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Remote Data Optimization Jobs in California (NOW HIRING)

IDT

Data Scientist

San Jose, CA · Remote

Optimization & Causal Inference: Develop Uplift models to measure the incremental impact of ... Remote work opportunity! * B2B Employment ($, gross). * Stable job with long-term growth ...

Lever Demo 2

Data Engineer

San Francisco, CA · Remote

$134K - $162K/yr

This is a remote position. What's my mission ? Own the BItoolchain : pick, implement and maintain ... Monitor and assess marketing inbound efforts (SEO, natural & paid search, content) Help growth ...

Eight Sleep

Data Scientist, Growth

San Francisco, CA · On-site +1

Marketing spend optimization algorithms that go beyond our current Prophet model, incorporating ... Employees approved for remote work must perform their duties from a single, company-approved based ...

Spokeo

Data Engineering Manager

Pasadena, CA · Remote

Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 ... Expertise in RDBMS, SQL, query optimization, and security * A Bachelor's degree in Computer Science ...

QuickLaunch Analytics

Data Platform Engineer

Santa Cruz, CA · On-site +1

$132K - $158K/yr

... optimization * Build scalable data pipelines and Lakehouse solutionsusing Python, SQL, and ... Remote(USA)or hybrid (Santa Cruz County, CA) Compensation:The estimated base salary range for this ...

DocuSign

Sr. Data Platform Engineer

San Francisco, CA · On-site +1

$134K - $161K/yr

... optimization, and capacity planning for both data and AI workloads * Stay current on Snowflake ... Employee divides their time between in-office and remote work. Access to an office location is ...

Eitacies Inc

Senior Data Engineer

Los Angeles, CA · Remote

$60/hr

Senior Data Engineer (Level II & Level III) Level II is Remote work Level III is Onsite at Los ... optimization, along with strong collaboration across onsite and offshore teams. Key ...

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Remote Data Optimization information

What is a Remote Data Optimization specialist?

A Remote Data Optimization specialist is a professional who works remotely to analyze, refine, and improve data systems and processes for organizations. Their main goal is to enhance the efficiency, accuracy, and usability of data, often by cleaning datasets, streamlining data flows, and implementing best practices for data management. They may use various tools and techniques to ensure data integrity and improve how data is stored, accessed, and utilized. These specialists often collaborate with data analysts, engineers, and business teams to support data-driven decision-making.

What is a data optimization job example?

A data optimization job involves analyzing and improving data quality, structure, and storage to enhance efficiency and accuracy. For example, optimizing database queries or cleaning large datasets using tools like SQL or Python helps organizations make better data-driven decisions.

What is the highest paying job in data?

In data-related fields, roles such as Chief Data Officer, Data Science Director, and Machine Learning Engineer tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with relevant certifications and experience.

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

Remote data optimization professionals often encounter challenges such as coordinating with distributed teams, ensuring data accuracy across different systems, and managing time effectively without in-person supervision. To address these, it's important to establish clear communication channels, use collaborative tools for data sharing and project tracking, and set regular check-ins with team members. Additionally, staying updated on best practices and automation tools can help streamline workflows and enhance data quality, making remote work more efficient and productive.

Is it possible to get a remote job as a data analyst?

Yes, remote data analyst positions are widely available across various industries. These roles typically require skills in data analysis tools like Excel, SQL, or Python, and often involve working with cloud-based platforms or collaboration tools. Many companies offer remote work options for data analysts, especially with experience in data visualization and reporting.

Is 40 too late for data science?

Remote Data Optimization roles often value skills and experience over age, and many professionals transition into data science later in their careers. Learning relevant tools like Python, SQL, and machine learning can help, and continuous education or certifications can improve job prospects regardless of age.

What are the key skills and qualifications needed to thrive as a Remote Data Optimization Specialist, and why are they important?

To excel as a Remote Data Optimization Specialist, you need a solid background in data analysis, strong proficiency in statistics, and experience with optimization techniques, typically supported by a degree in data science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), programming languages (such as Python or R), and database systems is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this role. These competencies are vital for translating complex data into actionable insights and driving efficiency improvements from a remote environment.

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

AspectRemote Data OptimizationRemote Data Analyst
Primary FocusImproving data storage, retrieval, and processing efficiencyAnalyzing data to identify trends and generate reports
Required SkillsData management, database tuning, scriptingData analysis, visualization, statistical skills
CertificationsDatabase certifications, data management credentialsData analysis certifications, SQL proficiency
Work EnvironmentTechnical teams, IT departments, data warehousesBusiness units, marketing, finance teams

Remote Data Optimization specialists focus on enhancing data systems' performance, while Remote Data Analysts interpret data to support decision-making. Both roles require strong technical skills, but their core responsibilities differ significantly, making them distinct career paths within data management and analysis.

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 Remote Data Optimization jobs in California? For Remote Data Optimization jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Data Optimization jobs in California look for? The top searched job categories for Remote Data Optimization jobs in California are:
What cities in California are hiring for Remote Data Optimization jobs? Cities in California with the most Remote Data Optimization job openings:
Remote Data Optimization jobs near you
Infographic showing various Remote Data Optimization job openings in California as of June 2026, with employment types broken down into 50% Full Time, 25% Part Time, and 25% Contract. Highlights an 100% Remote job distribution.
Data Scientist

Data Scientist

IDT

San Jose, CA • Remote

Full-time

Posted 20 days ago

Job description

IDT Corporation is a global communications company founded in 1990 and headquartered in Newark, New Jersey. We are industry leaders in prepaid communication and payment services and one of the largest international voice carriers. We are listed on the NYSE, employ over 1800 people across 20 countries, and have over $1.5 billion in revenues.

IDT is not ”another big IT corporation”— we encourage and support in-house entrepreneurs in developing their ideas into business actions.

We are looking for a highly technical Data Scientist to join our established Analytics department. This is a modeling-heavy role focused on building high-performance, reproducible machine learning systems that drive core business decisions. You will join an existing Analytics and Data Science department, and partner with IDT’s new AI Lab to push models into production.

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Responsibilites:
  • Production-Grade Modeling: Design, develop, and maintain reproducible machine learning models for production environments.
  • Behavioral Forecasting: Build advanced models to predict user engagement patterns, including retention and activity frequency.
  • Optimization & Causal Inference: Develop Uplift models to measure the incremental impact of business interventions.
  • Recommendation Systems: Improve and scale next-best-action (NBA) engines to enhance personalized user experiences.
  • Experimental Design: Lead the statistical design and analysis of A/B testing to validate model performance and business hypotheses.


Requirements
  • Experience: 3+ years of professional experience in Data Science, with a deep understanding of Supervised/Unsupervised learning including Regression, Boosting, Clustering, and related frameworks.
Core Stack:
  • Python: Advanced use of Pandas, Numpy, and Scikit-learn for complex feature engineering, model selection, and pipeline optimization.
  • SQL: Proficiency in querying and structuring data from large-scale databases.
  • Visualization: Ability to leverage Tableau to communicate complex analytical results through interactive dashboards and data storytelling.
  • Education: Bachelor’s degree in a quantitative field (Computer Science, Statistics, Mathematics, or related).


What we offer:
  • Remote work opportunity!
  • B2B Employment ($, gross).
  • Stable job with long-term growth perspective.
  • Competitive salary with annual performance review.
  • Really good hardware.
  • An exciting and challenging job with talented people around.
  • Continuous learning and career growth opportunities.
  • Compensation for professional training, seminars, and conferences.
  • Referral program - get rewarded for helping us grow the team with talented people.
  • Company-supported English classes to enhance your professional growth.


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We may use artificial intelligence (AI) tools to support parts of the hiring process, such

as reviewing applications, analyzing resumes, or assessing responses. These tools

assist our recruitment team but do not replace human judgment.

PLEASE SUBMIT CV IN ENGLISH.

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