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Data Optimisation Jobs in California (NOW HIRING)

Tror AI for everyone

AI/ML Architect

Los Angeles, CA · On-site

$68.75 - $88.25/hr

Data partitioning, file size tuning, and optimization strategies for large-scale pipelines. * Experience handling multi-terabyte structured time‑series workloads. * Ability to distill architectural ...

Worky

3D Engineer

Glendale, CA · On-site

$110 - $190/hr

You'll work across scene features, catalog-driven configuration, and the performance and data-optimization work that makes a field product fast on real tablets. About the role You will join the ...

K2 Space

Senior Application Data Engineer

Los Angeles, CA · On-site

$160K - $200K/yr

Lead data architecture designs, drive data optimization, ensure data integrity and accuracy. * Evaluate and make decisions regarding competing data design tradeoffs. * Advocate, defend and convert ...

Federato Technologies

Data Scientist

San Francisco, CA · Remote

$160K - $200K/yr

... data scientist. Federato is a venture backed company funded by some of the most prominent VC's in ... We build software to help large insurance carriers improve their portfolio optimization. Our goal ...

Federato Technologies

Data Scientist

San Francisco, CA · Remote

$160K - $200K/yr

... data scientist. Federato is a venture backed company funded by some of the most prominent VC's in ... We build software to help large insurance carriers improve their portfolio optimization. Our goal ...

Mindlance

Data Scientist

San Francisco, CA · On-site

Required : • Gurobi Optimization • Developing predictive models in the area of marketing • Understanding business problems and translating it into data mining problems • Applying techniques ...

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All JobsData Optimisation JobsData Optimisation Jobs in California

Data Optimisation information

What is data optimisation?

Data optimisation refers to the process of improving the quality, accessibility, and efficiency of data within an organization. It involves cleaning, structuring, and organizing data so that it can be used more effectively for analysis, decision-making, and business operations. Data optimisation can help reduce storage costs, enhance system performance, and ensure that accurate and relevant data is available when needed. This process often includes data deduplication, compression, and the implementation of best practices for data management.

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

To thrive as a Data Optimisation Specialist, you need strong analytical skills, proficiency in data analysis, and a background in statistics or computer science, often supported by relevant degrees or certifications. Familiarity with data management tools like SQL, Python, Excel, and optimisation platforms such as Google Analytics or Tableau is typically required. Excellent problem-solving abilities, attention to detail, and effective communication are essential soft skills for translating insights into actionable strategies. These skills ensure that data-driven decisions are accurate, impactful, and aligned with business objectives.

What are the most common challenges faced in a data optimisation role, and how can I prepare for them?

One of the main challenges in a Data Optimisation role is dealing with large, complex datasets that may have inconsistencies or missing information. You’ll often need to balance improving data quality with maintaining data integrity and system performance. Collaborating across departments, such as IT, analytics, and business operations, is typical, so strong communication skills are essential. Preparing by learning best practices in data cleaning, ETL processes, and familiarizing yourself with relevant tools will help you succeed and adapt quickly.

What is the difference between Data Optimisation vs Data Analysis?

AspectData OptimisationData Analysis
Primary FocusImproving data processes and system efficiencyInterpreting data to uncover insights
Skills RequiredData management, process improvement, technical skillsStatistical analysis, reporting, critical thinking
Work EnvironmentIT teams, data engineering, system optimizationBusiness units, research teams, analytics departments
CertificationsData management, database certificationsData analysis, statistical certifications

Data Optimisation focuses on enhancing data systems and processes for efficiency, while Data Analysis involves examining data to generate insights. Both roles require strong technical skills, but their objectives differ: one improves data infrastructure, the other interprets data for decision-making.

What are data optimisation jobs?

Data optimisation jobs involve analyzing and improving data quality, structure, and efficiency to support better decision-making and operational performance. These roles often require skills in data analysis, database management, and tools like SQL or data visualization software, with a focus on enhancing data accuracy and accessibility.

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

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

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

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

What cities in California are hiring for Data Optimisation jobs?

Cities in California with the most Data Optimisation job openings:

Data Optimisation jobs near you
Infographic showing various Data Optimisation job openings in California as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Senior Data Scientist, Simulation Capacity Optimization

Waymo

Mountain View, CA • On-site

$213K - $263K/yr

Full-time

Posted 3 days ago

New

Job description

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
Our Simulation team is at the heart of this mission, enabling us to safely and rapidly iterate on the Waymo Driver. We run billions of miles of simulations, creating a massive and complex demand for technical infrastructure resources (CPU, GPU, TPU, Storage).
We are establishing a new team called CORPIO (SimEval Capacity Operations, Resource Planning, Infrastructure Optimization). This team is tasked with building a critical capability for Waymo: data-driven, strategic capacity planning and resource optimization. We are looking for a Quant Software Engineer at the L6 level to bridge the gap between sophisticated mathematical modeling and production-scale infrastructure automation. You will be responsible for building the technical systems that forecast demand, optimize resource allocation, and automate infrastructure management, ensuring our simulation environment is both high-performance and cost-effective.
As a Senior Data Scientist on the CORPIO team, you will:
  • Infrastructure Modeling & Automation: Design and build production-grade systems and pipelines to automate capacity planning, demand management, and quota allocation.
  • Quantitative Forecasting: Implement and maintain sophisticated models for infrastructure demand forecasting, incorporating architectural shifts, peak loads, and time-shifting opportunities.
  • Resource Optimization Algorithms: Develop and deploy algorithms to optimize resource utilization across a heterogeneous fleet (CPU, GPU, TPU) and diverse supply models (on-demand vs. reserved).
  • Data Pipeline Engineering: Architect and maintain robust data pipelines that ingest infrastructure telemetry and demand driver signals to feed forecasting and optimization engines.
  • Outcome Analysis: Build systems to translate resource plans into tangible outcomes (e.g., queue lengths, user demand fulfillment) and develop attribution models for capacity imbalances.
  • Cross-Functional Collaboration: Partner with Simulation, Infrastructure, and Finance teams to translate business requirements into technical specifications and automated solutions.
  • Technical Leadership: Provide technical guidance on the intersection of quantitative modeling and systems engineering, mentoring junior members and influencing the technical roadmap for CORPIO.

You have:
  • Bachelor's degree in a quantitative field (e.g. Statistics, Mathematics, Physics) or equivalent practical experience.
  • 5+ years of industry experience solving data science problems, or a PhD in a quantitative field and 3+ years of industry experience
  • Expertise using advanced statistical methods in an applied setting; familiarity with ML systems/models
  • Strong background in quantitative methods, such as optimization, statistical modeling, or time-series analysis.
  • Demonstrated knowledge of Python/SQL/R data analysis libraries and packages

We prefer:
  • PhD or Master's degree in a quantitative field
  • Experience in Capacity Engineering or Infrastructure Optimization at scale.
  • Familiarity with ML-driven forecasting and optimization techniques.
  • Experience with financial modeling or cost-benefit analysis of technical infrastructure.
  • Experience building automation tools for resource management and quota allocation.
  • Knowledge of simulation workloads or high-performance computing (HPC) environments.

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
Salary Range
$213,000-$263,000 USD

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