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Entry Level Data Scientist Jobs in Decatur, GA (NOW HIRING)

Data Protection Sr. Analyst

Atlanta, GA · Hybrid

$84.80K - $100.70K/yr

Degree in Information Technology, Cybersecurity, Computer Science, or related field (or equivalent ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Data Scientist information

See Decatur, GA salary details

$44.9K

$161.1K

$237.7K

How much do entry level data scientist jobs pay per year?

As of May 30, 2026, the average yearly pay for entry level data scientist in Decatur, GA is $161,113.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,300.00 and $166,000.00 per year, depending on experience, location, and employer.

What Does an Entry Level Data Scientist Do?

An entry-level data scientist works to examine, interpret, and collect large sets of data. In this role, your responsibilities include extracting and processing information to find patterns and trends, using technology to analyze data, and creating a machine-learning algorithm or predictive model for data analysis. Other duties include proposing strategies and solutions based on the information you derived from a data set, using ensemble modeling to combine models, automating processes to collect data, discovering valuable data sources, and using data visualization techniques to present information. You often collaborate with product development and engineering teams.

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 solid foundation in statistics, programming (typically Python or R), and data analysis, often supported by a degree in a quantitative field such as mathematics, computer science, or engineering. Familiarity with tools like SQL, Jupyter Notebooks, and machine learning libraries (e.g., scikit-learn, TensorFlow) is commonly expected. Strong problem-solving skills, curiosity, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These abilities enable you to extract actionable insights from data, support business decisions, and contribute value to data-driven organizations.

What are some typical challenges faced by entry level data scientists in their first year on the job?

Entry level data scientists often encounter challenges such as working with messy or incomplete datasets, adapting to unfamiliar data tools and company-specific processes, and translating business problems into actionable data analyses. They may also find it challenging to communicate technical findings to non-technical stakeholders and to prioritize projects in a fast-paced environment. Building strong relationships with colleagues in engineering, business, and analytics teams is key to overcoming these challenges and accelerating learning.

How to get a data science job with no experience?

Entry level data scientist roles often require strong foundational skills in programming (Python or R), statistics, and data manipulation. Gaining experience through online courses, personal projects, internships, or certifications like those from Coursera or edX can improve your chances; building a portfolio with real-world datasets is also beneficial.

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

AspectEntry Level Data ScientistData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Business, Statistics, or related field; strong Excel, SQL, and visualization skills
Work EnvironmentCollaborates with data science teams, uses programming languages like Python or R, focuses on predictive modelingWorks with business teams, uses SQL, Excel, and BI tools, focuses on reporting and data visualization
Employer & Industry UsageTech companies, finance, healthcare, startupsRetail, marketing, finance, healthcare, government

Entry Level Data Scientists and Data Analysts often share foundational skills like SQL and data visualization. However, data scientists typically focus on building predictive models and machine learning algorithms, requiring programming knowledge, while data analysts concentrate on interpreting data through reports and dashboards. Both roles are essential in data-driven organizations but differ in technical depth and project scope.

What are the most commonly searched types of Data Scientist jobs in Decatur, GA? The most popular types of Data Scientist jobs in Decatur, GA are:
What are popular job titles related to Entry Level Data Scientist jobs in Decatur, GA? For Entry Level Data Scientist jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Scientist jobs in Decatur, GA look for? The top searched job categories for Entry Level Data Scientist jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Entry Level Data Scientist jobs? Cities near Decatur, GA with the most Entry Level Data Scientist job openings:
Infographic showing various Entry Level Data Scientist job openings in Decatur, GA as of May 2026, with employment types broken down into 2% As Needed, and 98% Full Time. Highlights an 50% Physical, and 50% Remote job distribution, with an average salary of $161,113 per year, or $77.5 per hour.
ENtry level data scientist/Junior ML/AI engineer

ENtry level data scientist/Junior ML/AI engineer

SynergisticIT

Atlanta, GA

Other

Posted 9 days ago


Job description

Job Search Feeling Like Guesswork? Applied to 500+ Jobs and Still No Interviews? No Interviews or Offers?

Get Hired with a Process! Many job seekers assume the tech market has shut down, but the truth is companies are still hiring — they’re just being more selective. That means only the most prepared, polished, and employer‑ready candidates get through.If you’ve sent out hundreds—maybe thousands—of applications and your inbox is still silent, it doesn’t mean you’re not capable.

It usually means your profile isn’t lining up with how companies filter, shortlist, and interview candidates right now. In today’s market, employers expect more than a degree or a few tutorial projects. They want candidates who look job-ready on paper, sound confident in interviews, and demonstrate hands-on ability in the tools teams actually use.

That’s exactly what SynergisticIT solves—because the real challenge isn’t learning in isolation. The real challenge is translating learning into interviews and offers. Since 2010, SynergisticIT has helped thousands of candidates secure full-time roles with leading companies and recognizable brands—think Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Walmart Labs, Citi, JPMC, Bank of America, Wayfair, and many more—often in the $95k to $154k offer range depending on role, location, and skillset.

The purpose of SynergisticIT is simple: close the gap between what you know and what employers expect you to prove. Here’s the truth employers hire based on whether you can handle real work—clean coding, debugging, teamwork workflows, version control, APIs, cloud basics, deployment pipelines, and the ability to explain what you did. That’s why SynergisticIT emphasizes structured skill-building, project depth, resume positioning, interview readiness, and support through the job-search process.

What roles are in demand right now? A lot of jobseekers assume they must become “AI experts” overnight. Not true.

Many companies are actively hiring professionals in core roles that run modern software teams. In JOPP, the demand typically includes roles such as entry-level software programmer, Java full stack developer, Python/Java developer, data analyst, data engineer, data scientist, and machine learning/AI engineer. In other words, SynergisticIT focuses on building candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI based on what employers repeatedly request.

Who benefits most from this model? If you’re applying and not seeing results, you’re likely in one of these situations: You have skills, but your resume doesn’t show impact and your projects look generic You know tools, but you can’t explain them confidently in interviews You’ve learned from courses, but you lack real-world structure and job alignment You’ve built a portfolio, but it doesn’t match what hiring managers evaluate SynergisticIT works especially well for candidates such as: recent grads in CS/Engineering/Math/Stats, jobseekers who were laid off and need an updated stack, career switchers who want a guided plan, candidates with career gaps, people with “learning but not hired” bootcamp history, experienced professionals not landing interviews, and international candidates on F1/OPT needing a clear employment pathway. SynergisticIT also supports candidates with guidance around STEM extension, and provides process support for H-1B and Green Card filing once employed (as applicable through employers and standard processes).

If you want to explore here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Discover JOPP: Job Placement Program Contact Us https://www.synergisticit.com/contact-us/ You don’t need more random applications. You need a job-ready plan. Start smarter—start with the right support.

Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also.

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