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Remote Data Analyst R Programming Jobs in Walnut Creek, CA

Senior Data Scientist

San Francisco, CA ยท On-site +1

$122K - $228K/yr

Data Analytics & Reporting This is ideally a hybrid role but open to remote Role Overview We are ... Use strong programming skills to prepare complex datasets (structured, semistructured, unstructured ...

Build analytical infrastructure, including reusable code, templates, and workflows that improve ... Demonstrated computational skills using R and SQL, specifically applied to large-scale healthcare ...

Data Engineer

Emeryville, CA ยท Remote

$132K - $159K/yr

TITLE: DATA ENGINEER LOCATION: 100% remote Skillsets/experience: * Engineer background * Google Applications/Analytics experience required * Google Search console experience required * Google Tag ...

... analysis, Singular Value Decomposition etc.) * Optimization (Linear programming, Stochastic ... Remote Support * Guaranteed Regular Salary Reviews * Job Type: W2 or Contract 1099 (full-time - 40 ...

Background in data-driven product analytics or developer tools - understanding of how DS ICs work with PMs and EMs and driving alignment on requirements * Strong bias to action, self-motivation and ...

Data Scientist

San Francisco, CA ยท On-site +1

$110K - $150K/yr

As a Data Scientist you\'ll work within cross-functional delivery teams alongside other analysts, engineers, and product managers in discovering data insights to help improve healthcare. This role ...

Data Scientist

San Francisco, CA ยท On-site +1

$110K - $150K/yr

As a Data Scientist you'll work within cross-functional delivery teams alongside other analysts, engineers, and product managers in discovering data insights to help improve healthcare. This role can ...

Data Scientist

San Francisco, CA ยท On-site +1

$110K - $150K/yr

As a Data Scientist you'll work within cross-functional delivery teams alongside other analysts, engineers, and product managers in discovering data insights to help improve healthcare. This role can ...

Remote/Hybrid Brief Overview of the Our Client is seeking a highly skilled Data Scientist to ... analytics techniques. Skills: * Advanced proficiency in Python and R for statistical programming ...

Chief Data Scientist

San Francisco, CA ยท Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams on ... Design challenging data science tasks and write accurate, well-structured analytical solutions.

Data Scientist

San Francisco, CA ยท Remote

$209K/yr

... Analytics, Data Engineering and others. The results of your work will influence and uplevel our ... R) * Excellent communication skills and ability to explain learnings to both technical and non ...

Data Scientist

San Francisco, CA ยท On-site +1

$101K - $209K/yr

... Analytics, Data Engineering and others. The results of your work will influence and uplevel our ... R) * Excellent communication skills and ability to explain learnings to both technical and non ...

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Remote Data Analyst R Programming information

See Walnut Creek, CA salary details

$37.7K

$91.5K

$150.6K

How much do remote data analyst r programming jobs pay per year?

As of Jul 9, 2026, the average yearly pay for remote data analyst r programming in Walnut Creek, CA is $91,517.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,200.00 and $107,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Data Analyst specializing in R Programming, and why are they important?

To thrive as a Remote Data Analyst specializing in R Programming, you need strong statistical analysis skills, proficiency in R, and a background in mathematics, statistics, or a related field. Experience with data visualization tools, databases (such as SQL), and familiarity with data science platforms or certifications like the Data Science Professional Certificate are commonly required. Effective communication, problem-solving abilities, and self-motivation are crucial soft skills for excelling in remote and collaborative environments. These skills ensure accurate data-driven insights, efficient workflow, and successful teamwork across distributed teams.

How does a Remote Data Analyst specializing in R Programming typically collaborate with team members across different locations?

As a Remote Data Analyst focused on R Programming, collaboration is often facilitated through digital communication tools such as Slack, Zoom, and project management platforms like Jira or Trello. Analysts regularly share scripts, data visualizations, and reports using version control systems like Git, ensuring code transparency and reproducibility. Team meetings and code reviews are scheduled to align on project goals, troubleshoot challenges, and maintain data integrity. Building strong communication skills and documenting code thoroughly are essential for effective teamwork in a remote environment.

What is the difference between Remote Data Analyst R Programming vs Remote Data Analyst Python?

AspectRemote Data Analyst R ProgrammingRemote Data Analyst Python
Required SkillsProficiency in R, data visualization, statistical analysisProficiency in Python, data manipulation, machine learning
Work EnvironmentRemote, data-focused roles in research, healthcare, financeRemote, data-driven roles in tech, e-commerce, finance
Common CertificationsR certifications, data analysis coursesPython certifications, data science courses

Both roles involve remote data analysis but differ mainly in programming language expertise. R-focused analysts excel in statistical analysis and visualization, often in research or healthcare sectors. Python analysts are versatile in data manipulation and machine learning, commonly working in tech or e-commerce. Understanding these differences helps job seekers target roles aligned with their skills and industry preferences.

What is a Remote Data Analyst R Programming?

A Remote Data Analyst R Programming is a professional who analyzes and interprets data using the R programming language while working from a remote location. Their primary responsibilities include collecting, cleaning, and visualizing data, as well as performing statistical analyses to help organizations make data-driven decisions. These analysts often collaborate with teams online and use R to automate processes, generate reports, and create predictive models. Remote work allows them flexibility and access to a wider range of employers, while R provides powerful tools for handling complex data tasks.
What are the most commonly searched types of Data Analyst R Programming jobs in Walnut Creek, CA? The most popular types of Data Analyst R Programming jobs in Walnut Creek, CA are:
What are popular job titles related to Remote Data Analyst R Programming jobs in Walnut Creek, CA? For Remote Data Analyst R Programming jobs in Walnut Creek, CA, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst R Programming jobs in Walnut Creek, CA look for? The top searched job categories for Remote Data Analyst R Programming jobs in Walnut Creek, CA are:
What cities near Walnut Creek, CA are hiring for Remote Data Analyst R Programming jobs? Cities near Walnut Creek, CA with the most Remote Data Analyst R Programming job openings:
Infographic showing various Remote Data Analyst R Programming job openings in Walnut Creek, CA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $91,517 per year, or $44 per hour.

Senior Data Scientist

BMO Capital Markets

San Francisco, CA โ€ข On-site, Remote

$122K - $228K/yr

Full-time

Medical, Life, Retirement

Re-posted 13 days ago


Job description

Application Deadline:

07/17/2026

Address:

180 Montgomery St.

Job Family Group:

Data Analytics & Reporting

This is ideally a hybrid role but open to remote

Role Overview


We are looking for a Senior Data Scientist with a strong cando mindset, proven ability to ship productiongrade models, and passion for solving ambiguous business challenges. This role blends deep technical expertise with business acumen, product thinking, and strong storytelling skills. You will drive endtoend delivery of Data & AI solutions-from problem framing and data acquisition to model development, deployment, and ongoing optimization-while influencing stakeholders across the organization.

Key Responsibilities

Model Development & Delivery

  • Apply advanced analytics, machine learning, deep learning, and AI methodologies to build predictive models and intelligent automation systems that deliver measurable business impact.
  • Own the full model lifecycle: data exploration, modeling, validation, deployment, monitoring, and continual improvement.
  • Diagnose and resolve model performance issues; implement scalable, reliable processes for ongoing model operations.
  • Use strong programming skills to prepare complex datasets (structured, semistructured, unstructured) and build reproducible pipelines.

Business Impact & Storytelling

  • Translate complex analytical findings into clear, actionable insights that influence decisionmaking at all levels.
  • Present recommendations in a compelling narrative that resonates with both technical and nontechnical stakeholders.
  • Lead discovery sessions to clarify business needs, define success metrics, and design analytical approaches that support business strategy.

Innovation & Best Practices

  • Drive innovation in Data & AI through new techniques, experimentation frameworks, and reusable analytical assets.
  • Establish and promote best practices in model development, MLOps, governance, and data quality.
  • Stay current on emerging trends, regulations, and technologies; provide guidance on how to leverage them within the organization.

Leadership & Collaboration

  • Serve as a subject matter expert for stakeholders across the enterprise.
  • Partner with crossfunctional teams-including Engineering, Product, and Business-to deliver solutions that scale.
  • Lead or contribute to strategic initiatives, roadmaps, and business cases that support the organization's data and AI vision.
  • Mentor and guide other data scientists; contribute to internal training, tools, and knowledgesharing.

Execution & Change Leadership

  • Manage complex, ambiguous problems by structuring analytical approaches and selecting appropriate modeling techniques.
  • Lead change management and communication efforts associated with analytics initiatives.
  • Implement processes and controls that ensure highquality, consistent delivery of analytical work.

Qualifications

  • 7+ years of relevant experience in data science, machine learning, or applied analytics.
  • Advanced degree (PhD preferred) in Computer Science, Engineering, Statistics, Mathematics, Physics, or related quantitative field-or equivalent experience.
  • Proven track record of shipping models to production and maintaining them at scale.
  • Expertise in machine learning and deep learning algorithms and frameworks.
  • Proficiency in Python and SQL; experience with R, SAS, or other analytical tools is a plus.
  • Experience with distributed computing technologies (Hive, Hadoop, Spark) and cloud ML platforms (AWS SageMaker, Azure ML, etc.).
  • Strong communication, storytelling, and influence skills; able to drive alignment across diverse groups.
  • Demonstrated ability to operate in ambiguity, make data-driven decisions, and solve complex, open-ended problems.
  • Experienced collaborator with deep cross-functional partnership skills and ownership mindset.

Salary:

$122,400.00 - $228,000.00

Pay Type:

Salaried

The above represents BMO Financial Group's pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.

BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit:https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.

To find out more visit us at http://jobs.bmo.com/us/en

BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.

BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to BMOCareers.Support@bmo.com and let us know the nature of your request and your contact information.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.