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Mom Model Jobs in California (NOW HIRING)

Data Scientist

San Mateo, CA · On-site

$180K - $250K/yr

To learn more about our culture, values and how you can be a part of helping mom & pop restaurants ... You'll own end-to-end data initiatives, deploy models into production, and play a critical role in ...

Senior R&D

Sunnyvale, CA · On-site

$116K - $174K/yr

Strong background in computational electromagnetics, including experience with full-wave or quasi-static EM modeling, Maxwell's equations, and numerical methods such as FEM, BEM, or MoM

Your Job Molex is seeking an experienced Senior Signal Integrity Project Engineer to design, model ... Experience with available CAD/CAE tools such as Channel Designer, HFSS, CST, FDTD tools, MoM tools ...

New

Senior Data Analyst

San Francisco, CA · Remote

$101K - $127K/yr

Used Python or R for automation or modeling. A bit about Pairtu We started Pairtu after years of fighting the system for our own families--Arian\'s mom is beating pancreatic cancer today because he ...

Showing results 41-60

Mom Model information

See California salary details

$5

$19

$24

How much do mom model jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for mom model in California is $19.25, according to ZipRecruiter salary data. Most workers in this role earn between $15.19 and $23.70 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the mom model position, and why are they important?

To thrive as a Mom Model, you need confidence in front of the camera, a presentable and versatile appearance, and some prior experience or training in modeling or acting. Familiarity with photo shoot protocols, posing techniques, and sometimes booking platforms or agency systems is valuable. Strong interpersonal skills, professionalism, and the ability to follow creative direction help you stand out in this role. These abilities are important for consistently meeting client expectations in advertising, commercial, or promotional projects aimed at family-focused audiences.

What types of brands or industries commonly hire mom models, and what does a typical work assignment look like?

Mom Models are often hired by clothing brands, parenting and family product companies, lifestyle magazines, and commercial advertisers to authentically represent mothers and families in their campaigns. Typical assignments can include still photography shoots, commercials, print advertisements, or social media content creation. You may work alongside child models or other family members to portray realistic family scenarios. Work assignments can vary in duration from a few hours to several days, and flexibility, punctuality, and the ability to take direction from creative teams are important for success in this field.

What is a mom model?

A Mom Model is a professional model who represents real-life mothers in advertising, fashion, and commercial projects. Brands hire Mom Models to showcase maternity wear, family-oriented products, or lifestyle campaigns that appeal to parents. These models typically have a natural, relatable appearance and may work with their own children in photoshoots or commercials. The job involves posing for photography, walking in fashion shows, or appearing in video ads to promote family-friendly products. Mom Models can find work through modeling agencies, social media, or direct bookings from brands looking for authenticity in their campaigns.

What job categories do people searching Mom Model jobs in California look for?

The top searched job categories for Mom Model jobs in California are:

Infographic showing various Mom Model job openings in California as of August 2026, with employment types broken down into 2% As Needed, 81% Full Time, 13% Part Time, 2% Temporary, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $40,031 per year, or $19.2 per hour.

Data Scientist

Tarro

San Mateo, CA • On-site

$180K - $250K/yr

Full-time

Re-posted 8 days ago


Job description

About Us:
Here at Tarro we build products that empower small brick and mortar restaurants by liberating them of the operational burden of running their business. We accomplish this by providing a frictionless connection between them and their customers through our multi-product ecosystem offering AI-enabled order taking, delivery enablement, payment solutions, and point-of-sale software. At Tarro, we use a combination of bits (technology) and atoms (people) to solve real world problems facing small business owners.
We obsess over placing our customers first and working backwards from there. When our customers succeed, we succeed. The restaurant industry in the US is over a $1 trillion total addressable market (TAM), but remains relatively underserved by technology. Large chains are able to afford expensive tech that gives them a huge advantage; we believe that small restaurant owners deserve access to the same technologies at an affordable price.
Tarro has been profitable for nearly a decade and seen 5x revenue growth in the past four years. As of our last fundraising round in mid-2022, we were valued at $450M and have since seen substantial growth across customer acquisition, product development and company headcount. Thousands of loyal restaurants have entrusted Tarro with their success, and together we have supported nearly 20 million customers. We are proud to be named one of Built In's top companies to work for in 2023.
To learn more about our culture, values and how you can be a part of helping mom & pop restaurants thrive, please visit us here! Helping restaurants thrive, not just survive.
What we're looking for:
We are looking to hire a Data Scientist to drive impactful insights and build data-driven solutions across multiple Tarro product areas. In this role, you'll analyze complex datasets, develop predictive models, and collaborate closely with product, engineering, operations and a variety of stakeholders. You'll own end-to-end data initiatives, deploy models into production, and play a critical role in shaping Tarro's growth and evolution. As a key member of our growing team, you'll move fast, experiment often, and wear many hats to uncover patterns, optimize decision-making, and solve high-impact business challenges.
What you will accomplish:
  • You will be responsible for owning entire data science model pipelines, from development to support
  • You will help make key decisions on the technologies and tools we use as we scale
  • You will write high quality code for all parts of our data science pipelines.
  • You will work closely with Marketing, Sales, Customer Success, Product and other functions to define and execute on data diagnosis, prediction, prescriptive and experimentation requirements
  • You will create scalable data science models following software and data engineering practices like versioning, CI/CD, workflow orchestration, data ops and ml ops
  • You will implement rigorous code reviews and testing guidelines to ensure that we have a high quality data science products
  • You will create and improve our data science CI/CD pipeline to enable high developer velocity
  • You will help in improving the life of independent restaurant owners and ultimately their customers
About you:
  • You have Bachelors in Computer Science or Engineering, Statistics, or equivalent experience.
  • You have 3+ years of ELT/ETL, data exploration, transformation and building production models.
  • You have 3+ years working with cloud databases, such as Snowflake, Redshift or similar
  • Practical experience with statistical testing (p/t/z tests, power analysis), time series, regression/classification, clustering, and NLP.
  • You have experience with programming languages such as Python and its usage for data processing, making API calls along with Advanced SQL
  • You have built with at least one of OpenAI/Anthropic/Google/OSS (Llama/Mistral), using embeddings, RAG (vector DB + hybrid search + re-ranking), prompt engineering, function/tool calling, JSON-schema outputs, and evaluation frameworks (e.g., prompt/unit tests, hallucination checks).
  • You have exposure to MLflow or equivalent for experiment tracking/model registry; data & model versioning; orchestration (Dagster/Airflow); containerization (Docker) and monitoring (latency, cost, quality)
  • You have exceptional product sense, communication and bias to ship
Bonus Points:
  • You have experience with dbt, Dagster, MLflow/DVC, Weights & Biases, or Feast/feature stores.
  • You are obsessed with data and patterns to solve business problems.
  • You will be jumping in deep into a new territory for the business, and you have a strong hunger to learn along with us.
  • You got Restaurant tech or marketplace/logistics experience; you're customer-obsessed and love turning noisy operational data into outcomes.

The base salary range for this role is $180,000 - $250,000 USD.