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

EDO

Data Engineer

Los Angeles, CA · On-site +1

$120K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

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 ...

Spokeo

Data Engineering Manager

Pasadena, CA · On-site +1

$172K - $206K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 ... Collaborate with data scientists, analysts, product managers, and executives to understand and ...

Recruit Monitor

Remote Data Analyst

Long Beach, CA · Remote

You will design and develop data & analytics solutions using cutting-edge tools to improve data ... Coding with SQL, Hive, Python/R, SAS, VBA, etc. * Demonstrates excellent organizational skills with ...

Spokeo

Principal Product Manager, Data Products

Pasadena, CA · On-site +1

$171K - $207K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 ... A Bachelor's degree in Computer Science, Information Systems, Analytics, Statistics, Applied Math ...

Spokeo

Principal Product Manager, Data Products

Pasadena, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 ... A Bachelor's degree in Computer Science, Information Systems, Analytics, Statistics, Applied Math ...

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 ...

Regard

Data Engineer

Los Angeles, CA · Remote

$160K - $190K/yr

  • Medical

  • Dental

  • Vision

  • PTO

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

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

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

EDO

Senior Data Engineer

Los Angeles, CA · On-site +1

$160K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

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 ...

YO AI Labs

Medical Writer - Remote

Los Angeles, CA · Remote

$50 - $90/hr

Remote Job Type: Contractor Pay: $50-$80/hour Job Overview We are seeking an experienced Medical ... Verify scientific accuracy using source data, TFLs (Tables, Figures, and Listings), and study ...

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All JobsData Scientist R JobsData Scientist R Remote JobsData Scientist R Remote Jobs in La Verne, CA

Data Scientist R Remote information

See La Verne, CA salary details

$37.4K

$122.5K

$196.1K

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

As of Aug 20, 2026, the average yearly pay for data scientist r remote 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 a data scientist R remote?

Data Scientist R Remote jobs are positions where professionals use the R programming language to analyze and interpret complex data, develop statistical models, and generate actionable insights, all while working outside of a traditional office setting. These roles often involve collaborating with teams virtually, cleaning and preparing data, and building predictive models using R and related tools. Remote data scientists leverage cloud-based platforms and communication tools to work effectively from any location. The role typically requires strong analytical skills, proficiency in R, and experience with data visualization and machine learning techniques.

What are the key skills and qualifications needed to thrive as a data scientist R remote?

To thrive as a Data Scientist (R, Remote), you need strong analytical skills, statistical knowledge, and a background in mathematics or computer science, often supported by a relevant degree. Proficiency in R programming, data visualization tools, and familiarity with machine learning libraries are typically required, and certifications like the Microsoft Certified: Azure Data Scientist Associate can be advantageous. Excellent problem-solving abilities, effective communication, and self-motivation are critical soft skills for collaborating remotely and translating data insights into actionable business decisions. These skills enable you to derive meaningful insights from complex data sets, drive data-driven strategies, and work efficiently in a remote team environment.

How does a remote data scientist specializing in R typically collaborate with cross-functional teams?

As a remote Data Scientist with expertise in R, collaboration with cross-functional teams—such as product managers, engineers, and business analysts—is commonly facilitated through virtual meetings, shared documentation, and version control systems like Git. You'll often participate in sprint planning, present data-driven insights, and contribute to collaborative code reviews. Effective communication and proactive sharing of progress or challenges are key to ensuring alignment, especially when working across time zones. Utilizing tools like Slack, Jira, and cloud-based notebooks further streamlines teamwork and maintains project momentum.

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

AspectData Scientist R RemoteData Analyst R Remote
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; proficiency in RBachelor's in Statistics, Mathematics, or related field; proficiency in R
Work EnvironmentRemote, collaborative teams, project-basedRemote, reporting to managers, data reporting tasks
Employer & Industry UsageTech, finance, healthcare, consultingRetail, marketing, finance, healthcare
Common Search & ComparisonYesYes

Data Scientist R Remote and Data Analyst R Remote roles share similar skills in R programming and remote work environments. However, Data Scientists typically handle complex modeling, machine learning, and predictive analytics, requiring advanced statistical knowledge. Data Analysts focus on data reporting, visualization, and descriptive analysis. Both roles are vital across industries, but Data Scientists often require higher-level credentials and experience.

What are popular job titles related to Data Scientist R Remote jobs in La Verne, CA?

For Data Scientist R Remote jobs in La Verne, CA, the most frequently searched job titles are:

What cities near La Verne, CA are hiring for Data Scientist R Remote jobs?

Cities near La Verne, CA with the most Data Scientist R Remote job openings:

Data Scientist R Remote jobs near you

Data Engineer

EDO

Los Angeles, CA • On-site, Remote

$120K - $160K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 6 days ago

Job description

Who We Are
EDO is the TV outcomes company. Our leading measurement platform connects convergent TV airings to the ad-driven consumer behaviors most predictive of future sales. EDO empowers the advertising industry to maximize media impact, optimize creative performance, and know the fair value of every impression - across linear and streaming for an increasingly programmatic world. By combining immediate engagement signals with world-class decision science and vertical AI, EDO equips industry leaders with syndicated, investment-grade data that aligns media to business results - with detailed competitive, category, and historical insights. Leading brands, agencies, networks, streamers, and studios trust EDO's TV intelligence to know what works.
EDO is headquartered in New York City and Los Angeles with an office space in San Francisco. We recognize the benefits of hybrid working, and want to create the best balance to ensure we can continue working together effectively. For those who reside full-time in NYC, SF, or LA: we have a hybrid work policy of three days in the office and two remote work days.
To learn more about the work we do at EDO, please visit EDO Press.
The Role
As a Data Engineer at EDO, you will join a team of talented engineers working closely with Data Scientists to build and scale our next-generation Ad EnGage data pipeline. This pipeline measures and optimizes the effectiveness of advertising by combining and analyzing a wide range of datasets, including advertising occurrence data, outcome data, identity resolution data, and more. Our clients rely on these insights to make critical decisions about their advertising strategy.
You will work with large-scale datasets (hundreds of TBs to petabyte-scale systems) using a modern data stack centered on AWS, Airflow, dbt, and Snowflake. You'll contribute to building reliable, high-quality data pipelines and improving the performance, scalability, and observability of our data platform.
What We Are Looking For
  • 3-6 years of experience as a Data Engineer.
  • Hands-on experience with cloud data platforms (Snowflake or Redshift preferred).
  • Strong understanding of data warehousing concepts and cloud infrastructure (AWS preferred).
  • Experience building and maintaining ETL/ELT pipelines using tools such as Airflow and dbt.
  • Strong SQL skills, including query optimization, data modeling, and working with large datasets.
  • Proficiency in at least one scripting language, preferably Python.
  • Hands-on experience with large-scale, complex data pipelines operating at billions to trillions of rows of data.
  • Ability to work independently on well-scoped projects, collaborate with cross-functional partners, and deliver production-ready solutions.

Compensation and Benefits
EDO offers a competitive compensation package. Components of compensation include:
  • Mid-stage equity and competitive salary
  • Flexible Time Off
  • Medical, dental and vision coverage: EDO provides full coverage for individual medical plans and partial coverage for dependent or family plans.
  • 401(k) plan, FSA, HSA
  • Commuter Benefits
  • When in an office, employee meals, snacks, and more

In compliance with New York and California Pay Transparency Law, the salary range for this position is $120,000 to $160,000 plus equity. We note the salary information as a general guideline only, as actual compensation may vary from posting. We will consider various factors to determine the offer for this role, including the scope and responsibilities of the position, relevant work experience, key skills, training, and business considerations.
EDO is an Equal Opportunity Employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status. All your information will be kept confidential according to EEO guidelines.

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