Marketing & Advertising F-1 STEM OPT Sponsorship Jobs in California
Marketing & advertising F-1 STEM OPT sponsorship jobs in California are concentrated among data-driven agencies and tech-integrated brands in Los Angeles, San Francisco, and San Jose. Employers like Google, Adobe, Salesforce, and major media holding companies hire marketing analysts, growth engineers, and marketing technology specialists, roles where quantitative skills and a STEM-designated degree align with OPT eligibility requirements.
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Get Access To All JobsJob Duties:
Own multiple data science projects to deliver end-to-end solutions, including the development of KPIs, new insights through the combination of datasets, and maintenance of ongoing analytics datasets. Collaborate closely with the data science, product, and engineering teams to improve existing product and build new capabilities including automating data-driven tasks, developing algorithms and features to guide optimization and expansion opportunities for the business. Work cross-functionally within the organization to deliver high-impact, integrated business solutions. Specific projects include:
Linear Clearance Prediction: Linear Advertising currently accounts for a large portion of Tatari’s total revenue. As a subject matter expert on the Data Science team for linear clearance campaign management, create and improve the Linear Clearance Predictor that allows Tatari buyers to quickly project how much budget each client will be able to spend. Use predictive modeling, SQL, python, and a machine learning engineering pipeline to deliver this. Enhance this model with additional accuracy enhancements including a price. The model pipeline is set up for ongoing future iterations and improvements that we can continue to make over the long run for our business.
Linear Performance Prediction: In the Linear TV space, both clearance and performance play critical roles in optimizing a clients campaign and allowing them to hit their budget and their efficiency goals. The performance prediction model has been rebuilt and developed on a machine learning pipeline, using SQL and python, and statistical methods. The model is now performing 2x better than historical versions and is set up for future interactions and improvements.
Streaming Performance Prediction: Streaming advertising accounts for a notably growing portion of Tatari’s revenue and it will continue to grow as the industry evolves. The statistical model is developed end-to end using a machine learning pipeline, SQL and python.
Linear and Streaming Planning Engines: Tatari has an engine for both Linear and Streaming TV, in support of our major advertising channels that drive our revenue. These engines use the above mentioned predictive models and optimization methods. They also include data science features like built-in explainability. These products will continue to play a foundational role in the media buying optimization space, and require deep expertise in the underlying models, data, and engineering implementation.
Experience requirement: Two Months Experience in Data Science or Data Analytics
Degree requirement: Master’s Degree in Data Science or a related field.
Skills Required:
- Applying machine-learning techniques to real world problems.
- Using cloud computing tools and storage systems to develop data science solutions.
- Designing relational database models.
- Large-scale data-mining and machine-learning analysis
- Using MapReduce framework.
- Manipulating large data sets.
- Programming in Python for retrieving, searching, and analyzing data from the Web.
Hours: F/T, 40 hours per week
Job Location: 3333 Michelson Dr, Suite 300, Irvine, CA 92612; Hybrid Option: may work from home 2 days/week within commuting distance from company office in Irvine, Los Angeles, San Francisco or New York.
Travel: None.
Contact: Sr. People Ops Manager at vincent.kot@tatari.tv
Job Duties:
Own multiple data science projects to deliver end-to-end solutions, including the development of KPIs, new insights through the combination of datasets, and maintenance of ongoing analytics datasets. Collaborate closely with the data science, product, and engineering teams to improve existing product and build new capabilities including automating data-driven tasks, developing algorithms and features to guide optimization and expansion opportunities for the business. Work cross-functionally within the organization to deliver high-impact, integrated business solutions. Specific projects include:
Linear Clearance Prediction: Linear Advertising currently accounts for a large portion of Tatari’s total revenue. As a subject matter expert on the Data Science team for linear clearance campaign management, create and improve the Linear Clearance Predictor that allows Tatari buyers to quickly project how much budget each client will be able to spend. Use predictive modeling, SQL, python, and a machine learning engineering pipeline to deliver this. Enhance this model with additional accuracy enhancements including a price. The model pipeline is set up for ongoing future iterations and improvements that we can continue to make over the long run for our business.
Linear Performance Prediction: In the Linear TV space, both clearance and performance play critical roles in optimizing a clients campaign and allowing them to hit their budget and their efficiency goals. The performance prediction model has been rebuilt and developed on a machine learning pipeline, using SQL and python, and statistical methods. The model is now performing 2x better than historical versions and is set up for future interactions and improvements.
Streaming Performance Prediction: Streaming advertising accounts for a notably growing portion of Tatari’s revenue and it will continue to grow as the industry evolves. The statistical model is developed end-to end using a machine learning pipeline, SQL and python.
Linear and Streaming Planning Engines: Tatari has an engine for both Linear and Streaming TV, in support of our major advertising channels that drive our revenue. These engines use the above mentioned predictive models and optimization methods. They also include data science features like built-in explainability. These products will continue to play a foundational role in the media buying optimization space, and require deep expertise in the underlying models, data, and engineering implementation.
Experience requirement: Two Months Experience in Data Science or Data Analytics
Degree requirement: Master’s Degree in Data Science or a related field.
Skills Required:
- Applying machine-learning techniques to real world problems.
- Using cloud computing tools and storage systems to develop data science solutions.
- Designing relational database models.
- Large-scale data-mining and machine-learning analysis
- Using MapReduce framework.
- Manipulating large data sets.
- Programming in Python for retrieving, searching, and analyzing data from the Web.
Hours: F/T, 40 hours per week
Job Location: 3333 Michelson Dr, Suite 300, Irvine, CA 92612; Hybrid Option: may work from home 2 days/week within commuting distance from company office in Irvine, Los Angeles, San Francisco or New York.
Travel: None.
Contact: Sr. People Ops Manager at vincent.kot@tatari.tv
Marketing & Advertising Job Roles in California
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Search Marketing & Advertising Jobs in CaliforniaMarketing & Advertising Jobs in California: Frequently Asked Questions
Which marketing & advertising companies sponsor F-1 STEM OPT visas in California?
Technology companies with large in-house marketing divisions are among the most active sponsors in California, including Google, Meta, Adobe, Salesforce, and Oracle. Digital advertising platforms and data-focused agencies headquartered in Los Angeles and the Bay Area also file Labor Condition Applications for marketing analytics, marketing engineering, and programmatic advertising roles. STEM OPT sponsorship is most common where the role requires quantitative or technical skills traceable to a STEM-designated degree program.
Which cities in California have the most marketing & advertising F-1 STEM OPT sponsorship jobs?
San Francisco and the broader Bay Area lead for marketing technology and growth analytics roles, driven by the concentration of enterprise software and ad-tech companies. Los Angeles is the strongest market for advertising, media, and entertainment-adjacent marketing roles, with significant hiring from streaming platforms, digital agencies, and e-commerce brands. San Jose sees demand from semiconductor and cloud companies that hire marketing operations and data analytics specialists. San Diego has a smaller but active cluster in biotech and defense-adjacent marketing roles.
How do I find marketing & advertising F-1 STEM OPT sponsorship jobs in California?
Migrate Mate filters California marketing and advertising jobs by verified STEM OPT sponsorship history, so you can focus on employers who have actively filed for F-1 workers rather than applying broadly and hoping. Search by role type, marketing analyst, marketing engineer, growth analyst, or programmatic specialist, and filter to California locations. Migrate Mate surfaces DOL Labor Condition Application data by employer, giving you a concrete signal of sponsorship activity before you apply.
What types of marketing & advertising roles typically qualify for F-1 STEM OPT sponsorship?
STEM OPT eligibility depends on whether the role is classified under a STEM-designated Standard Occupational Classification code and whether your degree program appears on the STEM OPT designated degree program list maintained by the Department of Homeland Security. In marketing and advertising, roles that consistently qualify include marketing analyst, marketing data scientist, quantitative researcher, marketing engineer, and marketing technology specialist. Roles focused primarily on creative output, account management, or brand strategy without a quantitative technical component are less likely to meet the STEM threshold. Confirm your specific degree and role pairing with your Designated School Official before accepting an offer.
Are there California-specific considerations for F-1 STEM OPT sponsorship in marketing & advertising?
California employers must comply with state labor regulations that sit alongside federal STEM OPT requirements, including prevailing wage obligations under the Labor Condition Application filed with DOL. California's strong data privacy law also creates demand for marketing compliance and analytics roles that involve consumer data, an area where STEM-trained F-1 workers are frequently hired. Employers in regulated industries like fintech or healthcare marketing in California may have additional credentialing or compliance requirements layered on top of standard OPT authorization procedures.