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Entry Level Data Science Certificate Jobs (NOW HIRING)

Data Scientist - NYC

Boston, MA · On-site +1

$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 ...

Data Scientist - NYC

Newton, MA · On-site +1

$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 ...

Data Scientist - NYC

Cambridge, MA · On-site +1

$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 ...

Data Scientist - NYC

Bedford, MA · On-site +1

$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 ...

Data Scientist - NYC

Quincy, MA · On-site +1

$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 ...

Data Scientist - NYC

Lynn, MA · On-site +1

$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 ...

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 ...

Entry-Level Data Analyst -- Start Your Career in Data With Practical Skills Data analyst roles are ... A degree or certificate may help, but it is often not enough by itself. SynergisticIT is looking ...

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 ...

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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 26, 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 cities are hiring for Entry Level Data Science Certificate jobs? Cities with the most Entry Level Data Science Certificate job openings:
What are the most commonly searched types of Data Science Certificate jobs? The most popular types of Data Science Certificate jobs are:
Infographic showing various Entry Level Data Science Certificate job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $40,504 per year, or $19.5 per hour.
Entry Level Python Programmer/Data Scientist/Analyst

Entry Level Python Programmer/Data Scientist/Analyst

SynergisticIT

Arlington, VA • On-site

Other

Posted 22 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 check below links: Event videos (OCW, JavaOne, Gartner): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Client JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ 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/ 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.