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Remote Business Science Jobs in California (NOW HIRING)

TX Labs

... Science, Engineering, Business, or equivalent experience. Advanced degree is a plus. What We Offer * Competitive salary and equity options. * A flexible work environment with remote work options.

TX Labs

Business Development Manager

San Francisco, CA · On-site +1

... Science, Engineering, Business, or equivalent experience. Advanced degree is a plus. What We Offer * Competitive salary and equity options. * A flexible work environment with remote work options.

Danaher

Principal Clinical Scientist

San Diego, CA · On-site +1

Learn about the Danaher Business System which makes everything possible. Principal Clinical ... Advanced degree in Science, Healthcare, or Regulatory/Clinical Affairs. * Professional ...

Danaher

Principal Clinical Scientist

Los Angeles, CA · On-site +1

Learn about the Danaher Business System which makes everything possible. Principal Clinical ... Advanced degree in Science, Healthcare, or Regulatory/Clinical Affairs. * Professional ...

Swish Analytics

Data Scientist

San Francisco, CA · On-site +1

$150K/yr

... real business needs in sports analytics or sports betting. * Experience in Probability Theory ... Department Data Science Role NFL Team Locations San Francisco, CA - Remote Remote status Fully ...

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All JobsBusiness Science JobsRemote Business Science JobsRemote Business Science Jobs in California

Remote Business Science information

What is the difference between Remote Business Science vs Remote Data Analyst?

AspectRemote Business ScienceRemote Data Analyst
Required CredentialsBachelor's in Business, Data Science, or related fields; often certifications in analytics or data toolsBachelor's in Statistics, Mathematics, or related fields; certifications in data analysis tools
Work EnvironmentCollaborative teams, project-based tasks, often cross-functionalData-focused tasks, reporting, and visualization, often independent or team-based
Employer & Industry UsageBusiness, consulting, tech companies, startupsFinance, healthcare, marketing, tech companies
Common Search & ComparisonRemote Business ScienceRemote Data Analyst

Remote Business Science and Remote Data Analyst roles share similarities in required skills and work environments, but Business Science emphasizes applying data insights to business strategies, while Data Analysts focus on data collection, analysis, and reporting. Both roles are vital in data-driven industries and often overlap in skills and tools used.

What can you do with a remote business science degree?

A remote business science degree prepares individuals for roles in data analysis, business consulting, operations management, and strategic planning. Graduates often work with tools like Excel, SQL, and data visualization software, and may pursue certifications in analytics or project management to enhance their career prospects.

What are popular job titles related to Remote Business Science jobs in California?

For Remote Business Science jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Business Science jobs in California look for?

The top searched job categories for Remote Business Science jobs in California are:

What cities in California are hiring for Remote Business Science jobs?

Cities in California with the most Remote Business Science job openings:

Remote Business Science jobs near you

Sr Scientist, Tech - Science

San Francisco, CA • On-site, Remote

Uber Technologies, Inc.
Ground Public Transportation • 10K+ employees
Learn more about Uber Technologies, Inc.external

Full-time

Retirement

Posted 4 days ago

Uber rating

6.8

Company rating: 6.8 out of 10

Based on 118 frontline employees who took The Breakroom Quiz

4th of 9 rated taxi private hire

Job description

About the role and team 

Working in Science at Uber means solving complex problems in a high-stakes, fast-moving environment. You'll turn massive amounts of unstructured data into focused plans of execution, navigating ambiguity to build technologies that directly influence every decision made in our marketplace. This isn't just about building models; it's about making smart decisions with imperfect information and owning the outcomes in an environment where speed and scale can't be separated.
In this role, you'll be the bridge between technical depth and business impact, solving messy, high-priority problems that don't always have a textbook solution. You'll thrive here if you possess an owner's mindset, stay calm under pressure, and have the grit to drive projects through their entire lifecycle from idea inception to production. We're looking for someone who thinks critically and moves with urgency to shape the future of how people and things move in the real world.
What you'll do 
 

  • Develop data-driven business insights by collaborating across disciplines: product, engineering, and operations to identify growth opportunities and recommend prioritization of high-impact initiatives.

  • Build and scale statistical, optimization, and machine learning models that provide both strategic insights and real-time production enhancements to global products.

  • Design and analyze complex experiments using A/B testing and causal inference to provide results that drive critical decision-making.

  • Unblock technical barriers by driving the creation of logging, metrics, and diagnostic tools that orient teams around data-driven product development.

  • Define how teams measure success by developing robust metrics in close partnership with cross-functional stakeholders to align on long-term impact.

  • Lead through influence by effectively communicating complex technical findings and outcomes to leadership and technical partners.


Basic Qualifications 
 

  • Ph.D., M.S. or Bachelor's degree in Statistics, Machine Learning, Operations Research, Economics, Mathematics, Computer Science, or other quantitative fields.

  • 5+ years of industry experience as an Applied or Data Scientist or equivalent (or 3+ years with a Ph.D.).

  • Proficiency in at least one programming language (eg. R, Python, Java, Ruby, Scala/Spark or Perl).

  • Experience designing experiments and interpreting results across a variety of key performance indicators.


Preferred Qualifications 
 

  • Ph.D. degree in a quantitative field such as Machine Learning, Operations Research, or Statistics.

  • Outstanding communication skills with a track record of influencing leadership and technical teams through storytelling and data-driven insights.

  • Experience leading high-complexity technical projects and substantially influencing the scope and output of others.

  • Proven ability to work efficiently with large-scale datasets (e.g., 100M+ rows) using Spark, Hive, or HDFS.

  • Thought leadership to drive multi-functional projects from initial concept to production.

Ready to Ride?


This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.


You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.


Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.


Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

For New York City, NY-based roles: The base salary range for this role is USD $190,000 per year - USD $211,000 per year.


For San Francisco, CA-based roles: The base salary range for this role is USD $190,000 per year - USD $211,000 per year.


For Seattle, WA-based roles: The base salary range for this role is USD $190,000 per year - USD $211,000 per year.


For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.

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