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Data Optimisation Jobs in California (NOW HIRING)

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 ...

Redolent, Inc.

Data Scientist

Sunnyvale, CA · On-site

We use cutting-edge machine learning, data mining, and optimization algorithms on marketing campaign optimization. You'll make an impact by: • Process complicated and large-scale datasets using ...

Voxelcloud

Data Engineer Intern

Los Angeles, CA · On-site

$123K - $148K/yr

The right candidate will be excited by the prospect of optimizing or even re-designing our company's data architecture to support our next generation of products and data initiatives.

Voxelcloud

Data Engineer Intern

Los Angeles, CA · On-site

$123K - $148K/yr

The right candidate will be excited by the prospect of optimizing or even re-designing our company's data architecture to support our next generation of products and data initiatives.

Recentive Analytics Inc.

Data Scientist

San Francisco, CA · On-site

$120 - $150/hr

Data Scientist Department: Engineering Employment Type: Full Time Location: San Francisco ... Develop and deploy models and decision tools that combine analytics, optimization, and business ...

New

BayRock Labs

Principal Data Engineer

Milpitas, CA · On-site

... optimization strategies. Qualifications : Required : • 5-10+ years of hands‑on experience in data engineering or data architecture • Strong expertise in Azure + Databricks ecosystem • Proven ...

Bayrock Labs

Principal Data Engineer

Milpitas, CA · On-site

$80 - $85/hr

Performance tuning, cluster optimization * CI/CD for Databricks workloads Big Data & Processing Frameworks * Apache Spark with advanced PySpark transformations * Structured Streaming & batch data ...

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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.

Data Scientist

Mindlance

San Francisco, CA • On-site

Full-time

Re-posted 3 days ago

Job description

Job Summary:
Mindlance is a national recruiting company which partners with many of the leading employers across the country. They are seeking a Data Scientist to develop predictive models in marketing, understand business problems, and apply advanced analytic techniques to improve campaign performance and content quality.
Responsibilities:
• Developing predictive models in the area of marketing
• Understanding business problems and translating it into data mining problems
• Applying techniques such as clustering, classification and association
• Web analytics, Data mining techniques application for large data.
• The key personnel shall also demonstrate experience using advanced analytic techniques such as modern econometric methods, multivariate statistical analysis, clustering and segmentation, experimental design, optimization and text analytics.
• Predictive models to improve advertiser campaign performance
• Machine learning models for categorizing web pages and content
• Fraud detection & automated ranking content quality
Qualifications:
Required:
• Gurobi Optimization
• Developing predictive models in the area of marketing
• Understanding business problems and translating it into data mining problems
• Applying techniques such as clustering, classification and association
• Web analytics, Data mining techniques application for large data
• Experience using advanced analytic techniques such as modern econometric methods, multivariate statistical analysis, clustering and segmentation, experimental design, optimization and text analytics
• Predictive models to improve advertiser campaign performance
• Machine learning models for categorizing web pages and content
• Fraud detection & automated ranking content quality
Company:
Mindlance is a Staffing and Recruiting company which provides multi-vertical staffing services Founded in 1999, the company is headquartered in Union, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
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About Mindlance

Sourced by ZipRecruiter

Mindlance is a multinational staffing and services firm based in the Greater NYC area. We have 14 offices across the United States, Canada, and India. We match talented people to Fortune 500 and Fortune 1000 companies across industries. We have been in business since 1999 and are recognized by Staffing Industry Analysts (SIA) as one of the fastest-growing U.S. staffing firms. Our rapid growth means more jobs, more projects, and more opportunities for you. Our core philosophy means that you work with an organization that truly values and recognizes you.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Union, NJ, US

Year founded

1999

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