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Remote Data Optimization Jobs in California (NOW HIRING)

EyeUniversal LLC

SEO Specialist (Remote)

San Diego, CA · Remote

Remote SEO Specialist at EyeUniversal LLC EyeUniversal is a Digital Agency based out of Southern ... Collect data and report on traffic, rankings and other SEO aspects * Work with social media and PPC ...

BD&J

SEO Specialist (Remote)

Los Angeles, CA · Remote

$35 - $50/hr

SEO Specialist - REMOTE Based in Los Angeles, BD&J is California's leading personal injury law firm ... data across the web. Responsibilities include: * Take full ownership of the directory management ...

Front Row Group

Senior Manager, SEO, DMS

San Diego, CA · On-site +1

$70K - $80K/yr

... data, creating efficiencies, and looking at every aspect of our client's business from a 360 ... Summer Fridays * Hybrid working schedule (remote + in-office) * ClassPass membership * Client ...

Vaco LLC

Marketing Specialist - Remote

Irvine, CA · Remote

$29 - $31.25/hr

Marketing Specialist Temp-to-hire 100% remote Pay Range: $29-$31.25/hr. The marketing Specialist ... Data, Optimization & Process Improvement Track and analyze campaign performance metrics including ...

Vaco LLC

Marketing Specialist - Remote

Irvine, CA · Remote

$29 - $31.25/hr

Marketing Specialist Temp-to-hire 100% remote Pay Range: $29-$31.25/hr. The marketing Specialist ... Data, Optimization & Process Improvement Track and analyze campaign performance metrics including ...

Federato Technologies

Data Scientist

San Francisco, CA · On-site +1

$160K - $200K/yr

We build software to help large insurance carriers improve their portfolio optimization. Our goal ... This is a remote position, but we do have an office in San Fransisco. You will be the first data ...

Federato Technologies

Data Scientist

San Francisco, CA · Remote

$160K - $200K/yr

We build software to help large insurance carriers improve their portfolio optimization. Our goal ... This is a remote position, but we do have an office in San Fransisco. You will be the first data ...

Firecrawl

Off-Page SEO Specialist

San Francisco, CA · On-site +1

$140K - $180K/yr

San Francisco, CA or Remote (Americas, UTC-3 to UTC-10) Job Type: Full-Time Experience: 5+ years in ... US Citizenship/Visa required About Firecrawl Firecrawl is the easiest way to extract data from the ...

Eitacies Inc

Data Analyst II

Santa Clara, CA · Remote

$60/hr

... Remote PST work Remaining Positions: 1 Duties: * Provide analytic data to support our annual sales planning including quota planning, go-to-market modeling, capacity modeling and optimization

Techoundsllc

Data Engineer

Irvine, CA · Remote

$123K - $148K/yr

This role involves designing, building, and maintaining optimized, highly available data pipelines ... Remote

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.) * Experience ... Remote Support * Guaranteed Regular Salary Reviews * Job Type: W2 or Contract 1099 (full-time - 40 ...

Vurke

Data Platform Engineer

Union City, CA · Remote

$128K - $154K/yr

Remote, USA Job Type: Full-Time Experience Required: 5 to 8 years Eligibility: Male/Female both can ... Troubleshooting * Performance optimization * Documentation * Platform reliability * Cross-team ...

Techoundsllc

Data Engineer - Remote

Aliso Viejo, CA · Remote

$121K - $145K/yr

This role involves designing, building, and maintaining optimized, highly available data pipelines that facilitate deeper analysis and reporting by the Data and Analytics team and support business ...

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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 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.

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
Senior Data Scientist *** Direct End Client ***

Senior Data Scientist *** Direct End Client ***

Projas Technologies, LLC

San Diego, CA • On-site, Remote

Other

Posted 11 days ago

Job description

Job Title: Senior Data Scientist Product & Marketing Analytics

Job Description:
Do you thrive on turning complex data into actionable insights? Are you passionate about influencing product, marketing, and business strategy through data? We re looking for a Senior Data Scientist to join a high-impact team focused on driving top-of-funnel growth for a suite of digital service offerings.

This role sits at the intersection of data science, product strategy, marketing analytics, and customer insights. You will work cross-functionally with Product, Marketing, Sales, Customer Success, Engineering, and Finance teams to uncover new opportunities and implement scalable data-driven solutions that accelerate business growth.

Key Responsibilities:

  • Collaborative Problem Solving: Work closely with stakeholders to identify business problems, formulate hypotheses, and scope data science projects with measurable ROI.

  • Analytics & Business Insights: Analyze large-scale datasets to extract insights that influence product development, marketing campaigns, customer segmentation, and strategic planning.

  • Experimentation & Testing: Design and evaluate A/B tests and multivariate experiments to measure the impact of new features and marketing initiatives.

  • Predictive Modeling: Develop and deploy machine learning models and statistical algorithms to support personalization, targeting, and optimization strategies.

  • Data Visualization & Storytelling: Create intuitive dashboards and reports to track performance metrics and effectively communicate findings to technical and non-technical stakeholders.

  • Data Infrastructure & Quality: Partner with data engineering teams to improve data pipelines, define tracking requirements, and ensure high data integrity.

  • Best Practices & Standards: Promote reproducibility, rigorous testing, and high code quality across the data science organization.

Qualifications:

  • 5 7 years of experience in data science, analytics, or quantitative roles within tech, fintech, SaaS, or digital marketing domains.

  • Proficient in SQL and Python with experience using libraries such as pandas, scikit-learn, statsmodels.

  • Strong statistical background, including A/B testing, causal inference, regression, and uplift modeling.

  • Experience with marketing analytics, funnel optimization, or growth experimentation is a plus.

  • Skilled in data visualization using Tableau, Looker, or similar tools.

  • Proven ability to communicate technical results to executive and non-technical audiences.

  • Bachelor's degree in a quantitative field required; Master's or Ph.D. in Data Science, Statistics, Computer Science, Economics, or related discipline preferred.

  • Comfortable working in cross-functional, matrixed environments.


data science, senior data scientist, product analytics, marketing analytics, A/B testing, SQL, Python, machine learning, data visualization, predictive modeling, business insights, growth marketing, causal inference, SaaS, fintech, customer segmentation, uplift modeling, funnel optimization, dashboarding, experimentation, data storytelling, pandas, scikit-learn, Tableau, Looker, digital marketing, quantitative analysis, remote data science job

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