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Data Scientist R Remote Jobs in California (NOW HIRING)

Data Scientist, Technical Lead

Berkeley, CA · On-site +1

$210K - $260K/yr

As a Technical Lead - Data Science, you will provide technical direction and management fora team ... Familiarity with data tooling and workflows (e.g., SQL, Pandas, R, Airflow), with enough fluency to ...

Data Scientist

Santa Clara, CA · On-site +1

$170K - $190K/yr

Forward Networks seeks a pragmatic, end-to-end Data Scientist who can operate across the full data ... Bay Area preferred (HQ in Santa Clara), but open to the right remote candidate. Salary Range: The ...

Sr. Data Scientist

San Jose, CA · On-site +1

$158K - $218K/yr

Description The Sr. Data Scientist in the Research and Development (R&D) group at Align works ... Proficiency in Python and/or R for data analysis, modeling, and analytics workflows * Experience ...

The Sr. Data Scientist in the Research and Development (R&D) group at Align works closely with our ... Proficiency in Python and/or R for data analysis, modeling, and analytics workflows * Experience ...

Senior Data Scientist

San Mateo, CA · On-site +1

$170K - $210K/yr

Role Overview We are seeking a Senior Data Scientist to contribute to Marketing Data Science at ... Mondays and Fridays remote. * Ability to travel up to 10% of the time for partner meetings, events ...

We combine cutting edge data science, machine learning, AI, and deep clinical expertise to ... Proficiency with R, Python (scikit-learn, pandas, numpy), and SQL * Experience working cross ...

Demonstrated computational skills using R and SQL, specifically applied to large-scale healthcare ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Tennis Data Scientist

San Francisco, CA · On-site +1

$135K - $190K/yr

Data Science is at the core of our business, so this team has true ownership and impact over ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

Sr. Data Scientist

San Francisco, CA · Remote

$162K - $238K/yr

The Opportunity We're looking for a Senior Data Scientist (IC4) to join our growing AI and Data ... remote Notice of Collection and Use of Personal Information for California Residents: California ...

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

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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 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, Technical Lead

Data Scientist, Technical Lead

The Voleon Group

Berkeley, CA • On-site, Remote

$210K - $260K/yr

Full-time

Posted 19 days ago


Job description

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future.
Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more.
Data is at the heart of everything we do-from modeling and strategy development to production monitoring and compliance. As we expand our data-driven investment initiatives, we are seeking a Technical Lead in Data Science to guide the design, implementation, and evolution of our analytical systems and mentor a growing team of data scientists.
As a Technical Lead - Data Science, you will provide technical direction and management fora team of data scientists working on high-impact problems across trading and research systems. You will be responsible for shaping analytical frameworks, ensuring methodological rigor, and delivering insights that inform business and research decisions. You will collaborate with stakeholders in engineering, research, and leadership while driving innovation and excellence in our data science practice.
Responsibilities
  • Collaborate with Technical Product Owners in Research and Engineering to define priorities, scope solutions, and deliver actionable insights to stakeholders
  • Own investigations of complex production behaviors and design robust methods for identifying, analyzing, and communicating system anomalies
  • Mentor and manage junior and mid-level data scientists; provide architectural oversight for data projects
  • Serve as a technical authority within the data science function, set standards for data quality, statistical rigor, and reproducibility
  • Lead the design, development, and deployment of analytical pipelines to monitor and interpret production behavior across trading and research systems, ensuring its correctness
  • Champion best practices in data governance, tooling, and collaborative development (CI/CD, version control, code reviews)
  • Drive continual growth and learning within the team by onboarding new Data Scientists, growing teams, and fostering a culture of curiosity, collaboration, and applied experimentation

Requirements
  • Master's degree or higher in a quantitative, technical, or analytical field such as Data Science, Statistics, Computer Science, Engineering, Finance, or an MBA with strong analytical training
  • 3+ years of experience managing data scientists, including responsibility for performance development, technical direction, and project execution
  • Demonstrated ability to lead cross-functional data initiatives, translate business objectives into analytical goals, and ensure timely delivery
  • Strong understanding of data science fundamentals, including statistical analysis, data preparation, root cause investigation, and the proven ability to guide others' work in these areas
  • Familiarity with data tooling and workflows (e.g., SQL, Pandas, R, Airflow), with enough fluency to review and support technical contributors effectively
  • Basic software development skills and experience with bash, linux/unix, and git
  • Experience communicating complex findings to executive and technical stakeholders, including presenting insights, tradeoffs, and recommendations
  • Track record of establishing scalable methodologies, driving technical standards, and fostering collaboration in fast-paced, analytically rigorous environments

Preferred Qualifications
  • Experience building or growing high-performing data science teams in production-aware or high-stakes settings
  • Exposure to financial markets, trading systems, or quantitative research environments.
  • Familiarity with production monitoring systems, data quality pipelines, or analytics platform development
  • 7+ years of experience managing data scientists
  • Experience managing a large team or multiple teams

"Friends of Voleon" Candidate Referral Program
If you have a great candidate in mind for this role and would like to have the potential to earn $7,500 - $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Voleon Referral Bonus Program.
Equal Opportunity Employer
The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
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About Voleon Group

Sourced by ZipRecruiter

Industry

Investment management and consulting services

Company size

11 - 50 Employees

Headquarters location

Berkeley, CA, US

Year founded

2007