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Data Modeler Jobs in California (NOW HIRING)

Keylent Inc

Tech LEAD MAHIN-JOB-33433

Santa Clara, CA · On-site

Keylent Inc is a company seeking a Data Modeler to join their team. The role involves working with data warehouses, ETL processes, and advanced SQL, as well as utilizing Erwin tools and Data Vault 2 ...

DD-Scientific Data

Scientific Data Engineer

Bodega Bay, CA · On-site

$135K - $163K/yr

Work with domain experts to develop FAIR data models (i.e., models of the structure organization of the data) and management solutions for bioscience applications * Support machine learning and AI ...

DD-Scientific Data

Scientific Data Engineer

Bodega Bay, CA · On-site

$135K - $163K/yr

Work with domain experts to develop FAIR data models (i.e., models of the structure organization of the data) and management solutions for bioscience applications * Support machine learning and AI ...

Info Way Solutions

Milvus vector database

Sunnyvale, CA · On-site

$64 - $82.75/hr

Job Summary : Info Way Solutions is seeking a resource with hands-on experience and knowledge of the Milvus vector database. The role involves managing both relational and non-relational databases ...

CIM Group

Director, Information Architect

Los Angeles, CA · On-site

$68.75 - $88.25/hr

The role involves extensive partnership with business stakeholders to understand data requirements and translate them into robust data models, while establishing data modeling standards and ...

CIM Group

Director, Information Architect

Los Angeles, CA · On-site

$68.75 - $88.25/hr

Dimensional Modeling (Kimball), 3NF (Inmon), Data Vault, and NoSQL modeling patterns. • Design and implement medallion architecture (bronze/silver/gold) patterns within the Databricks Lakehouse ...

MSR Cosmos

AWS Data Architect

Gardena, CA · On-site

$65.25 - $84/hr

Toorance CA Onsite Duration: Long Term Developing CDM (Conceptual Data Model), LDM (Logical Data Model), PDM (Physical Data Model), data modeling, integration, data migration, and ETL development on ...

Vscore Inc.

Data Analyst

Sacramento, CA · On-site

Design, develop, and maintain the data models and create logical representations of data entities, defining their attributes, relationships, and dependencies. * Analyse and optimize the data model ...

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How much do data modeler jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for data modeler in California is $57.94, according to ZipRecruiter salary data. Most workers in this role earn between $51.97 and $67.36 per hour, depending on experience, location, and employer.

What is a data modeler?

Data Modelers are professionals who design, create, and manage data models that define the structure, organization, and relationships of data within databases or information systems. They work closely with business analysts, database administrators, and developers to ensure that data is organized efficiently and can be accessed and used effectively. Data Modelers use specialized tools and techniques to translate business requirements into conceptual, logical, and physical data models, supporting data consistency, integrity, and security across an organization's systems.

What does a data modeler do?

As a data modeler, your responsibilities are to break down complex computer system data into a logical process that makes it easier to understand for data analysis and statistical purposes. Your duties as a data modeler include reducing data redundancy, checking for data errors, conceptualizing and designing efficient data models, overseeing data architecture growth, and fine-tuning data performance. These positions are usually independent, but you may sometimes need to work with other team members to address potential issues related to data. Data modelers need self-motivation, critical thinking, and problem-solving skills, and you should be quick to adapt.

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

To thrive as a Data Modeler, you need a strong understanding of database design, data modeling concepts (such as ER diagrams and normalization), and proficiency in SQL, often supported by a degree in computer science or a related field. Experience with data modeling tools like ERwin, IBM InfoSphere Data Architect, or Microsoft Visio, as well as knowledge of database management systems (DBMS), is typically required. Strong analytical thinking, attention to detail, and effective communication skills help in translating business requirements into technical data structures. These skills and qualities are essential for building scalable, efficient, and accurate data systems that meet organizational needs.

What are some typical challenges data modelers face when working on large-scale projects?

Data Modelers often encounter challenges such as integrating data from multiple, disparate sources and ensuring consistency across large and complex datasets. Aligning the data model with evolving business requirements while maintaining performance and scalability can also be demanding. Additionally, effective communication with stakeholders—like business analysts, database administrators, and software developers—is crucial to ensure the data model meets both technical and business needs.

How much do data modelers make?

Data modelers typically earn a median annual salary between $80,000 and $120,000, depending on experience, location, and industry. Senior data modelers with specialized skills in database design and data warehousing can earn higher salaries, often exceeding $130,000 annually.
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Data Modeler jobs near you
Infographic showing various Data Modeler job openings in California as of September 2026, with employment types broken down into 72% Full Time, 5% Part Time, 2% Temporary, and 21% Contract. Highlights an 96% In-person, 2% Hybrid, and 2% Remote job distribution, with an average salary of $120,524 per year, or $57.9 per hour.

Data Scientist, Modeler

Los Angeles, CA • On-site

The Wonderful Company
See more jobs at The Wonderful Companyexternal

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 4 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

Job description

Company Description
Teleflora 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 environments

Pay Range: $130,000- $150,000. Final compensation will be dependent upon skills & experience.
Additional Information
  • Thriving Wellness Community: Access to top-notch medical coverage comprehensive vision and dental plans, and a 401k with match eligibility to secure your financial future and including:
    • 24/7 online physician consultations
    • virtual mental health resources
    • life coaching
    • engaging employee community groups
    • cash rewards for healthy habits and fitness reimbursements
    • library of on-demand fitness videos
  • 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 and Development: Grow as a leader with our dedicated Learning and Organizational Development department, offering extensive resources like People Manager and leadership training, webinars, and eLearning courses.
  • Empowering Mentorship Program: Connect with colleagues through our company-wide mentorship program to share goals, overcome challenges, and drive your career forward.
  • Continuous Improvement Training: Participate in training that empowers all employees to learn and implement concepts that drive significant, positive change in the workplace.
  • Building a Healthy Society: To date, our co-Founders Lynda and Stewart Resnick, through their foundations and The Wonderful Company, have invested more than $2.5 billion in education, health and wellness, community development, and sustainability initiatives across California's Central Valley, Fiji, and the world. In 2025, Wonderful ranked as #1 in PEOPLE's "100 Companies That Care" list and was named one of Fortune magazine's 100 Best Companies to Work For. To learn more about our corporate social responsibility efforts, visit csr.wonderful.com.
  • Giving Back to the Community: Make a difference with Wonderful Giving, allowing you to allocate company-provided funds to up to three charities of your choice, and join Wonderful Neighbor to contribute to group service projects within our local communities.

Say everything and share your "Love Out Loud™" with the gift of Teleflora® 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.
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