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Entry Level Data Science Jobs in Missouri (NOW HIRING)

Stellar IT Solutions

AWS Data Engineer

Saint Louis, MO · On-site

$108K - $130K/yr

This is an excellent opportunity for entry level candidates and early-career professionals who want ... Bachelor's or Master's degree in Computer Science, Information Technology, Data Science ...

Boeing

Entry Level Manufacturing Engineer

Hazelwood, MO

$71K - $96K/yr

Entry Level Manufacturing Engineer Company: The Boeing Company Boeing Global Services is seeking an ... Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related ...

Boeing

Entry Level Manufacturing Engineer

Hazelwood, MO · On-site

$71K - $96K/yr

Entry Level Manufacturing Engineer Company: The Boeing Company Boeing Global Services is seeking an ... Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related ...

Brewer Science, Inc.

Research Scientist IV

Rolla, MO · On-site

Brewer Science, Inc. is a major innovator of high-technology solutions for the semiconductor ... Process and analyze experimental data using statistical methods and software tools to draw ...

Brewer Science Inc.

Research Scientist IV

Rolla, MO · On-site

Brewer Science, Inc. is a major innovator of high-technology solutions for the semiconductor ... Process and analyze experimental data using statistical methods and software tools to draw ...

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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 Jul 19, 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.

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 languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, working on personal projects, and participating in competitions like Kaggle can demonstrate your abilities and help you gain practical experience. Earning relevant certifications and creating a strong portfolio can improve your chances of entering the field.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Entry level data scientists often focus on identifying the most impactful variables or tasks to optimize model performance and efficiency.

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 languages like Python or R, and familiarity with data analysis tools. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or coursework can improve your chances of securing an entry-level role.
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
AWS Data Engineer

AWS Data Engineer

Stellar IT Solutions

Saint Louis, MO • On-site

$108K - $130K/yr

Other

Posted 16 days ago

Job description

Job Title: AWS Data Engineer
Location: St. Louis, MO (Hybrid)
Job Type: Full-Time
Experience: 0-3 Years


Launch Your Career in Cloud & Data Engineering!
Stellar IT Solutions is seeking motivated and passionate AWS Data Engineers to join our growing team and work on enterprise-level client projects. This is an excellent opportunity for entry level candidates and early-career professionals who want to build expertise in AWS cloud technologies, big data, and modern data engineering.
What You'll Do

  • Design, develop, and maintain scalable data pipelines on AWS.
  • Build and optimize ETL/ELT workflows using cloud-native technologies.
  • Work with AWS services including S3, Glue, Lambda, Redshift, Athena, and CloudWatch.
  • Develop data processing solutions using Python and SQL.
  • Integrate data from multiple sources into cloud-based data platforms.
  • Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
  • Collaborate with cross-functional teams to deliver high-quality data solutions.
  • Follow best practices for data security, governance, and documentation.


Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field.
  • 0-3 years of experience in Data Engineering, Cloud, or Software Development.
  • Strong knowledge of SQL and Python.
  • Basic understanding of AWS Cloud services.
  • Familiarity with ETL concepts and relational databases.
  • Excellent analytical, communication, and problem-solving skills.


Preferred Skills
  • Experience with PySpark or Apache Spark.
  • Knowledge of AWS Glue, Redshift, Lambda, EMR, or Athena.
  • Familiarity with Git and Linux.
  • AWS Cloud certifications are a plus.


Why Join Stellar IT Solutions?
  • Work on real-world enterprise AWS cloud projects.
  • Competitive salary and comprehensive benefits.
  • Professional mentoring and career development.
  • Opportunities to earn AWS certifications.
  • Collaborative and innovative work environment.
  • Clear career growth path with leading U.S. clients.

Apply