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Data Science Junior Jobs in Georgia (NOW HIRING)

RELX Group plc

Data Scientist

Alpharetta, GA · On-site

Are you passionate about using data science to drive smarter risk decisions and create meaningful ... Individuals in this role can also support the development and training of junior staff. A Senior ...

Home Depot

Senior Data Scientist - MET

Atlanta, GA · On-site

Based on the specific data science project, this role would need to be knowledgeable in one or more ... Provide mentoring and coaching to more junior roles to support their technical competencies;

Xforia, Inc.

Data Scientist

Atlanta, GA · On-site

... junior data scientists and contribute to the growth and development of the data science team. • ... Work Experience And Education Requirements • Master's degree in Computer Science, Statistics ...

Home Depot

Senior Data Scientist, Online

Atlanta, GA · On-site

Based on the specific data science team, this role would need to be Proficient in one or more data ... Provide mentoring and coaching to more junior roles to support their technical competencies;

Deloitte

Lead AI and Data Science Engineer II

Atlanta, GA · On-site

$98K - $129K/yr

Mentor junior and mid-level data scientists across the analytics lifecycle, from problem framing and data collection through analysis and synthesis of findings. * Provide structure and oversight for ...

Deloitte

Lead AI and Data Science Engineer II

Atlanta, GA · On-site

$98K - $129K/yr

Mentor junior and mid-level data scientists across the analytics lifecycle, from problem framing and data collection through analysis and synthesis of findings. * Provide structure and oversight for ...

Home Depot

Lead Data Scientist

Atlanta, GA · On-site

Based on the specific data science team, this role has expertise in one or more data science ... Provide mentoring and coaching to more junior roles to support their technical competencies;

Munich Re

Data Scientist, AI

Atlanta, GA · On-site +1

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ... Mentor junior team members. * Data Scientist: 2 or more years of data science/predictive analytics ...

Smarsh

Lead Data Scientist

Atlanta, GA

Provide guidance to junior team members on model development and EDA * Work with Product Manager(s ... Experience with one or more data science and machine/deep learning frameworks and tooling ...

Smarsh

Lead Data Scientist

Atlanta, GA

Provide guidance to junior team members on model development and EDA * Work with Product Manager(s ... Experience with one or more data science and machine/deep learning frameworks and tooling ...

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All JobsData Science JobsData Science Junior JobsData Science Junior Jobs in Georgia

Data Science Junior information

What are the typical daily responsibilities of a data science junior?

As a Data Science Junior, your daily tasks often include cleaning and preparing data sets, conducting exploratory data analyses, and supporting the development of predictive models under the guidance of senior team members. You may also assist in visualizing data and preparing reports to help communicate insights to both technical and non-technical stakeholders. Collaboration is a key part of the role, as you'll frequently work with data engineers, analysts, and business teams to understand project goals. These responsibilities help you build foundational skills and gain exposure to a variety of real-world data problems early in your career.

What is a data science junior?

A Data Science Junior is an entry-level role in data science where professionals assist in analyzing data, building models, and generating insights. They work under the guidance of senior data scientists, helping with data cleaning, visualization, and basic machine learning tasks. This role requires proficiency in programming languages like Python or R, knowledge of statistics, and familiarity with data manipulation tools. It serves as a foundation for gaining hands-on experience and advancing in the data science field.

What are the key skills and qualifications needed to thrive as a data science junior?

To thrive as a Data Science Junior, a strong understanding of statistics, mathematics, and data analysis is essential, often supported by a bachelor's degree in a related field. Familiarity with programming languages like Python or R, as well as tools such as SQL and visualization platforms, is typically required. Strong problem-solving abilities, effective communication, and a willingness to learn make candidates stand out in this role. These skills enable efficient data exploration, clear communication of insights, and successful collaboration on data-driven projects.

What are the most commonly searched types of Data Science jobs in Georgia? The most popular types of Data Science jobs in Georgia are:
What are popular job titles related to Data Science Junior jobs in Georgia? For Data Science Junior jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Data Science Junior jobs in Georgia look for? The top searched job categories for Data Science Junior jobs in Georgia are:
What cities in Georgia are hiring for Data Science Junior jobs? Cities in Georgia with the most Data Science Junior job openings:
Data Science Junior jobs near you
Infographic showing various Data Science Junior job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Scientist

RELX Group plc

Alpharetta, GA • On-site

Full-time

Posted 16 days ago

Job description

Are you passionate about using data science to drive smarter risk decisions and create meaningful business impact?
Do you enjoy solving complex analytical challenges, working with large-scale data, and helping teams deliver innovative solutions in a collaborative environment?
About the Business
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within Insurance, we provide customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. Our insurance risk solutions help drive better data-driven decisions across the insurance policy lifecycle - all while reducing risk. You can learn more about LexisNexis Risk at the link below.
https://risk.lexisnexis.com/insurance
About our Team
We are looking for a Sr. Data Scientist I with strong expertise in statistics/modeling and machine learning to join our diverse team of data scientists on the Auto Insurance Rating Analytics team. This individual will play a key role in new product innovation, model development, generating actionable insights, and working closely with the Vertical and Product teams to design and implement new solutions that are cutting edge and support the insurance market.
About the Role
A Senior Data Scientist I should be able to define the scope of a project with support of managers and execute that project independently. Individuals in this role can also support the development and training of junior staff. A Senior Data Scientist I should be self-sufficient in executing basic methods, and work within their teams to execute increasingly sophisticated approaches to deliver outcomes. They should also support the development of best practices.
Responsibilities:
  • Developing, analyzing, and modeling operational, economic, management, accounting and other organizational data to quantify the competitive performance of business segments, evaluate potential operational changes, and design new approaches and methodologies
  • Analyzing organizational data to recommend solutions to new and complex problems, developing innovative strategies, quantifying the competitive performance of the organization's operations and/or markets; modeling and evaluating the potential impact of changes
  • Applying and integrating statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex high-volume data from a variety of sources
  • Functional Knowledge: Conceptual and practical expertise in own area required
  • Business Expertise: Has knowledge of best practices and how subject matter expertise integrates with others; is aware of the competition and the factors that differentiate the company in the market
  • Leadership: Occasionally leads the work of small project teams; provides informal guidance to junior staff
  • Problem Solving: Typically resolves problems using existing solutions
  • Impact: Works with minimal guidance
  • Interpersonal Skills: Explains difficult or sensitive information, models auto insurance risk, particularly in the context of credit-based data sources, generally using GLM techniques
  • Supports existing models
  • Python experience required
  • Cloud experience preferred
  • Develops, analyzes and models operational, economic, management, accounting and other organizational data to quantify the competitive performance of business segments, evaluate potential operational changes, and design new approaches and methodologies
  • Analyzes organizational data to recommend solutions to new and complex problems, develops innovative strategies, quantifies the competitive performance of the organization's operations and/or markets; models and evaluates the potential impact of changes
  • Applies and integrates statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex high-volume data from a variety of sources

Requirements:
  • Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science, or other quantitative discipline (or equivalent years of experience); Master's/Ph.D. degree preferred. Actuarial experience/certification also preferred.
  • 3+ years demonstrated experience in data manipulation and various AI/ML methodologies, preferably in applications using credit data for insurance or financial services
  • Strong expertise in one or more of the following: R, Python, SQL, or equivalent analytic software
  • Experience manipulating and merging multiple large data sets in a distributed computing environment
  • Solid understanding of ML techniques, including hypothesis testing, sample design, model development (linear and non-linear models), validation of machine learning models
  • Strong programming skills in Python and/or R, with extensive experience with their standard data manipulation and ML packages (pandas, scikit-learn, NumPy, XGBoost, PyTorch in Python and rpart, party, caret in R) and/or Scala
  • Strong ability as a self-starter to learn new technologies (Pyspark, ECL, Azure/AWS ML Services) and to share cross-functional knowledge across the teams

Risk benefit statement
Learn more about the LexisNexis Risk team and how we work https://relx.wd3.myworkdayjobs.com/RiskSolutions/page/21c296c982531000b79663f3194b0000
U.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
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