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Data Science Research Assistant Remote Jobs in Berkeley, CA

The Data Science team partners closely with Product Managers/Engineers/Researchers/Data Engineers/Marketers/Privacy and Executive teams across Atlassian to drive and influence. The team is ...

Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data ... Remote Shift: 1st - Day Valid Driving License: No Hazardous Material(s): N/A Job Posting End Date ...

The Data Science team partners closely with Product Managers/Engineers/Researchers/Data Engineers/Marketers/Privacy and Executive teams across Atlassian to drive and influence. The team is ...

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 ...

... 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 ...

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 ...

Data Scientist

San Francisco, CA ยท 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 ...

The Data Analytics Intern will work primarily with the Data Science team but may require cross ... and research in a clear and effective manner * Assist with LLM and AI innovation initiatives to ...

Showing results 41-60

Data Science Research Assistant Remote information

See Berkeley, CA salary details

$10

$26

$38

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

As of Aug 23, 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:

Principal Data Scientist

Atlassian

San Francisco, CA โ€ข On-site, Remote

Other

Posted 8 days ago


Job description

Overview
Working at Atlassian
Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.
Your future team
You will be part of a world-class Data Science team that leverages data to drive insights about our products and customers. The Data Science team partners closely with Product Managers/Engineers/Researchers/Data Engineers/Marketers/Privacy and Executive teams across Atlassian to drive and influence. The team is responsible for using a variety of analysis and data-science techniques to understand how Atlassian's customers engage with our products and communications and, in doing so, identify, design, and measure the success of product investments.
Responsibilities
In this role, you will:
  • Collaborate on a variety of product and business problems with a diverse set of cross-functional partners and become a trusted strategic partner through the structure and clarity of your work.
  • Apply technical expertise with quantitative analysis, experimentation, and the presentation of data to develop strategies for our business and help solve the business's biggest challenges.
  • Focus on developing hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them.
  • Define, understand, and test opportunities to improve the products and business and influence roadmaps through insights and recommendations.
  • Partner with cross-functional teams to inform, influence, and execute strategy decisions
  • Identify and measure the success of product efforts through forecasting and monitoring of key product metrics to understand trends.
  • You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Atlassian.
  • You will use storytelling techniques to communicate insights broadly, including to company leadership teams.

Compensation
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.
Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
This role may also be eligible for benefits, bonuses, commissions, and equity.
Pay Ranges
In The United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:
Zone A: $206,100 - $269,075
Zone B: $185,490 - $242,168
Zone C: $171,063 - $223,332
Qualifications
Minimum Qualifications / Your background:
  • 8+ Years of Experience in Data Science or related fields
  • Proficiency in SQL AND another data manipulation programming language (e.g Python, R)
  • Expertise at telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects, Looker, etc.)
  • Expertise in applying a broad variety of statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems and a strong sense of when to adapt/combine approaches to suit the problem at hand
  • Experience driving projects or programs which have had proven impact on business strategy and performance through your analytics skills
  • A proven track record for crafting analysis into well-written content
  • Experience advising, presenting to and serving as a thought partner to senior executives

Desirable Qualifications:
  • 10+ Years of Experience in Data Science or related fields
  • An understanding of the SaaS business model and key metrics

Benefits & Perks
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits
About Atlassian
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
To learn more about our culture and hiring process, visit go.atlassian.com/crh
In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.