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

Commercial Data Associate Location: Santa Monica CA Duration: 6 Months Job Type: Contract Work Type ... Works collaboratively with Process Engineers and Statisticians in Global Manufacturing Sciences and ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ...

New

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 ...

Showing results 21-40

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 Aug 8, 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.

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 can I do with a data science associate?

A data science associate typically supports data analysis, data cleaning, and model development using tools like Python, R, or SQL. They may assist in preparing reports, visualizations, and insights for decision-making, often working under the guidance of senior data scientists or analysts.

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.

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 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.

Data Scientist, Modeler

The Wonderful Company LLC

Los Angeles, CA • On-site

$100 - $135/hr

Other

Re-posted 27 days ago


The Wonderful Company rating

6.5

Company rating: 6.5 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

285th of 435 rated food and drinks producers


Job description

Data Scientist, Modeler|Teleflora# Data Scientist, ModelerTeleflora | Los Angeles, CA | Research/science/R&D | Associate | Full-time | Job ID: REF7301NShare* Email## Company DescriptionTeleflora provides innovative marketing, education, and technology to make sure our member florists get the resources they need to thrive, creating beautiful bouquets with keepsake vases delivered to your door. We’ve been a part of The Wonderful Company family since 1979, and with a nationwide network of florists, we’ve become the world’s largest flower delivery service. With more than 10,000 member florists in North America, we lead the industry by working directly with our florists to hand-arrange and hand deliver every bouquet!We are seeking a Data Scientist to lead forecasting, budgeting, and advanced analytics for our eCommerce business, while also driving adoption of AI and Large Language Models (LLMs) across analytics and business workflows.This role combines traditional data science (forecasting, LTV modeling, experimentation validation) with emerging AI capabilities to unlock new efficiencies and insights. A key aspect of this role is the ability to translate complex analyses into clear, compelling narratives for non-technical stakeholders, including senior leadership. The Data Scientist will also support A/B testing by validating results, while not owning test execution.This position will be based at our West Los Angeles, CA office. We work a hybrid schedule with an in-office requirement Monday-Wednesday and the option to work remotely on Thursday and Friday.## Job Description**Forecasting & Budgeting (Core Ownership)*** Own forecasting models for: + Revenue, orders, conversion rates, and AOV + Marketing performance and demand planning* Partner with Finance and Leadership on budgeting and planning cycles* Build scenario models to support strategic decisions* Continuously improve forecast accuracy using statistical and machine learning techniques**Customer & LTV Modeling (Core Requirement)*** Design and maintain **Customer Lifetime Value (LTV) models*** Perform cohort analysis, retention modeling, and customer segmentation* Identify key drivers of long-term customer value and profitability* Partner with Marketing and Product to apply LTV insights to acquisition, retention, and personalization strategies**AI / LLM Strategy & Implementation*** Lead adoption of AI/LLM capabilities across analytics and business workflows* Identify and implement use cases such as: + Automated insight generation and reporting + Natural language querying (NL → SQL) + Customer behavior summarization and segmentation* Build prototypes and scalable solutions using APIs (OpenAI, Claude, Gemini, etc.)* Critically evaluate AI-generated outputs for **accuracy, plausibility, and business relevance****Advanced Analytics & Modeling*** Develop models for: + Demand forecasting and seasonality + Customer behavior and conversion drivers* Leverage GCP/BigQuery for large-scale data analysis* Identify key drivers of performance across product, pricing, and customer behavior**A/B Test Validation & Experimentation Support*** Validate statistical significance and methodology of A/B tests* Ensure accuracy and consistency of test readouts* Define guardrails and best practices for experimentation measurement* Partner with Product and Analytics teams (without owning test execution)**Communication & Executive Storytelling (Critical)*** Translate complex analyses into **clear, actionable insights for non-technical stakeholders*** Develop **high-quality presentations and narratives** for senior leadership and executives* Clearly articulate assumptions, risks, and confidence levels in models and forecasts* Influence decision-making through structured, data-driven storytelling**Data Strategy & Cross-Functional Collaboration*** Work closely with: + Data Analytics Manager (India) + Data Engineering / DW team + Product, Marketing, and Finance stakeholders* Help define scalable data models and structures to support analytics and AI use cases**Tooling & Infrastructure*** Build models and workflows using: + Python (preferred) or R + SQL / BigQuery (GCP ecosystem)* Work with modern AI tooling: + LLM APIs (OpenAI, Claude, Gemini)* Help establish scalable pipelines for both traditional ML and LLM-based systems* Establish best practices for prompt design, validation, and governance## Qualifications* 5+ years in Data Science or Advanced Analytics (preferably eCommerce or consumer business)* Experience presenting to senior executives and driving decisions* Strong experience with: + Forecasting and time series modeling + **Customer Lifetime Value (LTV) modeling** + Python and SQL (BigQuery preferred) + Statistical analysis and experimentation* Proven ability to build **executive-level presentations and communicate complex insights clearly*** Hands-on experience with LLMs and AI tools (OpenAI, Claude, Gemini, etc.)* Experience building or prototyping AI-powered workflows or applications* Strong ability to **evaluate and validate AI-generated outputs for accuracy and plausibility*** Understanding of: + Prompt engineering + Model limitations (hallucination, bias, cost tradeoffs)* Excellent verbal and written communication skills* Ability to influence stakeholders across Product, Marketing, Finance, and Leadership* Master's degree (or foreign equivalent) in Data Science or Statistics**Preferred:*** Experience with GCP ecosystem* Exposure to MLOps or productionizing models* Experience in eCommerce or high-volume consumer environmentsPay Range: $100,000- $135,000. Final compensation will be dependent upon skills & experience.Say everything and share your "Love Out Loud(TM)" with the gift of Teleflora(R) flowers—all made by hand and delivered by hand by your local florist. With more than 10,000 member florists in North America alone, Teleflora offers the kind of personal touches, artistry and expertise you expect from a trusted neighborhood florist—even if that neighborhood is across the country. No prepackaged flowers in nondescript boxes dropped on your doorstep—Teleflora's network of professional florists creates artistic arrangements personally delivered in a vase, often on the same day. Teleflora makes every day an occasion with a two-in-one gift that includes a multipurpose keepsake container for long-lasting enjoyment. For more, visit: www.teleflora.com, or follow us on Instagram and Facebook and tag your own #LoveOutLoud moment.Telefora is part of The Wonderful Company, a successful, fast-growing privately held $6 billion company with 10,000 employees worldwide. The Wonderful Company’s connection to consumers has health at its heart and giving back in its DNA. The company has a long-standing commitment to corporate social responsibility, including more than $1 billion invested in environmental sustainability; $65 million in charitable giving, education initiatives, and innovative health and wellness programs each year; and $143 million toward the construction of two charter school campuses in California’s Central Valley. To view the current Corporate Social Responsibility report, visit csr.wonderful.com.The Wonderful Company is an Equality Opportunity Employer that provides opportunities for advancement. We are committed to creating a diverse workforce that embodies a deep culture of acceptance, equity, and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, region, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories.#LI-JB1#LI-HybridEEO is the law -* **Career Advancement Opportunities:** Unlock your potential with clear paths for career progression and internal mobility across our diverse family of brands and business units.* **Focused Learning #J-18808-Ljbffr

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