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

ABC Legal Services

Data Scientist

Los Angeles, CA · On-site +1

$110K - $130K/yr

Proven ability to translate complex data science findings into clear, actionable insights for non-technical stakeholders * Strong self-direction and communication skills suited for a remote work ...

Loaded, LLC

Sr. Data Scientist

Santa Monica, CA · Remote

$110K - $130K/yr

... in data science, machine learning, or advanced analytics roles * Strong experience working with large behavioral datasets and complex data environments * Advanced proficiency in Python or R (or ...

CorVel Corporation

Data Scientist II

Irvine, CA · On-site +1

This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ... Translate business and operational needs into scalable data science solutions and modeling ...

Experian

Senior Data Modeling Analyst - Remote

Costa Mesa, CA · On-site +1

$92K - $116K/yr

Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a related ... Knowledge of statistical models and practical experience in predictive model development (Python, R ...

Tristar Insurance

Data Analyst I

Signal Hill, CA · On-site +1

$114K - $140K/yr

... data science, analytics, or insurance-related projects (academic or professional). * Familiarity with data tools such as SQL, Python, R, or SAS. * Familiarity with Data warehouse techniques and ...

Sparks Wiz Limited

Junior Data Analyst

Los Angeles, CA · On-site +1

$26 - $37/hr

Bachelors degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a ... Skills: * Proficiency in data analysis tools and software (e.g., Excel, SQL, Python, R)

Lorven Technologies

Data Engineer

Los Angeles, CA · On-site +1

$123K - $148K/yr

California - Remote Duration: 6+ Months Contract The Senior Data Engineer is responsible for ... Requirements: * Bachelor's degree in computer science, information systems, data science ...

York Risk Services

Data Engineer AI

Los Angeles, CA · On-site +1

$123K - $148K/yr

You will be responsible for the "heavy lifting" required to fuel Data Science models and AI ... LI-TS1 #remote Sedgwickis an Equal Opportunity Employer and a Drug-Free Workplace. If you're ...

Sedgwick

Data Engineer AI

Los Angeles, CA · On-site +1

$123K - $148K/yr

You will be responsible for the "heavy lifting" required to fuel Data Science models and AI ... LI-TS1 #remote Sedgwickis an Equal Opportunity Employer and a Drug-Free Workplace. If you're ...

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All JobsData Science R JobsRemote Data Science R JobsRemote Data Science R Jobs in Los Angeles, CA

Remote Data Science R information

See Los Angeles, CA salary details

$40.4K

$132.3K

$211.7K

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

As of Jul 12, 2026, the average yearly pay for remote data science r in Los Angeles, CA is $132,252.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $146,500.00 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 Los Angeles, CA? The most popular types of Data Science R jobs in Los Angeles, CA are:
What are popular job titles related to Remote Data Science R jobs in Los Angeles, CA? For Remote Data Science R jobs in Los Angeles, CA, the most frequently searched job titles are:
What job categories do people searching Remote Data Science R jobs in Los Angeles, CA look for? The top searched job categories for Remote Data Science R jobs in Los Angeles, CA are:
What cities near Los Angeles, CA are hiring for Remote Data Science R jobs? Cities near Los Angeles, CA with the most Remote Data Science R job openings:
Remote Data Science R jobs near you

Director / Senior Manager, Data Science

Athena LLC

Los Angeles, CA • On-site, Remote

Full-time

Posted 8 days ago

Job description

About Athena
At Athena, we empower possibility through transformative delegation. True leaders know where they want to go-and we help them get there. By pairing exceptional Executive Assistants with driven client members, and continuously enhancing that partnership through Human + AI innovation, we help our members achieve 10x more leverage, time, and impact.
We are on a mission to build the world's most advanced delegation platform-leveraging AI and human collaboration to redefine how complex work gets done.
Role Overview
We are seeking a Director / Senior Manager of Data Science to lead Athena's data strategy and enable data-driven decision-making across the organization. This leader will define our data vision, align initiatives with business goals, and manage a team of data scientists and analytics engineers to deliver business analysis and innovative AI/ML solutions that drive measurable impact.
You will set the strategic direction for data and AI, oversee project execution from ideation to deployment, and collaborate with senior leadership to embed data-centric thinking across the company. This role requires a blend of strategic foresight, hands-on technical expertise, and exceptional leadership.
Key Responsibilities
Strategic Leadership
  • Develop and execute an enterprise-wide data strategy aligned with business objectives.
  • Define key performance metrics to measure the impact of data initiatives.

Team Leadership & Development
  • Lead and mentor a team of data scientists and analytics engineers, fostering innovation, growth, and cross-functional collaboration.
  • Build a high-performance, diverse, and agile data organization.

Project Oversight
  • Manage the full lifecycle of data science projects-from research and model development to production deployment.
  • Ensure consistent quality, scalability, and integration of solutions into business processes.

Technical Expertise
  • Provide thought leadership in advanced analytics, statistical modeling, and machine learning.
  • Guide the design and implementation of ML models, AI systems, and data-driven applications.

Business Partnership
  • Partner with C-level executives and business leaders to identify high-impact opportunities for AI and analytics.
  • Translate complex data insights into actionable business recommendations and measurable outcomes.

Innovation & Best Practices
  • Stay current with emerging technologies in ML, GenAI, and data engineering.
  • Champion best practices in data governance, quality, and ethical AI.
  • Cultivate a data-driven culture and promote evidence-based decision-making throughout the organization.

Qualifications
Leadership & Vision
  • Proven success leading high-performing data science teams and setting strategic direction in fast-paced environments.

Technical Proficiency
  • Expertise in Python and open-source data science tools (e.g., Jupyter, R, SQL, Hadoop, Spark, TensorFlow, Keras, PyTorch, Scikit-learn).
  • Ability to evaluate and apply cutting-edge ML/AI techniques to real-world business problems.

Business Acumen
  • Strong understanding of business analytics supporting business stakeholders making decisions.
  • Proven ability to translate complex analytical insights into tangible business impact.

Communication & Influence
  • Exceptional ability to present technical and strategic insights clearly to both technical and executive audiences.

Education & Experience
  • Bachelor, Master or Ph.D. in a quantitative discipline (Data Science, Computer Science, Statistics, or related field).
  • Extensive experience leading data science initiatives, with a track record of delivering measurable business outcomes.

Apply