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Remote Data Science R Jobs in La Verne, CA (NOW HIRING)

Taboola

Senior Product Analyst

Los Angeles, CA · On-site +1

$101K - $156K/yr

REQUIREMENTS: - Bachelor's degree in Statistics, Data Analysis, Data Science, Applied Mathematics ... Partial remote/hybrid benefit available. ANNUAL PAY RANGE : $101,712 - $156,475 + benefits (Annual ...

Sedgwick

Senior Engineer - LLMOps & MLOps

Los Angeles, CA · On-site +1

$112K - $154K/yr

Data Science Engineering: Support the data science lifecycle by automating feature stores, feature ... remote #LI-TS1 Sedgwickis an Equal Opportunity Employer and a Drug-Free Workplace. If you're ...

Recruit Monitor

Senior Data Analyst / Remote

Los Angeles, CA · Remote

$92K - $116K/yr

Data Analysts support the development and optimization of strategic initiatives by generating ... using R, Python, and other programming languages * Develop technical as well as process-based ...

Qvest US

Manager - Data & Analytics

Los Angeles, CA · On-site +1

Bachelor's degree in engineering, information systems, computer science, business administration ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

Qvest US

Manager - Data & Analytics

Los Angeles, CA · On-site +1

Bachelor's degree in engineering, information systems, computer science, business administration ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

Regard

Data Engineer

Los Angeles, CA · Remote

$160K - $190K/yr

Help optimize data processing workloads and storage patterns to improve performance, scalability, and cost efficiency Minimum Qualifications: * BS in Computer Science, Mathematics, Statistics, a ...

EDO

Senior Data Engineer

Los Angeles, CA · On-site +1

$160K - $190K/yr

By combining immediate engagement signals with world-class decision science and vertical AI, EDO ... remote work days. To learn more about the work we do at EDO, please visit EDO Press . The Role As a ...

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Showing results 41-60

All JobsData Science R JobsRemote Data Science R JobsRemote Data Science R Jobs in La Verne, CA

Remote Data Science R information

See La Verne, CA salary details

$37.4K

$122.5K

$196.1K

How much do remote data science r jobs pay per year?

As of Aug 9, 2026, the average yearly pay for remote data science r in La Verne, CA is $122,509.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,300.00 and $135,700.00 per year, depending on experience, location, and employer.

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

AspectRemote Data Science RRemote Data Analyst
Required SkillsStatistical analysis, R programming, data modeling, machine learningData visualization, basic statistical analysis, Excel, SQL
CertificationsR certifications, data science certificates, possibly advanced degreesData analysis certifications, Excel, SQL courses
Work EnvironmentCollaborative teams, research projects, data science platformsReporting, dashboards, business insights
Industry UsageTech, finance, healthcare, research institutionsMarketing, retail, finance, operations

Remote Data Science R roles focus on advanced statistical modeling and machine learning using R, often requiring specialized certifications and working on complex data projects. Remote Data Analysts typically handle data reporting, visualization, and basic analysis to support business decisions. While both roles involve data handling, Data Science R positions demand deeper technical expertise and programming skills.

What is a remote data science R?

Remote Data Science R jobs are positions that involve using the R programming language to analyze and interpret data, build statistical models, and generate insights, all while working from a remote location. These roles typically require strong skills in data manipulation, visualization, and statistical analysis using R. Professionals in these positions may work for companies in various industries, collaborating with teams online and leveraging cloud-based tools. Remote Data Science R jobs offer flexibility, allowing individuals to work from home or anywhere with a reliable internet connection.

What are the key skills and qualifications needed to thrive as a remote data science R, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, expertise in statistics, programming (Python or R), and typically a degree in data science, computer science, or a related field. Familiarity with data analysis tools, machine learning frameworks (like TensorFlow or scikit-learn), and cloud platforms (such as AWS or Google Cloud) is commonly required. Outstanding problem-solving, self-motivation, and effective virtual communication skills help you excel in remote environments. These abilities are essential for deriving actionable insights from data and collaborating efficiently across distributed teams.

How do remote data science R professionals typically collaborate with cross-functional teams while working from different locations?

Remote Data Science R professionals often use a combination of communication platforms (like Slack, Microsoft Teams, or Zoom) and project management tools (such as Jira or Trello) to stay connected with colleagues in engineering, product management, and business analysis. Sharing code and models through version control systems (like Git) and documenting workflows in shared repositories helps maintain transparency and collaboration. Regular virtual meetings and presentations are crucial for aligning goals, discussing progress, and receiving feedback. This collaborative approach ensures that data-driven insights effectively support organizational objectives, even in a distributed work environment.
What cities near La Verne, CA are hiring for Remote Data Science R jobs? Cities near La Verne, CA with the most Remote Data Science R job openings:
Remote Data Science R jobs near you
Infographic showing various Remote Data Science R job openings in La Verne, CA as of June 2026, with employment types broken down into 1% As Needed, 92% Full Time, 4% Part Time, and 3% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution, with an average salary of $122,509 per year, or $58.9 per hour.

Senior Product Analyst

Taboola

Los Angeles, CA • On-site, Remote

$101K - $156K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 9 hours ago

Job description

Taboola, Inc. seeks Senior Product Analyst in Los Angeles, CA. The Senior Product Analyst is
responsible for independently leading product data analytics and proactively guiding business growth
based on data analysis and statistical research. Specific duties include: (1) Researching and analyzing
large volume data sets and generating conclusions and actionable recommendations; (2) Developing data
models and dashboards and finding creative solutions for new challenges; (3) Serving as the focal point
for all data-related matters; (4) Managing multiple data initiatives and projects on an ongoing and ad-hoc
basis; (5) Defining and analyzing A/B tests to optimize product performance and understand user
behavior; (6) Participating in product-related decisions and identifying opportunities for product
improvements based on data analysis; (7) Working closely with R&D and Product teams across multiple
countries and time zones to understand objectives and create products that contribute to the company's
goals; (8) Leveraging modern analytics and AI-enabled tools to improve the efficiency and scale of
analytical work, including automating workflows and enhancing or developing analytical tools and self-
service solutions that increase the accessibility of insights; (9) Developing and applying product,
analytical, and technical knowledge to work with product management, analytics and algorithm teams,
R&D, policy, and business stakeholders to support analytical initiatives.


REQUIREMENTS:
- Bachelor's degree in Statistics, Data Analysis, Data Science, Applied Mathematics, Industrial
Engineering, Computer Science, or related quantitative field;
- Three years of professional experience in a data analysis, business intelligence, or product
analytics role in a data-rich environment, analyzing large, complex datasets to inform multiple
stakeholders including business and product decisions.
- Three years of hands-on product analytics or data science experience.
- Advanced SQL experience, including work with large-scale or cloud-based data warehouses and
analytical databases (e.g., BigQuery, Vertica, or similar), and proficiency with Python or
comparable analytical programming languages for data analysis and automation
- Hands-on experience with BI and data visualization tools (e.g., including Tableau ), including
dashboard design and development using established analytics and visualization methodologies to
deliver reliable, self-service insights to stakeholders.
- Demonstrated, hands-on experience routinely applying AI-enabled analytics tools to materially
improve analytical workflows and outputs, including independent use of such tools to enhance,
scale, or develop analytical tools, methods, or data products that increase the accessibility and
impact of insights.- Demonstrated ability to lead analytical initiatives, including ownership of a defined analytical or
product domain, metric definition, insight synthesis, and clear communication and presentation of
recommendations to technical and non-technical stakeholders across varying levels of the
organization in global cross-functional environments.

Partial remote/hybrid benefit available.


ANNUAL PAY RANGE: $101,712 - $156,475 + benefits (Annual discretionary bonus, RSUs, and
standard benefits package including medical, dental, vision, 401(k), Flex Time Off, holidays,
life/disability, etc.)

Apply