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Data Scientist R Remote Jobs in California (NOW HIRING)

Fullpower Technologies

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

Fullpower-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless ... Fullpower is seeking a passionate, team-oriented, and self-motivated Data Scientist interested in ...

Asana

Data Scientist

San Francisco, CA · On-site +1

$171K - $230K/yr

The Data Science team at Asana is pivotal in fulfilling our mission by fostering a data-driven ... Experience with MLOps tools (e.g., MLFlow), statistical languages (e.g., R), and distributed data ...

Pinterest

Data Scientist

San Francisco, CA · On-site +1

$101K - $209K/yr

... R) * Excellent communication skills and ability to explain learnings to both technical and non ... LI-REMOTE #LI-NM4 At Pinterest we believe the workplace should be equitable, inclusive, and ...

Vianai Systems

Data Scientist

Palo Alto, CA · On-site +1

$115K - $180K/yr

Our ideal Data Scientist is hands-on, collaborative, self-motivated, and innovative. She or he ... Experience with Machine/Deep Learning software packages such as TensorFlow/MXNet/SparkML/R etc.

Molina Healthcare

Data Scientist

Long Beach, CA · On-site +1

$79K - $172K/yr

Execute data science and statistical analytical experiments methodically to help solve various ... Strong programming skills in languages such as Python and R, and experience with machine learning ...

Figma

Data Scientist

San Francisco, CA · On-site +1

We are looking for an experienced Data Scientist to join our growing data team. At Figma, Data ... Fluency in SQL and proficiency in a scripting language like Python or R * Experience with ...

Federato Technologies

Data Scientist

San Francisco, CA · On-site +1

$160K - $200K/yr

This is a remote position, but we do have an office in San Fransisco. You will be the first data scientist on the team working through and building models from scratch that will be pivotal for our ...

psudo

Remote : OK Job role: As a data analyst, you will be responsible for compiling actionable insights ... Familiarity with R and statistical packages are preferred. * Proven problem solving and debugging ...

Federato Technologies

Data Scientist

San Francisco, CA · Remote

$160K - $200K/yr

This is a remote position, but we do have an office in San Fransisco. You will be the first data scientist on the team working through and building models from scratch that will be pivotal for our ...

Scopely

Associate Data Scientist

Sunnyvale, CA · On-site +1

$174K - $202K/yr

Associate Data Scientist (Niantic, Inc.; Sunnyvale, CA): Analyze and interpret complex datasets to ... R; Statistics; Data Visualization; Data Modeling. Salary: $174,304 to $202,500 per year Job Req. ID ...

Eight Sleep

Data Scientist, Growth

San Francisco, CA · On-site +1

Advanced Python/R skills plus expert SQL - you'll be building production pipelines and complex ... Employees approved for remote work must perform their duties from a single, company-approved based ...

The Voleon Group

Data Scientist

Berkeley, CA · On-site +1

$150K - $190K/yr

As a Data Scientist, you will be responsible for harvesting insights from a complex array of data ... R * Basic software development skills and experience with bash, linux/unix, and git * Ability to ...

Mercor

Chief Data Scientist

San Francisco, CA · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams on data science methodology , statistical inference , and modeling best practices . * Design challenging ...

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Data Scientist R Remote information

What are Data Scientist R Remote jobs?

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.

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 are the key skills and qualifications needed to thrive as a Data Scientist (R, Remote), and why are they important?

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.

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 California? For Data Scientist R Remote jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Scientist R Remote jobs in California look for? The top searched job categories for Data Scientist R Remote jobs in California are:
What cities in California are hiring for Data Scientist R Remote jobs? Cities in California with the most Data Scientist R Remote job openings:
Data Scientist R Remote jobs near you
Data Scientist

Data Scientist

Pinterest

San Francisco, CA • Remote

Other

Posted yesterday

Job description

As a Data Scientist you will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world.

What you'll do

  • Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission - to bring everyone the inspiration to create a life they love
  • Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners
  • Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development
  • Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest

What we're looking for

  • 4+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data
  • Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields
  • Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn
  • A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented output
  • Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R)
  • Excellent communication skills and ability to explain learnings to both technical and non-technical partners
  • A team player who's able to partner with cross-functional leadership to quickly turn insights into actions
  • Bachelor's degree in Computer Science, a related field or equivalent experience

This position is not eligible for relocation assistance.

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