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Entry Level Data Science Certificate Jobs (NOW HIRING)

The Hollister Group

Data Scientist - NYC

Boston, MA · On-site

$100 - $200/hr

Experience with machine learning or adjacent fields (natural language processing, random forests, linear regression, predictive modeling, and entry-level data science concepts) * Experience writing ...

CCS Global Tech

Entry Level Data/AI Engineer

San Diego, CA · On-site

$121K - $146K/yr

Entry-Level Data & AI Consultant CCS Global Tech is a Microsoft Solutions Partner and technology ... Bachelor's or Master's degree in Computer Science, Business Analytics, Mathematics, Computer ...

New

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 ...

Noblesoft Solutions

Data Scientist

Jacksonville, FL

As a certified Oracle Gold partner, Noblesoft helps our enterprise customers solve their business ... This is an entry level Data Scientist Role for a person who is self motivated and has a passion to ...

Noblesoft Solutions

Data Scientist

Jacksonville, FL · On-site

As a certified Oracle Gold partner, Noblesoft helps our enterprise customers solve their business ... This is an entry level Data Scientist Role for a person who is self motivated and has a passion to ...

Ikigai

Data Scientist

Cambridge, MA · On-site

They are seeking an Entry Level Data Scientist who will collaborate with clients to prepare and transform their data, build pipelines and dashboards, and support the end-to-end implementation of ...

SynergisticIT

Python Developer (Entry Level)

$51.50 - $71/hr

Data Scientist Opportunity At SynergisticIT, we aim to bring aboard IT professionals to help them ... Currently, we are looking for qualified entry-level Data Scientists who can apply Data Science ...

SynergisticIT

Entry Level Python Developer

Arlington, VA · On-site

$58 - $79.75/hr

Data Scientist Opportunity At SynergisticIT, we aim to bring aboard IT professionals to help them ... Currently, we are looking for qualified entry-level Data Scientists who can apply Data Science ...

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Entry Level Data Science Certificate information

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

As of Jul 3, 2026, the average hourly pay for entry level data science certificate 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.

Is a certificate in data science worth IT?

A certificate in data science can be valuable for entry-level data science roles by demonstrating foundational skills in programming, statistics, and data analysis tools like Python or R. It can help improve job prospects and provide a structured learning path, but practical experience and a strong portfolio are also important for career advancement.

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

AspectEntry Level Data Science CertificateData Analyst
Required CredentialsCertificate programs, basic programming, statisticsDegree in data-related field, some certifications
Work EnvironmentTraining programs, entry-level roles, data teamsBusiness, finance, healthcare, government
Employer & Industry UsageEmployers seeking foundational data skillsOrganizations analyzing data for decision-making

The Entry Level Data Science Certificate provides foundational skills in data analysis, programming, and statistics, preparing individuals for entry-level roles. Data Analysts typically have a degree and apply these skills in various industries to interpret data and support business decisions. While both roles involve working with data, the certificate is a stepping stone, whereas Data Analysts are often fully employed professionals with broader responsibilities.

What jobs can I get with a certificate in data science?

With an entry-level data science certificate, common roles include data analyst, junior data scientist, or business intelligence analyst. These positions typically require skills in programming languages like Python or R, data visualization tools, and basic statistical knowledge, often involving working with datasets to generate insights and support decision-making.

What types of projects or tasks can I expect to work on as an entry-level data scientist after earning a certificate?

As an entry-level data scientist, you’ll typically support more senior team members by cleaning and organizing data, performing exploratory data analysis, and building basic predictive models. You may also help visualize data trends and prepare reports for non-technical stakeholders. Collaborating closely with data engineers, analysts, and business teams, you’ll gain hands-on experience with real-world datasets, learn to communicate findings effectively, and gradually take on more complex analytical tasks as your skills grow.

What is an Entry Level Data Science Certificate?

An Entry Level Data Science Certificate is a credential that demonstrates foundational knowledge and skills in data science. It typically covers core topics such as data analysis, statistics, programming (often in Python or R), and basic machine learning concepts. These certificates are designed for individuals new to the field and can help them qualify for junior roles or internships in data science. Completing such a program can also enhance a resume and provide a stepping stone toward more advanced study or professional certifications.

What are the key skills and qualifications needed to thrive as an entry-level data scientist, and why are they important?

To thrive as an entry-level data scientist, you need a solid understanding of statistics, data analysis, programming (usually in Python or R), and often a relevant degree or data science certificate. Familiarity with data visualization tools (such as Tableau or Power BI), machine learning libraries (like scikit-learn or TensorFlow), and SQL databases is typically required. Strong problem-solving abilities, curiosity, and effective communication skills help you translate complex data insights into actionable business strategies. These skills and qualities are crucial for analyzing data accurately, communicating findings clearly, and making a tangible impact in data-driven organizations.

Is 40 too late for data science?

Entry level data science certificates are accessible to individuals of any age, including those starting at 40 or older. Success in data science depends more on skills, such as programming, statistics, and tools like Python or R, than on age, and many professionals transition into the field later in life through certifications and self-study.

Can I get a data scientist job with no experience?

Entry-level data scientist roles often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools. While prior experience is preferred, completing a data science certificate can help demonstrate skills and improve chances of securing an entry-level position, especially if supplemented with projects or internships.
More about Entry Level Data Science Certificate jobs
What are the most commonly searched types of Data Science Certificate jobs? The most popular types of Data Science Certificate jobs are:
What job categories do people searching Entry Level Data Science Certificate jobs look for? The top searched job categories for Entry Level Data Science Certificate jobs are:
Entry Level Data Science Certificate jobs near you
Infographic showing various Entry Level Data Science Certificate job openings in the United States as of June 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $40,504 per year, or $19.5 per hour.
Data Scientist - NYC

Data Scientist - NYC

The Hollister Group

Boston, MA • On-site

$100 - $200/hr

Contractor

Posted 26 days ago

Job description

Our client is seeking a talented Data Scientist to join their team as an independent remote employee. Our team brings data science and machine learning to the private equity investment process, providing unparalleled access to alternative data sources and proprietary data from portfolio companies. You'll be at the forefront of high-value tactical workflows that drive all aspects of the investment process. As a Data Scientist with our client, you'll have the opportunity to own due diligence processes, source efforts, or portfolio support initiatives, with your work influencing billions of dollars in investment decisions. You'll work in a collaborative, fast-moving team in close collaboration with experienced professionals passionate about AI/ML and its impact on the private equity space.
Compensation:
Pay Range: $100-$200/hr, depending on experience and scope.
Note: We encourage qualified applicants to apply even if their compensation expectations differ, as we value technical expertise and culture fit.
Responsibilities:
  • Develop predictive models and proprietary analytics from large datasets using advanced queries, filters, and data visualization tools
  • Create valuable insights from datasets directly with stakeholders
  • Architect and manage analytical projects from ideation to launch
  • Leverage alternative data sets to algorithmically determine the best investments for our clients
  • Conduct competitive analysis to determine the soundness of investments using all relevant data sources
  • Use ground-truth data from portfolio companies to improve business outcomes (automated lead generation/enrichment, forecast and churn modeling, etc.)
Requirements:
  • Bachelor's degree or concentration in a highly quantitative or relevant data science field (Computer Science, Statistics, Mathematics, Finance, etc.) or equivalent professional experience
  • Experience with machine learning or adjacent fields (natural language processing, random forests, linear regression, predictive modeling, and entry-level data science concepts)
  • Experience writing code in Python
  • Experience handling terabyte-sized datasets, discovering hidden patterns, and working with managers to develop models
  • Excitement for the venture capital and private equity space and the opportunity to make analytical and data-driven decisions
  • Location: This role requires 3 days per week in our clients office in NYC.

Our Commitment to Inclusion & Belonging
The Hollister Group is an equal opportunity employer. We welcome and encourage applications from people who are under-represented in their respective occupation or position.
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