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Remote R Programmer Jobs in San Dimas, CA (NOW HIRING)

Sparks Wiz Limited

Junior Data Analyst

Los Angeles, CA · On-site +1

$26 - $37/hr

Skills: * Proficiency in data analysis tools and software (e.g., Excel, SQL, Python, R ... Knowledge of engineering and consulting industry practices. Working Conditions: * Remote-based with ...

Recruit Monitor

Senior Data Analyst / Remote

Los Angeles, CA · Remote

$92K - $116K/yr

Develop statistical and machine learning models to answer business questions and make predictions using R, Python, and other programming languages * Develop technical as well as process-based ...

NTT DATA Services

Agentic AI Engineer

Los Angeles, CA · On-site +1

NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

ABB

Global Product Manager - Transformers

Anaheim, CA · Remote

If remote, candidates should be located near a major metro area. This role is contributing to the ... Lead crossfunctional execution across engineering, operations, supply chain, and sales to ...

ABB

Global Product Manager - Transformers

CA · Remote

If remote, candidates should be located near a major metro area. This role is contributing to the ... Lead crossfunctional execution across engineering, operations, supply chain, and sales to ...

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Remote R Programmer information

See San Dimas, CA salary details

$80.1K

$124.2K

$151.2K

How much do remote r programmer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for remote r programmer in San Dimas, CA is $124,160.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,100.00 and $139,700.00 per year, depending on experience, location, and employer.

What is a remote R programmer?

A Remote R Programmer is a professional who develops, analyzes, and optimizes data-driven solutions using the R programming language while working remotely. They typically handle statistical modeling, data visualization, and automation for various industries such as healthcare, finance, and research. This role often requires proficiency in R packages, data manipulation, and possibly integration with other tools like SQL or Python. Remote R Programmers collaborate with teams through virtual communication and use cloud-based or local development environments.

What does a remote R programmer do?

A typical day for a Remote R Programmer involves writing and testing R scripts, analyzing large datasets, creating data visualizations, and preparing reports for team review. You may have regular check-ins or stand-up meetings with data scientists, project managers, or stakeholders to discuss project progress and address any technical challenges. Collaboration often occurs via digital communication platforms, with an emphasis on documenting code and sharing updates regularly. The remote nature of the role requires self-discipline, clear communication, and proactive problem-solving to ensure project goals are met efficiently.

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

A Remote R Programmer requires strong proficiency in R programming, data analysis, and statistical modeling, typically backed by a degree in computer science, statistics, or a related field. Familiarity with tools like RStudio, version control systems (e.g., Git), and experience with relevant data visualization or reporting libraries are commonly expected. Excellent problem-solving skills, self-motivation, and effective communication are crucial for remote collaboration and project delivery. These competencies ensure the programmer can independently develop, deploy, and maintain analytical solutions while contributing effectively to distributed teams.

What cities near San Dimas, CA are hiring for Remote R Programmer jobs?

Cities near San Dimas, CA with the most Remote R Programmer job openings:

Remote R Programmer jobs near you

Systems Engineer, Teleoperations & Remote Drive

Harbinger Motors Inc.

Garden Grove, CA • On-site, Remote

Full-time

Posted 27 days ago

Job description

Job Overview

The Systems Engineering team is seeking a versatile Systems Engineer to own the end-to-end definition, integration, and architecture of ADAS features, teleoperation systems for remotely operated military/tactical vehicles, and core Electric Vehicle (EV) platform architectures.

In this role, you will bridge the gap between autonomous perception, remote command teleoperation, and high-voltage EV powertrains. You will lead the systems engineering lifecycle from defining customer use cases and sensor/communication architectures to managing Functional Safety (ISO 26262), cybersecurity, and vehicle-level validation across all Harbinger platforms.

What you will do:

  • Architect Teleoperation & Control Pipelines: Design low-latency teleoperation pipelines, video streaming architectures, and Operator Control Unit (OCU) interfaces for remotely operated and dual-use vehicles.
  • Design Safe Fallback Modes: Define fail-safe and fail-operational fallback behaviors during signal degradation, electronic countermeasures, or high-latency events, embedding core Functional Safety and cybersecurity controls.
  • Decompose Vehicle Requirements: Translate vehicle-level use cases and ADAS feature goals into clear system, component, and interface requirements using our requirement management platform (Flow Engineering).
  • Lead Validation & Track Testing: Define the DVP&R and oversee validation across SIL, HIL, and proving ground track testing to optimize system stability, link reliability, and feature calibration.

Who you are:

  • 5+ years of systems engineering experience in autonomous vehicles (AVs), robotics, Unmanned Ground Vehicles (UGVs), or EV/automotive vehicle platforms.
  • Hands-on background architecting or integrating low-latency teleoperation pipelines, real-time video/telemetry streaming, or Operator Control Unit (OCU) interfaces.
  • Knowledge of vehicle safety standards (e.g., ISO 26262, MIL-STD-882, or UL 4600) and experience designing safe fallback modes for degraded RF, cellular, or high-latency links.
  • Experience with control logic modeling (MATLAB/Simulink, C++, or ROS/ROS2), vehicle network protocols (CAN/Ethernet), and requirement management platforms.
  • Bachelor's degree in Systems, Robotics, Electrical, Mechanical, or Computer Engineering (or equivalent practical experience).

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