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Data Science Research Assistant Remote Jobs in Berkeley, CA

Snorkel AI

Lead Data Scientist

San Francisco, CA · On-site +1

$130K - $200K/yr

The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research ... Critical-path data science projects * 20% : Partnering with Engineers, PMs, DaaS operational leads ...

Federato Technologies

Data Scientist

San Francisco, CA · Remote

$160K - $200K/yr

The initial algorithms used in our product spun out off the founders published research in ... This is a remote position, but we do have an office in San Fransisco. You will be the first data ...

Swish Analytics

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 developing core components of Swish's data products. This position is remote from the USA. Duties:

Biohub

Staff Data Scientist, Imaging

Redwood City, CA · On-site +1

Coordinate Experimental, Data Science, Data Engineering and AI Research teams to translate biological structure into learnable representations-defining priorities and appropriate structures for ...

The Voleon Group

Data Scientist

Berkeley, CA · On-site +1

$150K - $190K/yr

Perform extemporaneous analyses on research and production trading systems with leadership ... Bachelor's degree in a quantitative discipline (statistics, biostatistics, data science, computer ...

Tempus

Scientist II, Translational Research

Redwood City, CA · On-site +1

$100K - $150K/yr

... our Research, Engineering & Data Science teams. Work with Product and Engineering teams to ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

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 ... operations research. We are the mathematical decision scientists for the product development ...

Tempus

Scientist II, Translational Research

Redwood City, CA · On-site +1

$100K - $150K/yr

... our Research, Engineering & Data Science teams. Work with Product and Engineering teams to ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Nash, Inc.

Senior Data Scientist

San Francisco, CA · On-site +1

Experience in logistics, marketplaces, supply chain, operations research, or another domain with complex real-world constraints. * A record of independently taking data science projects from problem ...

Swish Analytics

Data Scientist

San Francisco, CA · Remote

$150K/yr

... science, trading, and data engineering to help develop and maintain trader automation algorithms that will react faster to signals as well as improve model accuracy. This position is remote from the ...

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All JobsData Science Research JobsData Science Research Assistant Remote JobsData Science Research Assistant Remote Jobs in Berkeley, CA

Data Science Research Assistant Remote information

See Berkeley, CA salary details

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How much do data science research assistant remote jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for data science research assistant remote in Berkeley, CA is $26.83, according to ZipRecruiter salary data. Most workers in this role earn between $22.64 and $31.20 per hour, depending on experience, location, and employer.

What is a data science research assistant remote?

A Data Science Research Assistant (Remote) is a professional who supports data scientists and research teams by collecting, cleaning, analyzing, and visualizing data, often from a remote location. Their responsibilities may include assisting with experiment design, performing statistical analyses, preparing datasets, creating reports, and helping to develop or test machine learning models. Working remotely, they utilize collaboration tools and cloud platforms to work efficiently with distributed teams. This role is ideal for individuals with strong analytical skills, programming knowledge (such as Python or R), and an interest in research and data-driven problem solving.

What are the key skills and qualifications needed to thrive as a data science research assistant remote?

To thrive as a Data Science Research Assistant (Remote), a solid background in statistics, programming (Python or R), and data analysis, often supported by relevant coursework or a degree, is essential. Familiarity with data visualization tools (e.g., Tableau), databases (SQL), and platforms like Jupyter Notebook, as well as experience with machine learning libraries, is typically required. Strong problem-solving abilities, attention to detail, self-motivation, and effective remote communication skills make candidates stand out. These competencies are crucial for managing complex data tasks, collaborating with team members virtually, and delivering reliable analytical insights.

What are common challenges faced by remote data science research assistants, and how can they be addressed?

Remote Data Science Research Assistants often encounter challenges such as maintaining clear communication with team members, managing time across different projects, and accessing necessary datasets or computing resources. Overcoming these hurdles typically involves leveraging collaboration tools like Slack or Zoom for regular check-ins, setting clear expectations with supervisors on deliverables, and ensuring secure, remote access to data and software. Proactively seeking feedback and participating in virtual team meetings can help foster a sense of connection and keep projects on track.

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

AspectData Science Research Assistant RemoteData Analyst Remote
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's or Master's in Data Analysis, Statistics, or related field
Work EnvironmentRemote research projects, academic or research institutionsRemote data interpretation and reporting for various industries
Employer & Industry UsageUniversities, research labs, tech companiesBusiness, finance, healthcare, marketing

While both roles involve working with data remotely, Data Science Research Assistants focus on research projects, often in academic or research settings, requiring a strong foundation in data science and statistics. Data Analysts typically analyze and interpret data for business insights across various industries. The roles share similar credentials but differ in their primary focus and work environment.

What are popular job titles related to Data Science Research Assistant Remote jobs in Berkeley, CA?

For Data Science Research Assistant Remote jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Data Science Research Assistant Remote jobs in Berkeley, CA look for?

The top searched job categories for Data Science Research Assistant Remote jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Data Science Research Assistant Remote jobs?

Cities near Berkeley, CA with the most Data Science Research Assistant Remote job openings:

Data Science Research Assistant Remote jobs near you

Lead Data Scientist

Snorkel AI

San Francisco, CA • On-site, Remote

$130K - $200K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 5 days ago

Job description

About Snorkel
At Snorkel, we believe meaningful AI doesn't start with the model, it starts with the data.
We're on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world's largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!
About the Role
This role is hybrid (3 days/week in office) in San Francisco,CA. Our Data & Analytics Platform team recently migrated from Redshift to Snowflake, enabled 100+ users, and centralized all business data in under three months. We are a lean team with a clear remit: ensure a single source of truth for all business data. With company-wide Snowflake adoption complete, we are hiring a Lead Data Scientist to expand our mandate to Generative AI Analytics and Snorkel's highest-leverage data science problems.
This is a senior individual contributor role with no direct reports; just ownership, autonomy, and impact from pioneering new insights and models and building our semantic layer, supply/demand matching algorithms, forecasting models, and other data science foundations that compound.
How you'll allocate your time (estimates subject to change):
  • 40%: Building and maintaining Generative AI Analytics
  • 40%: Critical-path data science projects
  • 20%: Partnering with Engineers, PMs, DaaS operational leads, and Finance
What You'll Do
  • Own Generative AI Analytics: Build and maintain end-to-end infra (semantic layer, LLM tooling, evals, and agents) to analytically empower every team at Snorkel.
  • Protect Quality: Work with Engineering and the Fraud Operations Lead to build, unify inputs for, and deploy fraud detection and contributor quality models.
  • Optimize Marketplace: Architect search, ranking, and recommendation models to match project needs for Expert Contributors across domains and geographies.
  • Improve Forecasting: Build predictive models to help Strategy & Operations and Finance elevate forecast accuracy with signals from across the business.
  • Identify Leverage: Surface the next high-value data science opportunities at Snorkel and build the case for their prioritization with the Head of Data.
  • Advise Leadership: Be a trusted thought partner to the Head of Data and leaders of other teams on data architecture, applied data science, and AI.
Qualifications
  • 5+ years: data science or related experience, with a track record of shipping forecasting, ranking, recommendation, or similar models into production.
  • Tech Stack: SQL, Snowflake or a similar data warehouse, and Python experience.
  • Modern AI Tools: Experience deploying modern AI tools (semantic layers, LLMs, evaluation frameworks) reliably into production.
  • Engineering Collaboration: Proven ability to partner with Engineering teams to bridge the gap from prototype to production system.
  • Agency: Strong track record of impact without a large team or detailed roadmap.
  • 0-to-1 Mindset: Comfortable building foundational systems from scratch in environments where data infrastructure is still maturing.
  • Partnership: Genuinely values engaging technical and operational stakeholders to fully understand a problem and build data-driven solutions.

Bonus Points: Experience with Streamlit, Snowflake Cortex, AI/data labeling, A/B testing, and two-sided marketplace or data product business models.
Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. Snorkel also includes benefits (including medical, dental, vision and 401(k)). All offers include equity compensation in the form of employee stock options. This role is hybrid (3 days/week in office) in San Francisco,CA.
Pay Range $130,000-$200,000
Be Your Best at Snorkel
Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly-offering a unique combination of stability and the excitement of high growth. As a member of our team, you'll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you're looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you're fully supported in building your career in an environment designed for growth, learning, and shared success.
Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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