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Associate Data Scientist Jobs in Azusa, CA (NOW HIRING)

AEG Worldwide

Associate Data Scientist

Los Angeles, CA · On-site

$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 ...

East West Bank

Financial Crimes Data Scientist

Pasadena, CA · On-site

$100K - $200K/yr

... our associates' potential for career advancement. Headquartered in California, East West Bank ... Financial Crimes Data Scientist specializing in the development, deployment, and optimization of in ...

City of Hope

Transplant Data Reporting Associate

Duarte, CA · On-site

$61K - $62K/yr

He/she will coordinate and submit data for assigned allogeneic and autologous transplants, cellular therapies if applicable. He /she will be required to manage different hematology disease data ...

Omnicom

Data Science and Analytics_05

Los Angeles, CA · On-site

Data Science and Analytics As an Associate Director on the Marketing Science Measurement and Reporting team, you will develop actionable insights through quantitative analysis, innovative thinking ...

Slalom Consulting

General Information

Los Angeles, CA · On-site

$58 - $88/hr

In this role, you will apply advanced data science, modeling, and machine learning techniques to analyze climate and weather data, helping the utility better understand and prepare for climate and ...

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All JobsAssociate Data Scientist JobsAssociate Data Scientist Jobs in Azusa, CA

Associate Data Scientist information

See Azusa, CA salary details

$58.5K

$69.2K

$131.2K

How much do associate data scientist jobs pay per year?

As of Aug 27, 2026, the average yearly pay for associate data scientist in Azusa, CA is $69,218.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $60,500.00 per year, depending on experience, location, and employer.

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 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.

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 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 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.

More about Associate Data Scientist jobs

What are the most commonly searched types of Data Scientist jobs in Azusa, CA?

The most popular types of Data Scientist jobs in Azusa, CA are:

What cities near Azusa, CA are hiring for Associate Data Scientist jobs?

Cities near Azusa, CA with the most Associate Data Scientist job openings:

Associate Data Scientist jobs near you
Infographic showing various Associate Data Scientist job openings in Azusa, CA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $69,218 per year, or $33.3 per hour.

Associate Data Scientist

USC Gould School of Law

Los Angeles, CA

$99K - $113K/yr

Full-time

Re-posted 12 days ago

Job description

USC Institute of Urology delivers comprehensive, multidisciplinary urologic care and advanced surgical services across a broad range of subspecialties. The Institute advances innovation by integrating clinical expertise with research, education, and new technologies to improve patient outcomes and care delivery. Through collaboration across USC and USC Health, the Institute supports translational work that brings novel approaches into practice. The USC Urology AI Center builds and deploys practical, reliable AI systems to support clinical operations and research within the Department of Urology. The Center focuses on applied AI engineering, including agentic, tool-using LLM workflows built on established technologies and integrated into real-world departmental processes.

USC Institute of Urology is seeking an Associate Data Scientist.

In this role, the Associate Data Scientist will support the design, development, testing, and deployment of agentic AI workflows within a healthcare environment. Based in the AI Center at the USC Institute of Urology, they will collaborate with a cross-disciplinary team of clinicians, researchers, and engineers to translate clinical and operational needs into practical, AI-driven solutions.

Responsibilities include contributing to multi-step, API-driven workflows, integrating multi-modal data sources, and ensuring system reliability and traceability. The role focuses on building scalable, production-ready systems that enhance clinical operations, support research initiatives, and ultimately improve patient outcomes.

The successful candidate will be motivated, pro-active, resourceful, and detail-oriented. The position requires excellent organizational and communication skills with the ability to be decisive and adaptable. Candidates should have experience with agentic artificial workflows as well as a strong understanding of governance and security protocols for deploying AI solutions.

Required Qualifications:

BS/MS in Computer Science, Engineering, or equivalent practical experience.

Strong Python, SQL programming skills, GitHub, and experience with ML frameworks (PyTorch, TensorFlow, etc).

Full stack software development, experience with JavaScript, Node.js, QT, or similar

Demonstrated experience building and deploying LLM applications beyond prototypes, including tool/function calling, workflow orchestration, structured outputs, and validation.

Experience implementing grounding/retrieval and reliability evaluation (test cases, regression checks, monitoring) and familiarity with security and privacy best practices for sensitive data.

Preferred Qualifications:

  • Experience integrating structured and unstructured data to support workflow automation and incorporating multimodal inputs where applicable.

  • Multi-step workflow design with escalation and human-in-the-loop safeguards.

  • Agentic AI workflow implementation and design of AI Agents (n8n, LangChain, LangGraph, AutoGen, CrewAI, or similar).

  • Cloud deployment, secure operations (AWS/Azure/GCP), APIs.

  • Multi-agent systems / planning / Reinforcement Learning fundamentals.

  • Lightweight fine-tuning or adaptation experience.

Essential job duties include, but are not limited to:

Build AI workflows that execute multi-step tasks through APIs and internal databases.

Integrate and normalize multiple data modalities to support workflow execution.

Implement RAG and grounding controls to support traceability and reduce unsupported outputs.

Design, troubleshoot and refine Agentic AI workflows and AI Agents to augment current healthcare applications.

Collaborate with clinicians, researchers, and operational stakeholders to translate needs into safe, testable, and measurable deliverables

Follows established USC and department policies, procedures, objectives, performance improvement, attendance, safety, environmental, and infection control guidelines, including adherence to the workplace Code of Conduct and Compliance Plan.

This position is on-site and employee must report to work at the USC Health Science Campus in Los Angeles, CA when scheduled. Work hours and on-site days may be subject to change depending on business needs.

The annual budgeted salary range for this position is $99,823.75 - $113,589.23. When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience, education/training, key skills, internal peer equity, federal, state and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations.

Minimum Education: Bachelor's degree
Addtional Education Requirements Combined experience/education as substitute for minimum education
Minimum Experience: 2 years
Minimum Skills: Experience using statistical computer languages (e.g., R, Python, SQL) to manipulate data and draw insights from large data sets. Experience working with and creating data models and data architecture, and using data visualization tools (e.g., Tableau, ArcGIS, D3.js). Knowledge of current data modeling tools and various machine-learning techniques and algorithms (e.g., clustering, decision-tree learning, artificial neural networks). Experience scripting and programming in several languages with common data science toolkits. Proficient use of query languages (e.g., SQL, MDX) and experience working with relational (e.g., MySQL, SQL Server, Oracle, Snowflake, Redshift) and non-relational (e.g., Mongo, NoSQL) databases. Knowledge of applied, statistical concepts and techniques skills (e.g., distributions, statistical testing, regression). Excellent written and oral communication skills. Ability to provide both detailed information and summaries to management-level individuals and groups. Experience developing customer relationships and delivering customer-focused service. Proven problem-solving and decision-making skills, and the ability to uncover root cause and evaluate different solution options.
Preferred Education: Bachelor's degree In Applied Mathematics Or Computer Science Or Statistics Or in related field(s)
Preferred Experience: 4 years
Preferred Skills: Experience in data science, analytics, IT, cognitive engineering, or related fields. Demonstrated interest in data science and artificial intelligence, and experience in open domain (e.g., GitHub). Published writing on artificial intelligence and/or data science. Ability to write high-quality Python code. Familiarity with unit testing, source control and code review.

USC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristic protected by law or USC policy. USC observes affirmative action obligations consistent with state and federal law. USC will consider for employment all qualified applicants with criminal records in a manner consistent with applicable laws and regulations, including the Los Angeles County Fair Chance Ordinance for employers and the Fair Chance Initiative for Hiring Ordinance, and with due consideration for patient and student safety. Please refer to theBackground Screening Policy Appendix Dfor specific employment screen implications for the position for which you are applying.

We provide reasonable accommodations to applicants and employees with disabilities. Applicants with questions about access or requiring a reasonable accommodation for any part of the application or hiring process should contact USC Human Resources by phone at (213) 821-8100, or by email atuschr@usc.edu. Inquiries will be treated as confidential to the extent permitted by law.

  • Notice of Non-discrimination
  • Employment Equity
  • Read USC's Clery Act Annual Security Report
  • USC is a smoke-free environment
  • Digital Accessibility

If you are a current USC employee, please apply to this  USC job posting in Workday by copying and pasting this link into your browser:

https://wd5.myworkday.com/usc/d/inst/1$9925/9925$151551.htmld

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