Data Scientist, Confluence - San Francisco, United States - Atlassian

Atlassian

Verified Company

San Francisco, United States

3 weeks ago

Posted by:

Mark Lane

beBee recruiter

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. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

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 with Product Managers/Researchers/Data Engineers/Marketers/Privacy and Executive teams to drive and influence.

They use 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.

Compensation

Zone A:
$152,200 - $202,900

Zone B:
$137,000 - $182,600

Zone C:
$126,300 - $168,400

This role may also be eligible for benefits, bonuses, commissions, and equity.

Responsibilities:

What you'll do

Collaborate on a variety of product and business problems with a diverse set of crossfunctional partners and become a trusted strategic partner through the structure and clarity of your work.
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 influence roadmaps through insights and recommendations.
Partner with crossfunctional 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.

Qualifications:

Your background

Bachelor's degree or equivalent in a STEM field (e.g. statistics, mathematics, physics, econometrics, or computer science)
2+ Years of Experience in Data Science or related fields
Proficiency in SQL OR another data manipulation programming language (e.g. Python, R)
Experience telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects, Looker)
Ability to craft analysis into wellwritten content

Additional / Desirable Qualifications:

4+ Years of Experience in Data Science or related fields OR 2+ Years of experience in Data Science along with a postgraduate degree or equivalent in a related field
An understanding of the SaaS business model and important metrics