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Remote Data Science Jobs in Berkeley, CA (NOW HIRING)

Parafin

Data Scientist

San Francisco, CA · Remote

The Data Science TeamOur Impact Data is core to Parafin's mission to grow small businesses. Our platform partnerships and portfolio provide rich insight into SMB financial health, allowing us to ...

Deloitte

AI and Data Science Engineer III

San Francisco, CA · On-site +1

$134K - $162K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We ...

Discord

Data Scientist, Analytics

San Francisco, CA · Remote

$160K - $180K/yr

As a member of the Data Science & Analytics team, you will help Discord achieve its mission of making it easier and more fun for people to talk and hang out before, during, and after playing games.

6sense

Sr. Data Scientist

San Francisco, CA · Remote

$162K - $238K/yr

Strong foundation in Machine Learning, Statistics, and Applied Data Science. * Experience with ... remote Notice of Collection and Use of Personal Information for California Residents: California ...

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 ...

Nextdoor

Data Scientist - Search

San Francisco, CA · On-site +1

The Data Science group is made up of people from a diverse set of backgrounds and perspectives, trained in fields as wide-ranging as economics, psychology, geography, physics, statistics, and ...

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 ...

SupportFinity

Junior Data Scientist

San Francisco, CA · Remote

$10K - $12K/yr

... science and machine learning. • Enjoys solving challenging problems while keeping a friendly and approachable attitude. • Adept at visualizing data with tools like Tableau or matplotlib to tell ...

Figma

Data Scientist

San Francisco, CA · On-site +1

Partner with Product, Engineering, Design, Research, Sales, Marketing, or Finance to drive impact We'd love to hear from you if you have: * 4+ years of experience in Analytics, Data Science, or a ...

Figma

Data Scientist, Marketing

San Francisco, CA · On-site +1

... Data Science team and drive how we measure and optimize the impact of our global brand investments. In this role, you'll partner closely with Brand Marketing, Creative, Media, and Research teams to ...

Tempus

Data Scientist II, Outcomes Research

Redwood City, CA · On-site +1

$100K - $150K/yr

Advanced degree (Master's with 2+ years experience or equivalent) in data science, bioinformatics ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Eight Sleep

Data Scientist, Growth

San Francisco, CA · On-site +1

... of data science experience with demonstrable impact on business-critical forecasting and ... Employees approved for remote work must perform their duties from a single, company-approved based ...

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All JobsData Science JobsRemote Data Science JobsRemote Data Science Jobs in Berkeley, CA

Remote Data Science information

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

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

Can a data scientist work fully remote?

Yes, many data scientists work fully remote, especially in companies that prioritize flexible work arrangements. Remote data science roles often require strong communication skills, proficiency with collaboration tools, and the ability to work independently on projects using programming languages like Python or R. However, some positions may require occasional in-person meetings or on-site presence depending on company policies.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Will AI replace data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not eliminate the need for human expertise in interpreting results, designing models, and making strategic decisions. Data scientists will continue to be essential for developing complex algorithms, understanding business context, and ensuring ethical use of AI tools. Skills in programming, statistical analysis, and machine learning remain critical for the profession's evolving landscape.

What Are the Qualifications to Get a Remote Data Science Job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables, optimize models, and prioritize tasks for efficiency.
More about Remote Data Science jobs
What are the most commonly searched types of Data Science jobs in Berkeley, CA? The most popular types of Data Science jobs in Berkeley, CA are:
What are popular job titles related to Remote Data Science jobs in Berkeley, CA? For Remote Data Science jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Berkeley, CA look for? The top searched job categories for Remote Data Science jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Remote Data Science jobs? Cities near Berkeley, CA with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Berkeley, CA as of June 2026, with employment types broken down into 2% As Needed, 69% Full Time, 26% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.
Data Scientist

Data Scientist

Federal Acquisition Service

San Francisco, CA • On-site, Remote

$108K - $172K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 5 days ago

Job description

Summary
As a Data Scientist, you will serve as a subject matter expert and advisor in the highly technical and specialized area of data science.
Location of position: Office of Acquisition Solutions Development (ASD) within Federal Acquisition Service (FAS)
We are currently filling two vacancies, but additional vacancies may be filled as needed.
Learn more about this agency
Duties
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  • Serves as an expert Data Scientist leading the development, management, control, coordination, and execution of assigned data science requirements, which requires technical expertise across the data life cycle (e.g., data collection, ingestion, storage, modeling, access, integration, analysis, and decision support).
  • Applies advanced programmatic techniques and statistical methodologies using analytic software to strategically prepare, cleanse, and engineer features from complex and often imperfect datasets, establishing best practices for data quality and readiness.
  • Responsible for aggregating, collating, and analyzing data from associated databases, including, but not limited to the development, implementation, and updating of data extraction queries, data mining and developing strategies, action plans, data mart and data queries modification and maintenance, and quality control and validation of collected data.
  • Provides ongoing consultation and instruction to organizational functional area users on information systems, databases, and data accessing techniques, search and query strategies, processing and storage utilization efficiencies, database testing, and data privacy protection procedures.
  • Designs presentations and interpretations of analytical outputs tailored to specific audiences including the use of interactivity and narrative storytelling with data where appropriate.

Requirements
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Conditions of employment
  • US Citizens and National (Residents of American Samoa and Swains Island)
  • Meet all eligibility criteria within 30 days of the closing date
  • Register with Selective Service if you are a male born after 12/31/1959

If selected, you must meet the following conditions:
  • Current or Former Political Appointees: The Office of Personnel Management (OPM) must authorize employment offers made to current or former political appointees. If you are currently, or have been within the last 5 years, a political Schedule A, Schedule C or NonCareer SES employee in the Executive Branch, you must disclose this information to the HR Office. Failure to disclose this information could result in disciplinary action including removal from Federal Service.
  • Serve a one year probationary period, if required.
  • Undergo and pass a background investigation (Tier 4 investigation level).
  • Have your identity and work status eligibility verified if you are not a GSA employee. We will use the Department of Homeland Security's e-Verify system for this. Any discrepancies must be resolved as a condition of continued employment.
  • Complete a financial disclosure report to verify that no conflict, or an appearance of conflict, exists between your financial interest and this position.

Qualifications
For each job on your resume, provide:
  • the exact dates you held each job (from month/year to month/year)
  • number of hours per week you worked (if part time).

If you have volunteered your service through a National Service program (e.g., Peace Corps, Americorps), we encourage you to apply and include this experience on your resume.
The GS-13salary range starts at $108,019per year.
If you are a new federal employee, your starting salary will likely be set at the Step 1 of the grade for which you are selected.
All candidates for Data Scientist positions must meet one of the following basic qualification requirements:
A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.
In addition to meeting the basic requirements above, applicants must demonstrate that they have at least one year of specialized experience equivalent to the GS-12 level in Federal service. Specialized experience is defined as:
  • Developing and Constructing data pipelines using Structured Query Language (SQL) and scaling techniques;
  • Applying advanced statistical techniques and programming languages such as R, Python, or SQL to explore/group data, test hypotheses, and predict outcomes; and
  • Utilizing machine learning and artificial intelligence to extract insights from vast, varied, and intricate datasets.

This position has a positive education requirement: Applicants must submit a copy of their college or university transcript(s) and certificates by the closing date of announcements to verify qualifications. If selected, an official transcript will be required prior to appointment.
Education
Note: If you are using foreign education to meet qualification requirements, you must send a Certificate of Foreign Equivalency with your transcript in order to receive credit for that education. For further information, visit: https://sites.ed.gov/international/recognition-of-foreign-qualifications/
Additional information
Candidates will not be hired based on their race, sex, color, religion, or national origin.
Applicants are encouraged to make their resume searchable in their USAJOBS.gov profile. This will allow Federal hiring specialists and hiring managers across agencies to find their resume as part of agency recruitment campaigns or staffing searches.
If you apply to this position and are selected, we will not ask about your criminal history before you receive a conditional job offer. If you believe you were asked about your criminal history improperly, contact the agency or visit GSA's webpage.
Relocation-related expenses are not approved and will be your responsibility.
On a case-by-case basis, the following incentives may be approved:
• Recruitment incentive if you are new to the federal government
• Relocation incentive if you are a current federal employee
• Credit toward vacation leave if you are new to the federal government
Additional vacancies may be filled through this announcement in this or other GSA organizations within the same commuting area as needed; through other means; or not at all.
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Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution.
Benefits
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A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new windowLearn more about federal benefits.
You will have access to many benefits including:
  • Health insurance (choose from a wide range of plans)
  • Life insurance coverage with several options
  • Sick leave and vacation time, including 11 paid holidays per year
  • Thrift Savings Plan (similar to a 401(k) plan)
  • Flexible work schedules
  • Transit and child care subsidies
  • Flexible spending accounts
  • Long-term care insurance
  • Training and development

Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered.

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