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Entry Level Data Science Jobs in Ladson, SC (NOW HIRING)

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Entry Level Data Science information

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$9

$17

$25

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

As of Jun 17, 2026, the average hourly pay for entry level data science in Ladson, SC is $17.91, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $20.10 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 cities near Ladson, SC are hiring for Entry Level Data Science jobs? Cities near Ladson, SC with the most Entry Level Data Science job openings:
Entry Level Data Science jobs near you

Entry-Level PeopleSoft Software Developer with Security Clearance

SOSi

Charleston, SC

Other

Posted 14 days ago

Job description

Company Description Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide. Job Description SOSI is seeking a motivated Entry-Level PeopleSoft Software Developer to join our team. This role is ideal for recent graduates or individuals looking to start a career in PeopleSoft development. The candidate will assist in designing, developing, and maintaining PeopleSoft applications, supporting business operations, and troubleshooting issues under the guidance of senior developers located in Charleston, SC. Essential Job Duties * Assist in the development, testing, and deployment of PeopleSoft applications.
  • Work with PeopleTools (Application Designer, PeopleCode, Application Engine, Component Interface, Integration Broker, etc.).
  • Modify and maintain PeopleSoft modules (HCM, Time and Labor, North America Payroll.) based on business requirements.
  • Develop and execute SQL queries to analyze and troubleshoot data-related issues.
  • Participate in application upgrades and patching activities.
  • Assist in the creation of technical documentation and user guides.
  • Work closely with functional teams to understand business needs and implement solutions.
  • Debug and fix issues using PeopleSoft debugging tools.
Support integrations between PeopleSoft and other third-party systems. Qualifications Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).
  • Able to obtain and retain an interim Secret clearance which requires US citizenship.
  • Basic knowledge of SQL, Java, or another programming language.
  • Familiarity with relational databases (Oracle, SQL Server, etc.).
  • Understanding of software development concepts.
  • Strong problem-solving and analytical skills.
Willingness to learn PeopleSoft development tools. Additional Information Work Environment/Working at SOSi Working conditions are normal for an office environment with 5 days in the office at a secured government facility.
  • Fast paced, deadline-oriented environment.
All interested individuals will receive consideration and will not be discriminated against for any reason.

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