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Data Science Associate Jobs in Whittier, CA (NOW HIRING)

General Information

Los Angeles, CA ยท 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 ...

... data into insights that improve experiences for associates, customers, and the people we serve. In ... Science, or a related field. * Master's degree preferred in Public Health, Healthcare ...

Independently analyzes data for signal assessment and leads preparation of materials of ad hoc ... MPH, PharmD, PhD, or Masters in a Health Science) * Knowledge of the drug development process which ...

Associate VP, Philanthropy Data Analytics

Orange, CA ยท On-site

$138.76 - $277.51/hr

## Associate VP, Fundraising Analytics & Data IntelligenceApplyremote type: Hybridlocations: Main ... Required:Bachelor's degree in Information Systems, Data Science, Business Analytics, Computer ...

Showing results 41-60

Data Science Associate information

See Whittier, CA salary details

$60.8K

$71.9K

$136.4K

How much do data science associate jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data science associate in Whittier, CA is $71,934.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,400.00 and $62,900.00 per year, depending on experience, location, and employer.

What is a data science associate?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

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

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

How does a data science associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

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

AspectData Science AssociateData 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; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

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

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to advance into more specialized roles.

What are the most commonly searched types of Data Science jobs in Whittier, CA?

The most popular types of Data Science jobs in Whittier, CA are:

What job categories do people searching Data Science Associate jobs in Whittier, CA look for?

The top searched job categories for Data Science Associate jobs in Whittier, CA are:

What cities near Whittier, CA are hiring for Data Science Associate jobs?

Cities near Whittier, CA with the most Data Science Associate job openings:

Infographic showing various Data Science Associate job openings in Whittier, CA 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, with an average salary of $71,934 per year, or $34.6 per hour.

25336-Associate Director, Data Management & Visualization

Omnicom

Los Angeles, CA โ€ข Hybrid

Full-time

Posted 25 days ago


Job description

Agency:

Omnicom Media

Job Function:

Data and Analytics

Job Subfunction:

Data Science and Analytics


Job Description:

TEAM DESCRIPTION
The Data Management team provides oversight of the data generated throughout the campaign delivery and performance optimization throughout its lifecycle. They will also work with other internal practice teams of Digital Analytics, Planning, and Digital Investment. You will provide oversight of all digital media buys to ensure that they are following process, purchased, and inputted according to organizational standards. This role requires a strong familiarity with all available analytics and technology tools, both syndicated and proprietary. Candidate must have a mindset towards fostering processes through automation.
ROLE SUMMARY
The Associate Director, Data Operations is accountable for the orchestration and flawless execution of business intelligence, data governance, and operational excellence across all media channels. Serving as both a leader and subject matter expert, this role bridges Digital Media, Marketing Science, and Offshore Data Operations teams, providing technical oversight and ensuring high-quality standards in data management, process automation, and analytics. The ideal candidate proactively advances data strategy and fosters collaboration with internal teams, clients, and external vendors, with an unwavering focus on continuous improvement in data quality and efficiency.
JOB DESCRIPTION
Data Strategy & Governance: Direct the development, implementation, and maintenance of data strategies, quality standards, business rules, and governance processes for diverse client accounts and media channels.
Project & Process Leadership: Oversee the creation and management of project plans, assign and prioritize tasks, and ensure standardized processes. Facilitate regular status meetings, proactively resolve roadblocks, and drive initiative progression in a fast-paced, agile environment.
Cross-Functional Collaboration: Act as liaison among internal teams (Strategy, Digital Investment, Planning, Analytics, Finance), offshore resources, external vendors, and clients. Foster positive working relationships and effectively communicate roles, responsibilities, and expectations.
Data Quality & Problem Solving: Supervise investigation and resolution of data integrity issues, define/implement business rules for data cleansing and QA, and ensure best practices in all data and technology projects.
Technical Solution Oversight: Advise on or lead the deployment of business intelligence tools, data warehousing, ETL processes, and automation initiatives. Champion adoption of new technology and process solutions, ensuring data is the backbone for all media and analytics disciplines.
Team Leadership: Supervise and mentor Managers, Senior Analysts, and Analysts; cultivate a supportive, growth-oriented environment. Guide teams in Data Operations, quality assurance, and client management tasks.
SKILLS & EXPERIENCE
5-7 years' experience in data management, data engineering, data operations and/or business intelligence
3-5 years' experience in digital media data (ad server, digital, search, social, video, offline, etc.)
3-5 years' experience in agile development environments
3-5 years' experience in client-facing work and managing offshore or cross-functional teams
4+ years' experience in data governance and quality processes within data warehousing, ETL, and BI environments
5+ years' experience in business analysis or related disciplines
In-depth expertise across digital and traditional media channels and handling diverse datasets (paid, owned, etc.)
Demonstrated ability to diagnose, escalate, and solve complex data quality and operational issues
Outstanding organizational and project management skills
Comfortable multitasking and adapting to fast-evolving needs
Superior attention to detail, with excellent verbal and written communication skills
Proven ability to build relationships across internal teams, vendors, and clients
Comfort and accuracy working with budgets and large sets of numerical data
Media industry experience highly preferred
TOOLS
Business Intelligence: Advanced Excel (required), Tableau, PowerBI, Datorama, Looker/Looker Studio, Domo, PowerPoint
Data Management & Transformation: ETL Tools (Adverity, Datorama), Alteryx, SQL (preferred), Python (nice to have)
Data Storage/Cloud: Snowflake, AWS (Redshift, S3), Starburst.io, Datorama, Domo
Media Platforms: DCM, DV360, Google Ads, DoubleVerify, IAS, TradeDesk, Facebook, Instagram, Snapchat, Twitter, TikTok, Prisma
Project Management: HIVE, Asana, Smartsheet, Microsoft Teams
Media Planning: MediaTools, Lumina, Hudson (bonus)
Other: Experience with writing business and technical requirements documents; comfort with business rules design and BI tool administration 110,000.00 - 140,000.00

Omnicom's policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom's corporate group already require five days of in-office attendance.


Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we're focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us-we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.


Link to Recruitment Privacy Notice: https://www.omc.com/privacy-notice


For US Job Seekers:


It is the policy of Omnicom and any of its affiliates to provide equal employment opportunities to all employees and applicants for employment without regard to race, religion, color, ethnic origin, gender, gender identity, age, marital status, veteran status, sexual orientation, disability, or any other basis prohibited by applicable federal, state, or local law. EOE/AA/M/D/V/F.