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

Spokeo

Data Engineering Manager

Pasadena, CA · Remote

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 ...

Headspace

Manager, Data Analytics

Santa Monica, CA · On-site +1

$158K - $224K/yr

Bachelor's degree or foreign equivalent in Computer Science, Statistics, Mathematics, Business ... R, Looker, Tableau, Statistics, Amplitude, Domo, CoreMetrics, Google Analytics, and Excel ...

EDO

Data Engineer

Los Angeles, CA · On-site +1

$120K - $160K/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 ...

TSMG

AI/ML Data Contributor

Los Angeles, CA · Remote

Projects may vary in scope and format, offering both remote and in-person opportunities (such as ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

TSMG

AI/ML Data Contributor

Los Angeles, CA · Remote

Projects may vary in scope and format, offering both remote and in-person opportunities (such as ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

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 ...

Catasys Health

Data Architect- REMOTE

Santa Monica, CA · On-site +1

$71.50 - $92/hr

Bachelor's degree in Computer Science or "STEM" majors (science, technology, engineering, or math) * 5 or more years of data architecture experience * Excellent communication both written and verbal

Catasys Health

Data Architect- REMOTE

Santa Monica, CA · Remote

$71.50 - $92/hr

Bachelor's degree in Computer Science or "STEM" majors (science, technology, engineering, or math) * 5 or more years of data architecture experience * Excellent communication both written and verbal

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All JobsData Science R JobsRemote Data Science R JobsRemote Data Science R Jobs in Hawthorne, CA

Remote Data Science R information

See Hawthorne, CA salary details

$38.1K

$124.8K

$199.8K

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

As of Jun 16, 2026, the average yearly pay for remote data science r in Hawthorne, CA is $124,784.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,100.00 and $138,300.00 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 are Remote Data Science R jobs?

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 Scientist, 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 are the most commonly searched types of Data Science R jobs in Hawthorne, CA? The most popular types of Data Science R jobs in Hawthorne, CA are:
What are popular job titles related to Remote Data Science R jobs in Hawthorne, CA? For Remote Data Science R jobs in Hawthorne, CA, the most frequently searched job titles are:
What cities near Hawthorne, CA are hiring for Remote Data Science R jobs? Cities near Hawthorne, CA with the most Remote Data Science R job openings:
Remote Data Science R jobs near you
Data Engineering Manager

Data Engineering Manager

Spokeo

Pasadena, CA • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago

Job description

About Spokeo:

Spokeo is a people intelligence platform that helps over 18 million monthly visitors reconnect with friends, reunite with families, and build trust in new relationships. Thousands of companies also trust Spokeo’s 60 billion public records to improve customer research, help verify information, and prevent fraud.

Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 years. It has earned recognition from Comparably as a Best Company for Compensation, Employee Happiness, Perks and Benefits, Support for Women, Work-Life Balance, and CEO Leadership.

About this Opportunity

Spokeo is seeking a Data Engineering Manager to help build a state-of-the-art analytics platform. As a Data Engineering Manager, you will report directly to our Director of Data Engineering and lead a cross-functional team of data engineers to deliver high-quality, scalable data solutions that meet our data, reporting, and analytics needs. You will provide leadership and technical skills to champion and implement data governance, data integrity, data engineering standards, data integration, and QA best practices. You will partner closely with our Product Owners to understand requirements, provide technical guidance to the team, and ensure the timely delivery of quality solutions.

What you’ll do:

  • Lead and manage data engineers to build data solutions for our business intelligence needs

  • Lead a cross-functional team in building a state-of-the-art data analytics platform

  • Collaborate with data scientists, analysts, product managers, and executives to understand and fulfill our data needs

  • Lead database development, data pipeline, integration, ETL, modeling, and data architecture using AWS technologies

  • Define and manage SLA’s for all data sets and reporting processes

  • Develop software engineering best practices, guidelines, procedures, and repeatable and scalable frameworks

  • Document, automate, and enforce data quality, data integrity, and QA best practices

What you’ve done:

  • 7+ years of experience in Business Intelligence and Data Warehousing

  • 5+ years of experience with cloud solutions (AWS, Azure)

  • 5+ years of experience with big data technologies (Spark, Hadoop, MapReduce, Hive, Kafka)

  • 5+ years of experience with data pipelines orchestration tools like Airflow.

  • 2+ years of experience managing data engineering teams, providing technical guidance, and mentoring data engineers.

  • Expertise in data lakes, warehouses, modeling, ETL, and big data platforms.

  • Familiarity with MLOps to help design, automate, and streamline the entire lifecycle of ML models.

  • Expertise in RDBMS, SQL, query optimization, and security

  • A Bachelor’s degree in Computer Science, Information Management, or a related field

  • Attention to detail, excellent problem-solving ability, and strong communication skills


Working at Spokeo

Our mission is to advance transparency, and to achieve that goal, we rally around six core values: listening with empathy, understanding the why, clarifying with data, innovating to learn, collaborating to achieve, and insisting on quality.


As a remote-first company, we are able to hire team members residing in the following US states: AZ, CA, CO, FL, GA, KY, MD, MI, MO, NJ, NV, NC, PA, SC, SD, TX, VA, WA, or WY.

In addition to a highly competitive base salary, our generous benefits include:

  • annual bonus program

  • stock options

  • 401K matching

  • 100% medical/dental/vision coverage

  • unlimited PTO

  • mental health resources

  • paid home office equipment

  • fitness reimbursements

  • support paying for courses

  • and more

We extend written offers to candidates who successfully complete their selection process. Offers will depend on several factors, including, but not limited to, marketplace competition, job leveling, experience, and skills.

Privacy Notice for Candidates: https://www.spokeo.com/recruiting-policy

Spokeo is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. Spokeo fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best products, and be relevant in a rapidly changing world.

Recruiters or staffing agencies: Spokeo is not obligated to compensate any external recruiter or search firm who presents a candidate or their resume or profile to a Spokeo employee without 1) a current, fully executed agreement on file, and 2) being assigned to the open position (as a search) via our applicant tracking solution.

#LI-Remote