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Hourly Data Optimization Jobs in California (NOW HIRING)

Senior Data Analytics Developer

La Mirada, CA ยท On-site

$109K - $146K/yr

Determine the optimal data architecture to ensure seamless data integration, distribution, and ... Position Hiring Range The hiring pay range provides a good faith estimate of the salary or hourly ...

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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 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 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 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 cities in California are hiring for Hourly Data Optimization jobs?

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

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 / Senior Data Scientist

Fairygodboss

San Francisco, CA โ€ข On-site

$124.10 - $271/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Job description

About the Team

The Analytics team is looking for experienced Data Scientists and Senior Data Scientists to guide measurement, strategy, and tactical decision-making across the company across a variety of teams and levels. Data Scientists at DoorDash work to uncover insights and turn them into relevant recommendations, driving decisions for the entire organization. Analytics is integral to all operational areas at DoorDash.

Teams You Can Apply To
  • Consumer & Growth
  • Business Operations
  • Dasher & Logistics
  • Customer Experience & Integrity
  • Merchant, Ads & Sales
  • New Verticals
  • International Data Science
About the Role

As a Data Scientist at DoorDash, you'll use your quantitative background to mentor other scientists and dive into large datasets to guide decisionโ€‘making. We solve a multitude of exciting challenges including customer acquisition, fraud and support, marketing, balancing supply and demand, new city launches, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos, and have experience using analytics to affect revenue, growth, operations or beyond, weโ€™re looking for someone like you.

Responsibilities
  • Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business.
  • Build fullโ€‘cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools.
  • Work with and mentor junior analysts on how to use more advanced methods and solve challenges.
  • Produce recommendations and use statistical techniques and hypothesis testing to validate your findings.
  • Provide insights to help business and product leaders understand marketplace dynamics, user behaviors, and longโ€‘term trends.
  • Identify and measure levers to help move essential metrics and make recommendations.
  • Work backwards from understanding and sizing problems to ideating solutions.
  • Report against our goals by identifying essential metrics and building executiveโ€‘facing dashboards to track progress.
  • Collaborate with engineering to implement, document, validate, and monitor our logging.
Requirements
  • A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain.
  • 2+ years of experience in data analytics, consulting, or a related role.
  • Experience working with funnel optimization, user segmentation, cohort analyses, time series analyses, regression models, etc.
  • Expertise in SQL queries, ETL, A/B Testing, and statistical analysis (e.g., hypothesis testing, experimentation, regressions) with packages such as Matlab, R, SAS or Python.
  • Proficiency in one or more analytics & visualization tools (e.g., Chartio, Looker, Tableau).
  • The insight to take ambiguous problems and solve them in a structured, hypothesisโ€‘driven, dataโ€‘supported way.
Notice for NYC & Remote Applicants

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only.

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for inbound from Augustโ€ฏ21โ€ฏ2023 through Decemberโ€ฏ21โ€ฏ2023 and resumed use on Juneโ€ฏ29โ€ฏ2024.

Compensation

The successful candidateโ€™s starting pay will fall within the pay range listed below and is determined based on jobโ€‘related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employeeโ€™s work location. Ranges are marketโ€‘dependent and may be modified in the future.

  • The national base pay ranges for this position within the United States, including Illinois and Colorado.
  • $124,100โ€“$182,500 USD
  • $152,000โ€“$223,500 USD
  • $184,300โ€“$271,000 USD

In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.

Benefits

DoorDash cares about you and your overall wellโ€‘being. Thatโ€™s why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g., Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, familyโ€‘forming assistance, and a mental health program, among others.

  • For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year.
  • For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week).
About DoorDash

At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of usersโ€”from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling doorโ€‘toโ€‘door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.

DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. Weโ€™re committed to supporting employeesโ€™ happiness, healthiness, and overall wellโ€‘being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.

Our Commitment to Diversity and Inclusion

Weโ€™re committed to growing and empowering a more inclusive community within our company, industry, and cities. Thatโ€™s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

Statement of Nonโ€‘Discrimination

In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on โ€œprotected categories,โ€ we also strive to prevent other subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforceโ€”people who identify as women, nonโ€‘binary or gender nonโ€‘conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differentlyโ€‘abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of nonโ€‘discrimination.

Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.

Accommodation and Accessibility

If you need any accommodations, please inform your recruiting contact upon initial connection.

Legal Information

We used Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the process, we provided Covey with job requirements and candidate submitted applications. We began using Covey Scout for inbound from Augustโ€ฏ21โ€ฏ2023 through Decemberโ€ฏ21โ€ฏ2023, resumed use on Juneโ€ฏ29โ€ฏ2024, and ceased using Covey Scout for inbound on Aprilโ€ฏ30โ€ฏ2026. The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144.

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