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Principal Data Scientist, Loom

Atlassian

San Francisco, CAJob$171–269K/yrPosted 2w agoStill listed today

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At a glance

Compensation
$171–269K/yr
Location
San Francisco, CA
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Principal Data Scientist will join Loom Analytics to shape product direction through product strategy, customer insight, and experimentation. The role partners with cross-functional teams to analyze business and product opportunities, test hypotheses, influence roadmaps, and monitor product metrics. It also communicates insights and recommendations broadly, including to company leadership, helping guide product development and business strategy.

Skills & qualifications

RequiredNice to have

Skills

Data ScienceSQL (Programming Language)Python (Programming Language)R (Programming Language)Data VisualizationData AnalysisA/B TestingHierarchical ClusteringBusiness StrategiesData ManipulationStatistical AnalysisRegression AnalysisClusteringData StorytellingBusiness StrategyProject LeadershipWritten CommunicationExecutive AdvisingSaaS Metrics

Qualifications

8+ Years Data Science Experience10+ Years Data Science Experience

Benefits

Medical Insurance

Full 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. About Loom Loom is Atlassian’s async video product — a fast, human way for teams to communicate without another meeting. Instead of typing a long message or scheduling a call, you record a quick video walkthrough, update, or training and share it as a link, and your teammates watch on their own time. Now part of Atlassian, Loom integrates directly into the tools teams already use, syncing into Confluence and powering AI-generated transcripts and summaries through Rovo so no one misses the context. Millions of people already rely on Loom to work together across time zones, and the product is entering an exciting new phase — expanding how async video helps people and AI agents collaborate. Joining the Loom Analytics team means shaping the direction of a product people genuinely love, at the intersection of product strategy, customer insight, and experimentation.

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.

How this job compares

Set against the 5,004 open Data Scientist jobs on Olive Jobs, counted November 5, 2026.

Pay
  • This posting$171–269K/yr
  • California median$156–236K/yr691 salary ranges
  • US median$135–212K/yr3,844 salary ranges

This range's midpoint, $220K, is 10% above the California median midpoint ($200K) — in the middle half of Data Scientist salary ranges in California.

Openings
Olive Jobs lists 829 open Data Scientist jobs in California and 5,004 across the US. 6% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
This posting asks for at least 8 years of experience — more than three in four Data Scientist postings that state a minimum ask for (median 5 years, across 4,308 postings).
Education
2,447 of the 5,004 open Data Scientist jobs (49%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 5, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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