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Senior Remote Data Science Jobs in California (NOW HIRING)

Bachelor's or Master's in Data Science, Computer Science, Statistics, Mathematics, or related field ... Flexible remote work options. * Professional growth in AI/ML and advanced analytics. * Competitive ...

Bachelor's or Master's in Data Science, Computer Science, Statistics, Mathematics, or related field ... Flexible remote work options. * Professional growth in AI/ML and advanced analytics. * Competitive ...

Data Science Manager

Los Angeles, CA · On-site +1

$300K - $400K/yr

As a senior leader on this team, you will be responsible for shaping and realizing that vision ... Hybrid (3 days in office/2 days remote) - New York, NY or Century City, CA What You'll Do

Senior Data Scientist

Mountain View, CA · On-site +1

$204K - $259K/yr

Autonomous driving presents a new paradigm in data science: in addition to leveraging data ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Senior Data Scientist

San Francisco, CA · On-site +1

$204K - $259K/yr

Autonomous driving presents a new paradigm in data science: in addition to leveraging data ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Design, build ... For leveled roles (I, II, III, Senior, Lead, etc.) new hires may be slotted into a different level ...

Senior Data Scientist

San Francisco, CA · On-site +1

$127.50K - $172.50K/yr

Bachelor's degree in data science, statistics, epidemiology, engineering, information science, computer science, OR equivalent technical experience. * Hands-on experience writing Python code ...

THE ROLE At Thrive Market, our ML (Data Science) team drives meaningful impact for both our members ... We're looking for a Senior Data Scientis t to play a critical role within our ML team. In this role ...

THE ROLE At Thrive Market, our ML (Data Science) team drives meaningful impact for both our members ... We're looking for a Senior Data Scientis t to play a critical role within our ML team. In this role ...

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Senior Remote Data Science information

What is the difference between Senior Remote Data Science vs Data Analyst?

AspectSenior Remote Data ScienceData Analyst
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related field; experience with programming languages like Python or RBachelor's in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentRemote, collaborative teams, often involved in complex modeling and predictive analyticsRemote or on-site, focused on data reporting, cleaning, and basic analysis
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Senior Remote Data Science roles typically require advanced technical skills and involve complex modeling, whereas Data Analysts focus on data reporting and visualization. Both roles can be remote and are used across various industries, but Data Analysts generally have less emphasis on machine learning and predictive modeling.

What are the most commonly searched types of Senior Data Science jobs in California? The most popular types of Senior Data Science jobs in California are:
What are popular job titles related to Senior Remote Data Science jobs in California? For Senior Remote Data Science jobs in California, the most frequently searched job titles are:
What job categories do people searching Senior Remote Data Science jobs in California look for? The top searched job categories for Senior Remote Data Science jobs in California are:
What cities in California are hiring for Senior Remote Data Science jobs? Cities in California with the most Senior Remote Data Science job openings:
Senior Data Scientist *** Direct End Client ***

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

Projas Technologies, LLC

San Diego, CA • On-site, Remote

Other

Posted 29 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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