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

... GenAI Data Scientist - Manager, you will play a pivotal role in transforming raw data into ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Engineer I

Atlanta, GA ยท On-site

... Life Sciences, Mission Critical, Metals & Mining, Warehousing & Distribution, and CPG/Food ... As an Entry-Level Data Center Engineer, you'll support the design, implementation, and ...

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full-time positions ...

Data Protection Sr. Analyst

Atlanta, GA ยท Hybrid

$84K - $100K/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.

Building trusted relationships with our network of engineering and sciences consultants under our ... data) * Performance-based incentives * Quarterly bonuses * All-expenses-paid annual trip for top ...

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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 Jun 20, 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 does an Entry Level Data Scientist do?

An Entry Level Data Scientist helps organizations analyze and interpret large sets of data to solve business problems. They typically assist with data cleaning, exploratory data analysis, and building simple machine learning models under the supervision of more experienced data scientists. Their work often involves using programming languages like Python or R, and tools such as SQL and data visualization software. Entry level data scientists also collaborate with other team members to communicate findings and support data-driven decision-making.

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.

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 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:
Data Scientist/software Engineer - Junior (Remote)

Data Scientist/software Engineer - Junior (Remote)

SynergisticIT

Atlanta, GA โ€ข On-site, Remote

Other

Posted 17 days ago


Job description

Failing Interviews or No Interviews or no Offers ? Get Hired with a Process ! Rejections can be discouraging, but they donโ€™t reflect your true potential โ€” they reflect your preparation.

Employers want handsโ€‘on experience, real projects, and interviewโ€‘ready candidates. SynergisticIT fills the gap between classroom learning and realโ€‘world hiring expectations. If youโ€™re getting interviews but not offers, youโ€™re closer than you thinkโ€”and thatโ€™s the most frustrating stage to be in.

Youโ€™ve already proven youโ€™re employable enough to get screened, but something breaks during technical rounds: data structures, problem-solving, system design, project explanations, or even the way you communicate tradeoffs. Most candidates donโ€™t fail because theyโ€™re โ€œnot smart.โ€ They fail because they prepared the wrong wayโ€”watching tutorials on youtube, doing coursework on udemy/Courserra, building shallow projects, or memorizing answers without mastering fundamentals. SynergisticITโ€™s approach is built for this exact scenario.

Since 2010, SynergisticIT has helped candidates move from โ€œalmostโ€ to โ€œoffer,โ€ with our candidates landing salaries typically ranging from $90,000 to $154,000 depending on role and stack. Candidates have received offers from employers such as Apple, Google, PayPal, Visa, Wells Fargo, Intel, Citi, JPMC, Walmart Labs, AutoZone, Deloitte, Bank of America, and more. SynergisticIT works with clients hiring for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts, data engineers, data scientists, and machine learning engineers.

The focus is on high-demand tracks: Java / Full Stack / DevOps and Data (Analytics/Engineering/Science) + Machine Learning/AI. Interview success improves when you can demonstrate not only coding ability, but also the โ€œend-to-endโ€ thinking employers want: APIs, backend design, database decisions, cloud deployment, CI/CD, and real project narratives. 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?

Ideal candidates for interview-focused support include: recent grads with limited experience, candidates stuck after multiple interviews, professionals returning after layoffs, candidates with career gaps. SynergisticIT also supports the candidate journey by assisting with STEM extension and providing process support for H-1B/green card filing through employment partners (actual filing depends on the employer). Explore resources and get started on your Journey to get Hired: Event videos (OCW, JavaOne, Gartner): USA Today feature Discover JOPP: Job Placement Program Contact: https://www.synergisticit.com/contact-us/ If youโ€™re tired of being โ€œfinal roundโ€ without the offer, stop guessing and start preparing with a plan.

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. Please unsubscribe if contacted or if you donโ€™t want to be contacted please donโ€™t submit your resume.