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Data Science International Remote Jobs in California

Remote : OK Job role: As a data analyst, you will be responsible for compiling actionable insights ... Science), preferably with work experience of over 2-3 years (open to talk to freshers as well)

On-site ( #LI-Onsite ), Hybrid ( #LI-Hybrid ), Remote ( #LI-Remote ) Farmers believes in a culture ... Position requires a Bachelor's degree, or foreign equivalent, in Computer Science, Data Science ...

Data Scientist

San Francisco, CA · On-site +1

$160K - $200K/yr

This is a remote position, but we do have an office in San Fransisco. You will be the first data scientist on the team working through and building models from scratch that will be pivotal for our ...

Data Scientist

San Francisco, CA · Remote

$160K - $200K/yr

This is a remote position, but we do have an office in San Fransisco. You will be the first data scientist on the team working through and building models from scratch that will be pivotal for our ...

We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive ... Visit our PinFlex page to learn more about our working model. #LI-SM4 #LI-REMOTE At Pinterest we ...

Advanced degree (Master's with 2+ years experience or equivalent) in data science, bioinformatics ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

... of data science experience with demonstrable impact on business-critical forecasting and ... Employees approved for remote work must perform their duties from a single, company-approved based ...

Mountain View CA (Remote) Pay Range: $75.00 - $85.00 Per Hour Job Summary: This role involves leveraging data science techniques to enhance CRM and lifecycle marketing programs for a tax preparation ...

Senior Data Scientist

Mountain View, CA · On-site +1

$161K - $274K/yr

D. in Data Science, Computer Science, Statistics, or a related quantitative field, plus 5+ years of ... Work personas (flexible, remote, or required in office) are categories that are assigned to ...

Senior Data Scientist

Mountain View, CA · On-site +1

$161K - $274K/yr

D. in Data Science, Computer Science, Statistics, or a related quantitative field, plus 5+ years of ... Work personas (flexible, remote, or required in office) are categories that are assigned to ...

... science, data engineering, or applied data role, ideally with exposure to messy, real-world or ... moving, remote environment with ambiguous, evolving priorities Salary Range: Salary ranges are ...

Showing results 41-60

Data Science International Remote information

What is a data science international remote job?

A Data Science International Remote job involves analyzing and interpreting complex data sets to help organizations make data-driven decisions, while working from a location outside the employer's country. This role typically requires strong skills in statistics, programming, and data visualization, and may involve collaborating with global teams across different time zones. Remote data scientists often use tools like Python, R, and SQL, and must be adept at communicating insights clearly to both technical and non-technical stakeholders. The international aspect adds the opportunity for cross-cultural collaboration and exposure to diverse data challenges.

What are the key skills and qualifications needed to thrive as a data scientist working internationally and remotely?

To excel as a Data Scientist in an international remote role, you need strong expertise in statistics, data analysis, and programming languages such as Python or R, typically backed by a degree in computer science, statistics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and cloud-based platforms like AWS or Google Cloud is essential, and certifications in these areas can be advantageous. Outstanding communication, self-motivation, and cross-cultural collaboration skills help you effectively share insights and work with diverse teams across time zones. These competencies ensure you can independently deliver impactful data solutions while adapting to global team dynamics and remote work challenges.

What are some common challenges faced by data scientists working in an international remote setting?

Data scientists working internationally and remotely often encounter challenges such as collaborating across time zones, which can make real-time communication and meetings difficult. Additionally, remote work may require extra effort to stay aligned with team goals, maintain effective data sharing, and ensure data privacy and compliance with various countries' regulations. Building strong relationships with colleagues may also take more intentional communication and proactive engagement. However, many companies support remote data scientists with robust collaboration tools and flexible work schedules to help mitigate these challenges.

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

AspectData Science International RemoteData Analyst International Remote
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; often some programming skillsBachelor's in Statistics, Mathematics, or related fields; basic data analysis skills
Work EnvironmentRemote, collaborative teams, often with cross-functional departmentsRemote, focused on data reporting and visualization tasks
Employer & Industry UsageTech, finance, healthcare, and consulting firmsBusiness, marketing, finance, and retail sectors

Data Science International Remote involves advanced analytics, machine learning, and programming, while Data Analyst International Remote focuses on data reporting, visualization, and basic analysis. Both roles are remote and in demand across various industries, but Data Science typically requires more technical skills and higher qualifications.

What are popular job titles related to Data Science International Remote jobs in California?

For Data Science International Remote jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Science International Remote jobs in California look for?

The top searched job categories for Data Science International Remote jobs in California are:

What cities in California are hiring for Data Science International Remote jobs?

Cities in California with the most Data Science International Remote job openings:

Infographic showing various Data Science International Remote job openings in California as of August 2026, with employment types broken down into 74% Full Time, and 26% Part Time. Highlights an 100% Remote job distribution.

Data Analyst / Data Scientist

psudo

On-site, Remote

Full-time

Re-posted 26 days ago


Job description

Other locations: Canada, London, India & Australia.


Remote: OK


Job role:

As a data analyst, you will be responsible for compiling actionable insights from data and assisting program, sales and marketing managers build data-driven processes. Your role will involve driving initiatives to optimize for operational excellence and revenue.

Responsibilities:

  • Ensure that data flows smoothly from source to destination so that it can be processed
  • Utilize strong database skills to work with large, complex data sets to extract insights
  • Filter and cleanse unstructured (or ambiguous) data into usable data sets that can be analyzed to extract insights and improve business processes
  • Identify new internal and external data sources to support analytics initiatives and work with appropriate partners to absorb the data into new or existing data infrastructure
  • Build tools for automating repetitive asks so that bandwidth can be freed for analytics
  • Collaborate with program managers and business analysts  to help them come up with actionable, high-impact insights across product lines and functions
  • Work closely with top management to prioritize information and analytic needs

Requirements:

  • Bachelors or Masters in a quantitative field (such as Engineering, Statistics, Math, Economics, or Computer Science with Modeling/Data Science), preferably with work experience of over 2-3 years (open to talk to freshers as well).
  • Ability to program in any high level language is required. Familiarity with R and statistical packages are preferred.
  • Proven problem solving and debugging skills.
  • Familiar with database technologies and tools (SQL/R/SAS/JMP etc.), data warehousing, transformation and processing. Work experience with real data for customer insights, business and market analysis will be advantageous.
  • Experience with text analytics, data mining and social media analytics.
  • Statistical knowledge in standard techniques: Logistic Regression, Classification models, Cluster Analysis, Neural Networks, Random Forests, Ensembles, etc.
Employment Type: FULL_TIME