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Entry Level Python Data Science Jobs in Atlanta, GA

CRH

Data Scientist

Atlanta, GA · Hybrid

  • Medical

  • Dental

  • Retirement

... data science, analytics, or a related role, with demonstrated delivery of analytical or ML projects * Proficiency in Python and/or R for data analysis and statistical modelling * Experience with ...

Guidehouse

Epidemiologist Data Scientist

Atlanta, GA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Experience in R, Python (including libraries such as Pandas, NumPy, Scikit-learn), and SQL ...

Guidehouse

Data Scientist, Consultant (Utilities)

Atlanta, GA · On-site

$89K - $148K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Data Science Consulting Travel Required: Up to 10% Clearance Required: None What You Will Do * Perform data analysis and develop analytical solutions using tools such as Python, R, Snowflake, SQL ...

Deluxe

Data Scientist

Atlanta, GA

$85K - $90K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... query language(SQL), Python, Pytorch, Pyspark, R, Spark and Scala. In a Cloud Native AWS ... Bachelor's degree in Computer Science, Math, Statistics, Machine Learning, Analytic, Data Science ...

Deluxe Corporation

Data Scientist

Atlanta, GA · On-site

$85K - $90K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... query language(SQL), Python, Pytorch, Pyspark, R, Spark and Scala. In a Cloud Native AWS ... Bachelor's degree in C omputer Science, Math, Statistics, Machine Learning, Analytic, Data Science ...

RELX Group plc

Data Scientist I (DSAP)

Alpharetta, GA · On-site

$59K - $98K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Hold a bachelor's in data science/analytics, Computer Science, Mathematics, or other degrees in fields like Engineering, Economics, and Business. * Coursework or project experience in Python or R ...

LexisNexis

Data Scientist I (DSAP)

Alpharetta, GA · On-site

$59K - $98K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Hold a bachelor's in data science/analytics, Computer Science, Mathematics, or other degrees in fields like Engineering, Economics, and Business. * Coursework or project experience in Python or R ...

RELX

Data Scientist I (DSAP)

Alpharetta, GA · On-site

$59K - $98K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Hold a bachelor's in data science/analytics, Computer Science, Mathematics, or other degrees in fields like Engineering, Economics, and Business. * Coursework or project experience in Python or R ...

LexisNexis

Data Scientist I (DSAP)

Alpharetta, GA · On-site

$59K - $98K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Hold a bachelor's in data science/analytics, Computer Science, Mathematics, or other degrees in fields like Engineering, Economics, and Business. * Coursework or project experience in Python or R ...

Lexisnexis Risk Solutions

Data Scientist I (DSAP)

Alpharetta, GA · On-site

$59K - $98K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Hold a bachelor's in data science/analytics, Computer Science, Mathematics, or other degrees in fields like Engineering, Economics, and Business. * Coursework or project experience in Python or R ...

Truist

Data Scientist I - Card Fraud

Atlanta, GA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Take accountability and ownership of end-to-end data science solution design, technical delivery ... With minimal guidance, write, document, and deploy custom code in a variety of environments (Python ...

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Entry Level Python Data Science information

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

As of Aug 19, 2026, the average hourly pay for entry level python data science in Atlanta, GA is $56.37, according to ZipRecruiter salary data. Most workers in this role earn between $46.44 and $64.04 per hour, depending on experience, location, and employer.

What is an entry level Python data scientist?

An entry level Python data scientist is a professional who uses Python programming language to analyze, interpret, and visualize data, typically in the early stages of their data science career. They are responsible for collecting, cleaning, and preparing data, performing basic statistical analyses, and building simple machine learning models under supervision. These roles often require proficiency in Python libraries like pandas, NumPy, and scikit-learn, as well as good problem-solving skills. Entry level data scientists may work in industries such as finance, healthcare, marketing, or technology to help organizations make data-driven decisions.

What are the key skills and qualifications needed to thrive as an entry level Python data scientist?

To thrive as an Entry Level Python Data Scientist, you need a strong understanding of statistics, data analysis, and proficiency in Python programming, typically supported by a relevant degree or coursework. Familiarity with data science libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and basic SQL is commonly required. Analytical thinking, problem-solving, and effective communication help you interpret data and present findings clearly. These skills ensure you can extract meaningful insights from data, collaborate effectively, and contribute to data-driven decision-making.

What are some common challenges faced by entry level Python data scientists when starting out, and how can they be addressed?

Entry-level Python data scientists often encounter challenges such as managing large datasets, understanding the nuances of real-world data (like missing or inconsistent values), and effectively communicating technical findings to non-technical stakeholders. To address these challenges, it's helpful to develop strong data cleaning skills, practice using libraries like pandas and scikit-learn, and focus on improving data visualization and storytelling abilities. Additionally, seeking feedback from more experienced team members and participating in collaborative projects can accelerate learning and help overcome early hurdles.

What is the difference between Entry Level Python Data Science vs Entry Level Data Analyst?

AspectEntry Level Python Data ScienceEntry Level Data Analyst
Required SkillsPython, SQL, statistics, machine learning basicsExcel, SQL, data visualization, basic statistics
CertificationsPython programming, data science fundamentalsExcel certifications, basic data analysis courses
Work EnvironmentTech companies, startups, data-driven teamsBusiness departments, marketing, finance teams
Common UsageBuilding models, data cleaning, predictive analyticsReporting, data visualization, trend analysis

Entry Level Python Data Science roles focus on programming, machine learning, and predictive modeling, often requiring Python and statistical knowledge. Entry Level Data Analyst positions emphasize data reporting, visualization, and basic analysis using tools like Excel and SQL. Both roles are common in various industries, but Python Data Science roles typically involve more technical and coding skills, while Data Analyst roles focus on interpreting data for business insights.

What are the most commonly searched types of Python Data Science jobs in Atlanta, GA?

The most popular types of Python Data Science jobs in Atlanta, GA are:

What are popular job titles related to Entry Level Python Data Science jobs in Atlanta, GA?

For Entry Level Python Data Science jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Entry Level Python Data Science jobs in Atlanta, GA look for?

The top searched job categories for Entry Level Python Data Science jobs in Atlanta, GA are:

Entry Level Python Data Science jobs near you

Data Scientist, Global Quantitative Research

Intercontinental Exchange Holdings, Inc.

Atlanta, GA

Full-time

Posted 20 days ago

Job description

Overview

Job Purpose

The Data Scientist will join the Quant Group which designs, implements, and supports enterprise quantitative models and systems. The primary role of this position will be to support the design and development of financial data models and provide data support for the Quant and Risk divisions. The role will use a variety of data science, analytics and engineering tools and techniques to solve diverse, data focused problems across the business. The candidate for this job must have the ability to work in a fast-paced environment, formulate and articulate solutions, defend assumptions and be highly detail oriented. This role requires frequent interaction with Quant Research, Risk Managers, Developers and Senior Management.

Responsibilities

  • Perform data exploration and statistical analysis for quantitative research purposes
  • Data preparation, validation, and visualization of various data sets such as time series of financial derivatives
  • Build production quality, data driven software solutions to support data management and analysis
  • Develop ETL applications to support core quant and risk team data requirements
  • Diagnose and profile data issues and recommend ways to improve data reliability, efficiency, and quality
  • Coordinate with quantitative research and business experts to develop and refine data management best practices, policies, and procedures
  • Provide documentations and/or presentations to illustrate methods, techniques, and findings for individuals with diverse professional backgrounds
  • Manage large data sets and interpret diverse database architecture across various platforms such as Oracle, Postgres, Snowflake, etc.
  • Serve as a liaison between technology, operations, product management and the Financial Engineering teams
  • Engage in innovative research tasks in the quantitative finance and data science field

Knowledge and Experience

  • Master's degree in Data Science, Engineering, Mathematics, Statistics or similar field
  • Statistical programming experience required, with strong preference for Python. Experience with R, MATLAB, C/C++ or Java is also valued
  • Working knowledge of SQL and experience working with relational databases preferred
  • Ability to work in a high-performance, high-velocity environment
  • Strong analytical and organizational skills with acute attention to detail
  • Strong communication skills
  • Customer focused and results oriented
  • Advanced Statistics knowledge related to Time Series preferred
  • Experience with code versioning tools such as Git preferred
  • Experience in Quantitative Finance and/or Financial Derivatives
----------Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.Employment Type: FULL_TIME

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