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Data Science Teaching Assistant Jobs in Atlanta, GA

Honeywell

Sr Advanced Data Scientist

Atlanta, GA · On-site +1

After influencing scope and prioritizing the analytics pipeline, you will assist in leading the technical execution of data science projects directing daily work of junior data scientists and will be ...

RELX

Data Scientist I (DSAP)

Alpharetta, GA · On-site

$59K - $98K/yr

Responsibilities: * Assist with assembling, cleaning, and organizing large datasets to prepare them ... Hold a bachelor's in data science/analytics, Computer Science, Mathematics, or other degrees in ...

LexisNexis

Data Scientist I (DSAP)

Alpharetta, GA · On-site

$59K - $98K/yr

Responsibilities: * Assist with assembling, cleaning, and organizing large datasets to prepare them ... Hold a bachelor's in data science/analytics, Computer Science, Mathematics, or other degrees in ...

RELX Group plc

Data Scientist I (DSAP)

Alpharetta, GA · On-site

$59K - $98K/yr

Responsibilities: * Assist with assembling, cleaning, and organizing large datasets to prepare them ... Hold a bachelor's in data science/analytics, Computer Science, Mathematics, or other degrees in ...

Honeywell

Sr Advanced Data Scientist

Atlanta, GA · On-site +1

After influencing scope and prioritizing the analytics pipeline, you will assist in leading the technical execution of data science projects directing daily work of junior data scientists and will be ...

RELX Group plc

Data Scientist

Alpharetta, GA · On-site

Are you passionate about using data science to drive smarter risk decisions and create meaningful ... to assist them in evaluating and predicting risk and enhancing operational efficiency. Our ...

Honeywell

Sr Advanced Data Scientist

Atlanta, GA · On-site

After influencing scope and prioritizing the analytics pipeline, you will assist in leading the technical execution of data science projects directing daily work of junior data scientists and will be ...

LexisNexis

Data Scientist I (DSAP)

Alpharetta, GA · On-site

$59K - $98K/yr

Responsibilities: * Assist with assembling, cleaning, and organizing large datasets to prepare them ... Hold a bachelor's in data science/analytics, Computer Science, Mathematics, or other degrees in ...

CYNET SYSTEMS

Data Engineer

Alpharetta, GA · On-site

$55/hr

... Assist AI and Agent Desktop aligned initiatives. * This role focuses on prompt engineering model ... The ideal candidate must have data science and machine learning foundations with strong Python and ...

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Showing results 21-40

All JobsData Science Teaching JobsData Science Teaching Assistant JobsData Science Teaching Assistant Jobs in Atlanta, GA

Data Science Teaching Assistant information

What is a data science teaching assistant?

Data Science Teaching Assistants (TAs) support instructors and students in data science courses or bootcamps. They help clarify complex concepts, assist with coding exercises, answer student questions, and sometimes grade assignments or provide feedback. TAs often have a strong foundation in programming, statistics, and data analysis, and they play a key role in enhancing the learning experience. Their involvement can range from leading small group sessions to providing one-on-one help during office hours.

What skills and qualifications are needed to be a data science teaching assistant?

To thrive as a Data Science Teaching Assistant, you need a solid understanding of data science concepts, programming (especially Python or R), statistics, and often a relevant degree or coursework. Familiarity with tools such as Jupyter Notebooks, data visualization libraries, and version control systems like Git is typically required. Strong communication, patience, and the ability to explain complex topics clearly are standout soft skills in this role. These skills enable effective student support, reinforce learning outcomes, and contribute to a positive educational environment.

What challenges do data science teaching assistants face when supporting student learning, and how can they be addressed?

Data Science Teaching Assistants often encounter challenges such as explaining complex concepts in accessible ways, managing diverse student skill levels, and providing timely feedback on assignments. To address these challenges, it's important to use clear examples, encourage open communication, and adapt explanations to different learning styles. Collaborating closely with course instructors and leveraging office hours or online discussion forums can also help TAs support students more effectively and ensure no one falls behind.

What is the difference between Data Science Teaching Assistant vs Data Analyst?

AspectData Science Teaching AssistantData Analyst
Required CredentialsOften a degree in data science, statistics, or related field; familiarity with data toolsDegree in statistics, data analysis, or related field; proficiency in data tools
Work EnvironmentEducational settings, labs, online coursesBusiness, corporate, or research environments
Employer & Industry UsageUniversities, online education platformsCorporations, consulting firms, government agencies
Common Search & Comparison IntentUnderstanding teaching roles in data science educationUnderstanding data analysis tasks and roles

While both roles involve working with data and require similar technical skills, a Data Science Teaching Assistant primarily supports educational activities, assisting instructors and students in learning data science concepts. In contrast, a Data Analyst focuses on analyzing data to generate insights for business decisions. The roles differ mainly in their work environment and primary objectives, though they share foundational data skills.

How to become a data science teaching assistant?

To become a data science teaching assistant, candidates typically need a strong background in data science, statistics, or related fields, along with proficiency in programming languages like Python or R. Relevant experience with data analysis, machine learning, and teaching or mentoring skills are also important, and some positions may require a graduate degree or teaching experience. Gaining familiarity with tools such as Jupyter notebooks and SQL can enhance qualifications.

What are popular job titles related to Data Science Teaching Assistant jobs in Atlanta, GA?

For Data Science Teaching Assistant jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Data Science Teaching Assistant jobs in Atlanta, GA look for?

The top searched job categories for Data Science Teaching Assistant jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Data Science Teaching Assistant jobs?

Cities near Atlanta, GA with the most Data Science Teaching Assistant job openings:

Data Science Teaching Assistant jobs near you
Infographic showing various Data Science Teaching Assistant job openings in Atlanta, GA as of June 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 81% Physical, 1% Hybrid, and 18% Remote job distribution.

Data Scientist

Reed Elsevier Technology Services

Alpharetta, GA • On-site

Other

Posted 4 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.
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 ;br>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.
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