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Hourly Data Optimization Jobs in California (NOW HIRING)

Netflix

Data Scientist (L5) - Ads

Los Gatos, CA

Your team will be at the forefront of developing and implementing advanced optimization algorithms ... Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation ...

Netflix

Data Scientist (L5) - Ads

Los Gatos, CA · On-site

Your team will be at the forefront of developing and implementing advanced optimization algorithms ... Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation ...

Figure

Helix Data Creator

Los Angeles, CA · On-site

$33/hr

This is a full-time 6 month fixed-term position, paid hourly. It's a strong entry point into ... Master new physical tasks quickly and find the optimal way to perform them * Embrace constructive ...

Figure

Helix Data Creator

Los Angeles, CA · On-site

$33/hr

This is a full-time 6 month fixed-term position, paid hourly. It's a strong entry point into ... Master new physical tasks quickly and find the optimal way to perform them * Embrace constructive ...

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Hourly Data Optimization information

What is an hourly data optimization?

An Hourly Data Optimization job involves analyzing and improving data processes on an hourly basis to ensure optimal performance and efficiency. Professionals in this role often monitor data flows, identify bottlenecks, and implement solutions to enhance data accuracy and speed. They may also use specialized software or algorithms to automate data optimization tasks and support business decision-making. This job is common in industries that rely on real-time data, such as e-commerce, logistics, and digital marketing.

What are the key skills and qualifications needed to thrive as an hourly data optimization specialist, and why are they important?

To thrive as an Hourly Data Optimization Specialist, you need strong analytical abilities, proficiency in data management, and a background in mathematics, statistics, or a related field. Familiarity with data analytics tools such as SQL, Excel, and business intelligence platforms, along with certifications in data analysis or optimization, is often required. Attention to detail, problem-solving skills, and effective communication help professionals excel in interpreting data trends and collaborating with teams. These skills are crucial for driving continuous improvements and ensuring data-driven decisions that enhance organizational efficiency.

What are some common challenges faced by professionals in hourly data optimization, and how can they be addressed?

Professionals in Hourly Data Optimization often encounter challenges such as managing large volumes of real-time data, ensuring data accuracy, and quickly identifying actionable insights under tight deadlines. To address these, it is important to leverage automation tools, maintain clear documentation, and collaborate closely with data engineers and analysts. Regular communication with stakeholders also helps prioritize optimization tasks and align efforts with business goals, ensuring that improvements have a measurable impact.

What is the difference between Hourly Data Optimization vs Data Analyst?

AspectHourly Data OptimizationData Analyst
CredentialsTypically requires data management or analytics certificationsOften requires a degree in data science, statistics, or related fields
Work EnvironmentProject-based, often freelance or contract rolesFull-time, office or remote corporate setting
Industry UsageUsed in marketing, e-commerce, and digital advertisingCommon across finance, healthcare, and business intelligence
Search & Comparison IntentFocuses on optimizing data for specific tasks on an hourly basisAnalyzes data to generate insights and reports

Hourly Data Optimization involves short-term, task-specific data work often on an hourly basis, while Data Analysts typically handle broader data analysis projects within organizations. Both roles require analytical skills, but their scope and work environment differ significantly.

What are the most commonly searched types of Data Optimization jobs in California?

The most popular types of Data Optimization jobs in California are:

What are popular job titles related to Hourly Data Optimization jobs in California?

For Hourly Data Optimization jobs in California, the most frequently searched job titles are:

What job categories do people searching Hourly Data Optimization jobs in California look for?

The top searched job categories for Hourly Data Optimization jobs in California are:

What cities in California are hiring for Hourly Data Optimization jobs?

Cities in California with the most Hourly Data Optimization job openings:

Hourly Data Optimization jobs near you
Infographic showing various Hourly Data Optimization job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Scientist (L5) - Ads

Netflix

Los Gatos, CA

Full-time

Medical, Life, Retirement, PTO

Re-posted 22 days ago

Netflix rating

5.8

Company rating: 5.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

70th of 76 rated media

Job description

Netflix is one of the world's leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Role

In April 2022, we introduced a new, more affordable, ad-supported tier for our customers, marking a significant milestone for Netflix. Our focus is now on expanding choices for consumers and providing advertisers with a premium TV brand experience that surpasses traditional linear formats. The challenge ahead involves scaling our ad tech to maximize its impact on our business.At Netflix, the Ads Data Science and Engineering team plays a crucial role in establishing the foundation of our ads business. Our mission encompasses conducting comprehensive analyses, developing analytic tools, and creating predictive models using machine learning, all with the overarching goal of enhancing choices and joy for our members. As a leader in this domain, you'll collaborate closely with partner teams to strategize on overarching business goals. Your team will be at the forefront of developing and implementing advanced optimization algorithms and machine learning models, driving significant enhancements to our advertising systems. With a commitment to analytical rigor, your team will evaluate ideas, dissect problems, build workflows, provide recommendations, and lead end-to-end analytics initiatives in this transformative space.Responsibilities
  • Apply modeling and machine learning techniques to business problems at the intersection of product and data science
  • Autonomously identify and pursue research with significant business impact, and make compelling cases for prioritization and resource allocation
  • Proactively perform data exploration on engagement behaviors to discover future opportunities
  • Collaborate with cross-functional stakeholders from product, engineering, operations, design, consumer research, etc., to develop and deploy models at scale
  • Deliver well-documented datasets, tools, and reports to key technical and business partners
  • Identify, compute and validate the appropriate metrics to measure success in a product area
  • Cultivate strong partnerships with cross-functional stakeholders from product, engineering, operations, design, consumer research, etc.
  • Present your research and insights to all levels of the company
The Ideal Candidate:
  • Demonstrated tenacity, resilience, and leadership experience that enables you to organize and drive cross-functional projects, overcome challenges, and propose solutions. 
  • Be both quantitative and qualitative. You should be able to quickly assess and understand complex systems, but also have high EQ, so that you can be a product ambassador to the rest of the organization, and our Hollywood and global partners. 
  • You are a player-coach. You can develop roadmaps and strategies, but also execute on technical work and ensure that your team produces consistent high quality outputs.
  • Superb communication skills - You must be able to cultivate strong working relationships, communicate effectively, write meticulously, and give outstanding presentations to both technical and creative audiences. 
  • Capacity and passion to translate business objectives into actionable analyses, and analytic results into business and product recommendations 
  • A passion for TV and movies and defining the future of entertainment
Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $170,000 - $720,000. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here.Netflix is a unique culture and environment. Learn more here.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

What Netflix employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Netflix logo

About Netflix

Sourced by ZipRecruiter

Netflix is the world's leading streaming entertainment service with 222 million paid memberships in over 190 countries enjoying TV series, documentaries, feature films and mobile games across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any Internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.

Industry

Arts, entertainment, and recreation

Company size

5,001 - 10,000 Employees

Headquarters location

Los Gatos, CA, US

Year founded

1997

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