ZipRecruiter

Log In

1

Associate Data Scientist Jobs (NOW HIRING)

AEG

Associate Data Scientist

Los Angeles, CA · On-site

$63K - $64K/yr

The Associate Data Scientist will support analytics and machine learning initiatives, assisting with data analysis and reporting to enhance ticketing, marketing, and operational strategies.

New

UL Solutions

Associate Data Scientist

Northbrook, IL · Hybrid

$60K - $60K/yr

The Associate Data Scientist supports the Operations Data Science & AI team at UL Solutions in developing predictive models, data-driven and AI solutions for laboratory, field engineering, and ...

Holland America Group

Associate Data Scientist

Seattle, WA · On-site

$67K - $68K/yr

The Associate Data Scientist will play a hands-on role in supporting the ongoing development, enhancement, and adoption of YODA-the proprietary yield optimization and demand analytics platform built ...

Holland America Group

Associate Data Scientist

Seattle, WA

$67K - $68K/yr

The Associate Data Scientist will play a hands-on role in supporting the ongoing development, enhancement, and adoption of YODA-the proprietary yield optimization and demand analytics platform built ...

Capital One

Senior Associate, Data Scientist

Mclean, VA · On-site

Senior Associate, Data Scientist Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical ...

AEG Worldwide

Associate Data Scientist

Los Angeles, CA

$63K - $64K/yr

Job Summary The Associate Data Scientist supports analytics, forecasting, and machine learning initiatives across AEG Presents. This role assists with analyzing structured and unstructured data ...

New

NextEra Energy

Associate Data Scientist

Miami, FL · On-site

$56K - $56K/yr

The successful Associate Data Scientist will demonstrate strong proficiency in Python for analytics and model development. Experience setting up and managing development environments for model ...

Yext

Associate Data Scientist

Washington, DC · On-site

$124K - $207K/yr

As an Associate Data Scientist you will be responsible for analyzing data, interpreting results, training models, and expanding Yext's algorithmic product features. You'll work with frontier LLMs ...

Cmu

Associate Data Scientist

Pittsburgh, PA

$57K - $57K/yr

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cybersecurity ...

Quantifind

Associate Data Scientist

Palo Alto, CA · On-site

$69K - $69K/yr

Knowledge of data structures and algorithm complexity The Opportunity We Offer Quantifind is seeking to fill an Associate Data Scientist position on our Data Science team in Palo Alto, California.

next page

Showing results 1-20

All JobsAssociate Data Scientist Jobs

Associate Data Scientist information

See salary details

$57.5K

$68K

$129K

How much do associate data scientist jobs pay per year?

As of Jun 27, 2026, the average yearly pay for associate data scientist in the United States is $68,039.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $59,500.00 per year, depending on experience, location, and employer.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to optimize model performance and efficiency.

What is the difference between Associate Data Scientist vs Data Analyst?

AspectAssociate Data ScientistData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; certifications like Microsoft Excel or Tableau are common
Work EnvironmentCollaborates with data science teams, develops models, and analyzes complex datasetsPrepares reports, visualizes data, and provides insights for decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms focusing on predictive modelingCommon across various industries for business reporting and operational analysis

The Associate Data Scientist typically focuses on building models and advanced analytics, requiring programming skills and statistical knowledge. Data Analysts mainly interpret data through reports and visualizations, often with less emphasis on coding. Both roles are essential in data-driven organizations but differ in technical depth and responsibilities.

What are the key skills and qualifications needed to thrive as an Associate Data Scientist, and why are they important?

To thrive as an Associate Data Scientist, you need strong analytical skills, a solid foundation in statistics, and proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Experience with data visualization tools (e.g., Tableau), machine learning libraries (e.g., scikit-learn), and database systems (e.g., SQL) is often required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating data insights into actionable business solutions. These skills and qualities are essential for extracting valuable insights from complex data and driving data-informed decision-making within organizations.

What is the role of an associate data scientist?

An associate data scientist analyzes data to identify patterns and insights that support business decisions. They typically work with tools like Python, R, or SQL and assist in developing models, reports, and visualizations under the guidance of senior data scientists. The role often requires strong analytical skills, knowledge of statistics, and familiarity with data management.

What does an Associate Data Scientist do?

An Associate Data Scientist supports data-driven decision-making by collecting, cleaning, and analyzing large datasets. They use statistical methods and programming languages like Python or R to identify trends, build predictive models, and generate insights for business problems. Working under the guidance of more experienced data scientists, they also help visualize data and communicate findings to technical and non-technical stakeholders. This entry-level role often involves learning new tools and techniques while contributing to real-world projects.

What are some typical projects an Associate Data Scientist might work on, and how do they collaborate with other team members?

As an Associate Data Scientist, you can expect to contribute to a range of projects such as developing predictive models, analyzing large datasets to uncover business insights, and supporting the deployment of machine learning solutions. Collaboration is key; you'll often work closely with data engineers to prepare and process data, as well as with business analysts and product managers to align your findings with organizational goals. Regular meetings, code reviews, and knowledge-sharing sessions are common, providing opportunities to learn from senior data scientists and broaden your technical skills.

What can I do with an associate's degree in data science?

An associate's degree in data science prepares individuals for entry-level roles such as data technician, data analyst, or junior data scientist. These positions involve working with data collection, cleaning, and basic analysis using tools like Excel, SQL, or Python. Further certifications or experience can help advance to more specialized or higher-level roles.

What Does an Associate Data Scientist Do?

The duties of an associate data scientist are to analyze statistical data analysis on large sets and identify trends by using advanced mathematical and computer science skills. Their responsibilities often include assisting in the production of statistical models, tools, and processes. They typically are in the process of pursuing a master’s degree and report to a senior data scientist. The qualifications you need are a bachelor’s degree in statistics, computer science, or a related field as well as experience working with machine-learning and data mining algorithms.

Is 40 too late for data science?

Associate Data Scientists and other data science roles do not have strict age limits, and many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be developed through online courses and certifications regardless of age.
More about Associate Data Scientist jobs
What cities are hiring for Associate Data Scientist jobs? Cities with the most Associate Data Scientist job openings:
What are the most commonly searched types of Data Scientist jobs? The most popular types of Data Scientist jobs are:
Who are the top companies hiring for Associate Data Scientist jobs? The top employers for Associate Data Scientist jobs are:
What states have the most Associate Data Scientist jobs? States with the most job openings for Associate Data Scientist jobs include:
What job categories do people searching Associate Data Scientist jobs look for? The top searched job categories for Associate Data Scientist jobs are:
What are popular job titles related to Associate Data Scientist jobs? For Associate Data Scientist jobs, the most frequently searched job titles are:
Associate Data Scientist jobs near you

Associate Data Scientist

AEG

Los Angeles, CA • On-site

$63K - $64K/yr

Full-time

Posted 2 days ago

Job description

Job Summary:
AEG is a leading company in the live entertainment industry, hosting millions of guests and events annually. The Associate Data Scientist will support analytics and machine learning initiatives, assisting with data analysis and reporting to enhance ticketing, marketing, and operational strategies.
Responsibilities:
• Support the development and maintenance of forecasting and predictive models related to ticket sales, attendance, marketing performance, and other business metrics to support data-driven decision-making.
• Apply statistical analysis and basic machine learning techniques to support forecasting, reporting, and analytical projects.
• Assist with NLP and text analysis projects involving customer feedback, surveys, and social media content to identify sentiment and recurring themes.
• Assist with customer segmentation, behavioral analysis, and audience targeting initiatives to support marketing effectiveness and fan engagement strategies.
• Analyze structured and unstructured datasets from ticketing systems, marketing platforms, surveys, CRM systems, web activity, and event operations to identify trends and actionable insights.
• Build and maintain datasets, dashboards, workflows, and recurring reports to support analytics initiatives and business operations.
• Prepare dashboards, presentations, and summaries that communicate analytical findings and recommendations to internal stakeholders.
Qualifications:
Required:
• BA/BS Degree (4-year) Bachelor's degree in: Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, Operations Research, Physics, or a related quantitative field
• 1-2 years Data Science, Advanced Analytics, Machine Learning, Business Intelligence, or a related quantitative field.
• Working knowledge of SQL with the ability to query, join, clean, and analyze structured datasets.
• Working knowledge of Python or similar programming language for data analysis, reporting, statistical analysis, and basic machine learning workflows.
• Understanding of foundational statistical and analytical concepts including regression, classification, clustering, forecasting, and segmentation techniques.
• Familiarity with data preparation, feature engineering, model validation, and data quality review processes.
• Ability to analyze data and identify trends, patterns, and actionable business insights.
• Strong organizational skills with the ability to manage multiple assignments and priorities in a fast-paced environment.
• Strong written and verbal communication skills with the ability to present analytical findings clearly to technical and non-technical stakeholders.
• Ability to work collaboratively across analytics, marketing, finance, operations, engineering, and business teams.
• Strong attention to detail and commitment to data accuracy, consistency, and documentation.
• Eagerness to learn new analytical tools, technologies, and business processes within a live entertainment environment.
Preferred:
• Exposure to NLP and text analysis concepts such as sentiment analysis, topic modeling, text preprocessing, and summarization preferred.
• Experience creating reports, dashboards, or data visualizations using tools such as Tableau, Looker, Power BI, Excel, or similar platforms preferred.
• Familiarity with ticketing, marketing, CRM, customer engagement, digital analytics, or event-related datasets preferred.
Company:
AEG is one of the leading sports and entertainment presenters in the world. AEG, a wholly owned subsidiary of the Anschutz Company, owns, Founded in 1994, the company is headquartered in Los Angeles, USA, with a team of 10001+ employees. The company is currently Late Stage.

About AEG

Sourced by ZipRecruiter

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Saint Louis, MO, US

Year founded

1992

View All AEG Jobs

Apply