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    Senior Data Scientist, Marketing - San Francisco, CA, United States - Trello

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    Description
    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 closely with business teams and executives 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 communications and, in doing so, identify, design, and measure the success of marketing investments.

    Compensation At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. 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: $175,100 - $233,400 Zone B: $157,600 - $210,100 Zone C: $145,300 - $193,800 This role may also be eligible for benefits, bonuses, commissions, and equity.

    Please visit 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.
    • Collaborate on a variety of marketing 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 marketing 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 marketing, quantify new opportunities, identify upcoming challenges, and ensure our marketing resonates with people, businesses, and Atlassian.
    • 5+ 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.)
    • Experience in applying statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems
    • Experience driving projects or programs which have had proven impact on business strategy and performance through your analytics skills
    • Ability to craft analysis into well-written and persuasive content
    Desirable Qualifications
    • 7+ Years of Experience in Data Science or related fields OR 5+ Years of experience in Data Science along with a post-graduate degree or equivalent in a related field
    • An understanding of the SaaS business model and key metrics
    #J-18808-Ljbffr


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