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Entry Level Data Science information

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

As of Jun 27, 2026, the average hourly pay for entry level data science in Missouri is $17.87, according to ZipRecruiter salary data. Most workers in this role earn between $15.10 and $20.05 per hour, depending on experience, location, and employer.

Are there entry-level data science roles?

Yes, entry-level data science roles are available and typically require foundational skills in programming, statistics, and data analysis, often using tools like Python or R. These positions are suitable for recent graduates or those transitioning into data science and may involve internships or junior analyst roles to build experience.

Is 40 too late for data science?

Entry level data science roles are open to candidates of all ages, including those starting a career at 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.

What are entry level data science jobs?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

How do I become a data scientist with no experience?

To become an entry-level data scientist with no experience, focus on building foundational skills in programming (Python or R), statistics, and data analysis through online courses and tutorials. Gaining practical experience by working on personal projects, participating in competitions like Kaggle, and learning tools such as SQL and machine learning libraries can help demonstrate your abilities to employers.

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

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

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 strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

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

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

Can I get a data scientist job with no experience?

Entry-level data science positions often require some knowledge of programming, statistics, and data analysis tools like Python or R. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or internships can improve your chances of securing such roles.
What are the most commonly searched types of Data Science jobs in Missouri? The most popular types of Data Science jobs in Missouri are:
What are popular job titles related to Entry Level Data Science jobs in Missouri? For Entry Level Data Science jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in Missouri look for? The top searched job categories for Entry Level Data Science jobs in Missouri are:
What cities in Missouri are hiring for Entry Level Data Science jobs? Cities in Missouri with the most Entry Level Data Science job openings:
Entry Level Data Science jobs near you
Junior java programmer/Data Scientist

Junior java programmer/Data Scientist

SynergisticIT

Columbia, MO • On-site

$63K - $82K/yr

Other

Posted 24 days ago

Job description

Break Into Tech with Confidence and Assurance
Since 2010, we've 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's JOPP focuses on closing the gap between your tech skills and what employers want now.
We've seen firsthand that career changers with the right support can outshine even traditional CS grads-because they bring both technical skills and business perspective to the table.
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.
The numbers say it all: Synergisticit JOPP grads get salaries ranging anywhere from $90,000 per annum to $154,000 based on the roles and the technologies they are skilled on. Where?: Apple, Google, Walmart Labs, Ford Motors, Client, Visa, Wells Fargo, Client, Client, BHN, Banking, Walgreens, Autozone, PayPal, Client, and more.
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
  • Candidates on F1/OPT needing a job for STEM extension or H-1B filing
We assist in filing for STEM extension and also for H1b and Green card filing to Candidates
Please check below links:
  • Job Placement Program
  • Java Job placement Program: Get Hired for Java Full stack Jobs
  • Data Science Job Placement Program: Get hired for data jobs
  • SynergisticIT USA Today Article
  • Videos of Synergisticit At OCW, JAVAONE, GARTNER SUMMIT

  • please read our blogs
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT
The $100k H1B Filing Fee: Implications on U.S. Tech Employment | SynergisticIT
Wage-Based H-1B Filing
Backend vs. Full Stack Development: Job Prospects | SynergisticIT
What Recruiters Look for in Junior Developers | SynergisticIT
Software engineering or Data Science as a career?
How OPT Students Can Land Tech Jobs - SynergisticIT
Is AI Going to Replace Software Programmers? | SynergisticIT
If you're coming from a role in business, QA, or project management, you're already ahead in many ways:
  • You understand team dynamics, stakeholder needs, and business context
  • You've worked with tech teams-and maybe even dabbled in SQL, JIRA, or light coding
  • You know how to solve problems, manage timelines, and think analytically
What you might be missing are the technical building blocks, hands-on tools, and confidence to interview like an engineer. That's exactly where SynergisticIT comes in.
Your Path Into Tech-Mapped and Guided
No CS Degree? No Problem.
The First Step Is Yours
If you're ready to stop watching job postings and start preparing to land one, it's time to connect with us. Whether you need skill enhancement or just job search support, we'll help you become the kind of candidate tech companies are actively hiring.
You don't have to start over-you just have to start smarter.

Apply