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Entry Level Data Science Certificate Jobs (NOW HIRING)

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

We have multiple openings for early-career Data Science Engineers to join a team applying machine ... certifications, experience, skills, seniority, geographic location, performance, and business or ...

UM Job Function: Data and Analytics Job Subfunction: Data Science and AI TheData ... Certifications in any of the following: Meta(Blueprint), SQL, Python, R (online) * Expert-level ...

Qualifications (Education, Experience, Certifications & KSA) * Currently enrolled in an undergraduate program as a rising Junior or Senior, pursuing a degree in Data Science, Analytics, Statistics ...

data science engineer

Alpharetta, GA · On-site

$108K - $130K/yr

The ideal candidate will collaborate with data analysts, data scientists, and software engineers to ... certifications are a plus Company : OVA is the most advanced Automated, Intelligent, intuitive ...

You'll work closely with product managers, other data scientists, engineers, and business analysts ... ExperienceLicenses & Certifications Equal Opportunity Employer This employer is required to notify ...

The Data Science and AI Academy's goal is to network and catalyze data science across all three ... Preferred Qualifications N/A Required License(s) or Certification(s) N/A Valid NC Driver's License ...

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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 Sep 7, 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.

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 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 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.

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 can I do with an entry level data science certificate?

An entry level data science certificate prepares individuals for roles such as data analyst or junior data scientist, involving tasks like data cleaning, analysis, and visualization using tools like Excel, SQL, and Python. It can help you gain foundational skills to enter data-driven environments and pursue further certifications or experience for career advancement.
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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 August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $40,504 per year, or $19.5 per hour.

Data Scientist (Remote)

Inspira Financial

Oak Brook, IL • Remote

Full-time

Re-posted 28 days ago


Inspira Financial rating

7.8

Company rating: 7.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz


Job description

The Data Scientist will report to the Director, Data Science & Analytics in the CDB Strategy Department. This role is responsible for participating in team building business intelligence through the creation of business insights using mathematical, statistical and scientific frameworks. This includes but is not limited to: developing, testing and validating modeling approaches, and creating and developing long term tools to continually evolve business capabilities.
Use strong programming skills to explore, examine, and interpret large volumes of both structured and unstructured data.
Build predictive models to investigate problems, detect patterns and recommend solutions
Develops and participates in presentation to internal stakeholders on analytic results and solutions
Provide insights to the business to enable data driven decision making
Other duties as assigned
Years of Experience: 1-3 years of experience in Data Science, Statistics, or other Mathematics

Degree: Bachelor's Degree in Statistics, Mathematics, Computer Science, Engineering, Data Science . Certification: N/A . Skills & Abilities: Excellent analytical skills with a proactive nature
Strong organization skills with a drive to meet deadlines
An affinity for accuracy and efficiency
Proficiency in Microsoft Excel, Word (including mail merge) and Outlook
Strong verbal and written communication skills
An aptitude for prioritization and multi-tasking
Strong collaboration skills
A drive to learn and apply new concepts quickly
Experience with Salesforce CRM preferred
.


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