guidehealth who work 30 hours per week or more are eligible for our comprehensive benefits package. Temporary employees and contractors are not eligible for benefits.
COMPENSATION:
The listed compensation range listed is paid bi-weekly per our standard payroll practices. Final base pay decisions are dependent upon a variety of factors which may include, but are not limited to: skill set, years of relevant experience, education, location, and licensure/certifications.
OUR COMMITMENT TO EQUAL OPPORTUNITY EMPLOYMENT
Diversity, inclusion, and belonging are at the core of Guidehealth's values. We are an equal opportunity employer. We enthusiastically accept our responsibility to make employment decisions without regard to race, religious creed, color, age, sex, sexual orientation and identity, national origin, citizenship, religion, marital status, familial status, physical, sensory, or medical disability, Family and Medical Leave, military or veteran status, pregnancy, childbirth or other related medical conditions, or any other classification protected by federal, state, and local laws and ordinances. Our management is fully dedicated to ensuring the fulfillment of this policy with respect to hiring, placement, promotion, transfer, demotion, layoff, termination, recruitment advertising, pay, and other forms of compensation, training, and general treatment during employment.
OUR COMITTMENT TO PROTECTION OF PATIENT AND COMPANY DATA
This position is responsible for following all Security policies and procedures in order to protect all PHI and PII under Guidehealth's custodianship as well as Guidehealth Intellectual Properties. For any security-specific roles, the responsibilities would be further defined by the hiring manager.
As a remote-first organization handling sensitive healthcare data, Guidehealth verifies candidate identity at multiple stages of the hiring and onboarding to safeguard patient privacy, data security, and compliance requirements.
REMOTE WORK TECHNICAL REQUIREMENTS
Guidehealth is a fully remote company. We provide new employees with the necessary equipment to function in their role at no charge to the employee. Employees provide their own internet connection, capable of conducting video calls on camera and connecting to various internal and external systems. The required internet speed is a minimum of 100 mbps download, 10 mbps upload. Please run a speed test here to confirm your internet connection meets these requirements.
SECONDARY EMPLOYMENT
At Guidehealth, we value transparency and collaboration as part of our commitment to excellence. As your primary employer, we kindly ask all team members to disclose any secondary employment, regardless of whether it may present a potential conflict of interest.
To ensure smooth teamwork and availability, employees must be accessible during our stated working hours. We foster connection and engagement by asking team members to join virtual meetings with their cameras on.