ZipRecruiter

Log In

2

Entry Level Data Science Jobs in Baton Rouge, LA

SynergisticIT

Java/C++ Developer

Baton Rouge, LA · On-site

Open Roles We're Hiring For our clients: * Entry-Level Software Programmers (Java/Python) * Java Full Stack Developers * Data Analysts & BI Engineers * Data Scientists & ML Engineers All visa types ...

State of Louisiana

RESEARCH ASSISTANT

Baton Rouge, LA

$45K - $65K/yr

As Louisiana's premier center for marine and coastal research, education, and scientific innovation ... Proficiency in statistical analysis and data management, with experience using R or similar ...

State of Louisiana

RESEARCH ASSISTANT

Baton Rouge, LA · On-site

$45K - $65K/yr

As Louisiana's premier center for marine and coastal research, education, and scientific innovation ... Proficiency in statistical analysis and data management, with experience using R or similar ...

All JobsEntry Level Data Science JobsEntry Level Data Science Jobs in Baton Rouge, LA

Entry Level Data Science information

See Baton Rouge, LA salary details

$10

$18

$25

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

As of Jul 5, 2026, the average hourly pay for entry level data science in Baton Rouge, LA is $18.30, according to ZipRecruiter salary data. Most workers in this role earn between $15.48 and $20.53 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 Baton Rouge, LA? The most popular types of Data Science jobs in Baton Rouge, LA are:
What are popular job titles related to Entry Level Data Science jobs in Baton Rouge, LA? For Entry Level Data Science jobs in Baton Rouge, LA, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in Baton Rouge, LA look for? The top searched job categories for Entry Level Data Science jobs in Baton Rouge, LA are:
What cities near Baton Rouge, LA are hiring for Entry Level Data Science jobs? Cities near Baton Rouge, LA 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 Baton Rouge, LA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $38,054 per year, or $18.3 per hour.
Java/C++ Developer

Java/C++ Developer

SynergisticIT

Baton Rouge, LA • On-site

Other

Posted yesterday

Job description

Break Into Tech with Confidence

Since 2010, SynergisticIT has helped thousands of job seekers move into high-growth roles at companies like Apple, Google, PayPal, Visa, Client, and Walmart Labs. 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. Why Career Changers Thrive with Us 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 We don't believe in one-size-fits-all. We work on:

  • Java Full Stack Development –Core Java, Spring Boot, REST APIs, Microservices, Git, and AWS
  • DevOps and Cloud Engineering –CI/CD, Docker, Jenkins, Kubernetes, Infrastructure-as-Code, and cloud platforms
  • Data Science and AI –Python, machine learning, NLP, model deployment, and tools like TensorFlow and SageMaker
  • Data Analytics and Engineering –SQL, Power BI, Tableau, Snowflake, Databricks, Python ETL, and more

We focus on employer needs so not only skills, but the projects and certifications that hiring managers want to see. Real Outcomes, Real Results We're proud of our candidates who went from:

  • QA Analyst → Java Developer
  • Business Analyst → Data Scientist at a FinTech startup
  • Project Manager → DevOps Engineer at a cloud-native company

Explore their journeys: See our candidate success stories No CS Degree? No Problem. We welcome candidates from all educational and career backgrounds, including those with career gaps or visa sponsorship needs. We even assist with STEM OPT extensions, H-1B filing, and Green Card processing.

Open Roles We're Hiring For our clients:

  • Entry-Level Software Programmers (Java/Python)
  • Java Full Stack Developers
  • Data Analysts & BI Engineers
  • Data Scientists & ML Engineers

All visa types and U.S. citizens are encouraged to apply. Ideal Candidates:

  • Recent grads in CS, Engineering, Math, or Statistics
  • 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

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. Explore us at SynergisticIT.com

Apply