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Entry Level Data Science Jobs in Boston, GA (NOW HIRING)

Ubertal Inc

IT Support Technician

Tallahassee, FL · On-site

$20.50 - $28/hr

Role Overview We are seeking an entry-level IT Support Technician to provide Tier I software ... Enter and maintain accurate support data in tracking systems * Assist in debugging and ...

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All JobsEntry Level Data Science JobsEntry Level Data Science Jobs in Boston, GA

Entry Level Data Science information

See Boston, GA salary details

$8

$15

$22

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

As of Jul 4, 2026, the average hourly pay for entry level data science in Boston, GA is $15.63, according to ZipRecruiter salary data. Most workers in this role earn between $13.22 and $17.55 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 cities near Boston, GA are hiring for Entry Level Data Science jobs? Cities near Boston, GA with the most Entry Level Data Science job openings:
Entry Level Data Science jobs near you
Infographic showing various Entry Level Data Science job openings in Boston, GA as of June 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $32,513 per year, or $15.6 per hour.

Web Applications Programmer (Entry Level)

Siritech Solutions Corp

Tallahassee, FL

Full-time

Posted 7 days ago

Job description

Job Description:
Looking for entry-level Web Applications Programmer to support data analysis, reporting, dashboard development, and business process improvement initiatives. The ideal candidate will assist with gathering business requirements, performing data analysis, developing interactive dashboards, supporting system modernization efforts, and maintaining reporting solutions used by internal departments. This role requires strong analytical thinking, attention to detail, communication skills, and the ability to work with multiple data platforms and reporting tools. The candidate will collaborate with stakeholders to support operational and financial management systems while learning modern data integration technologies such as Informatica and Snowflake.

Key Responsibilities:

  • Gather and analyze data to identify business needs and requirements
  • Collaborate with stakeholders to define project scope and functional specifications
  • Design and develop interactive dashboards and reports using Power BI or similar tools
  • Perform data extraction, cleansing, transformation, and integration activities
  • Support ongoing dashboard maintenance and enhancements
  • Assist with documentation of project requirements, workflows, and processes
  • Participate in testing system enhancements and validating results
  • Troubleshoot software issues and escalate complex issues when necessary
  • Maintain automated reports used by OWPB and District offices
  • Support analysis of financial management system issues

Additional Responsibilities:

  • Assist with project risk and issue tracking documentation
  • Learn and apply modernization and data integration practices
  • Enter and maintain accurate support data in tracking systems
  • Support quality improvement initiatives and documentation reviews
  • Communicate with internal users regarding support requests and issue updates
  • Work with tools such as Informatica and Snowflake to support reporting operations

Required Skills:

  • 1 to 3 years of IT experience in systems support or data analysis
  • Experience with Power BI or similar data visualization tools
  • Basic SQL and relational database knowledge
  • Experience with data querying, extraction, cleaning, and transformation
  • Knowledge of Visual Studio and SQL Server Management Studio
  • Strong organizational and communication skills
  • Basic troubleshooting and software support experience
  • Understanding of system testing and validation processes
  • Ability to analyze large datasets and identify trends

Qualifications & Certifications:

  • Associates or Bachelors Degree in Computer Science, Information Systems, or related field preferred
  • Equivalent technical training or work experience accepted
  • Strong customer service and teamwork skills
  • Willingness to learn modern data platforms and technologies