Xero
Applied Scientist
To make life better for people in small business, their advisors, and communities around the world by rewiring the world of small business by making it seamless, simpler, and smarter
Marketing
Full-time
Office | Melbourne, VIC, Australia
Visa sponsorship · No
Junior · A role for someone with some basic skills, good motivation and ability to learn. Typically 1-2 years of experience is required.
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Why Xero
Xero is a cloud-based accounting software platform for small businesses with over 2.7 million subscribers globally. Through Xero, small business owners and their advisors have access to real-time financial data any time, anywhere and on any device. Xero offers an ecosystem of over 1,000 third-party apps and 300 plus connections to banks and other financial partners. In 2020 and 2021, Xero was included in the Bloomberg Gender-Equality Index and in 2020, Xero was recognised by IDC MarketScape as a leader in its worldwide SaaS and cloud-enabled small business finance and accounting applications vendor assessment.
About the role
As part of a cross-functional team including engineers, marketers and product owners you will build and operate a system that efficiently influences users and drives growth.
What you’ll do - Build statistical, optimization, and machine learning models for the measurement and optimization of marketing - Design and execute marketing experiments and interpret the results for actionable learnings - Understand user behavior and marketing performance in our data and use it to identify opportunities to improve - Present findings to leadership to inform business decisions - Work with partners like Google and Meta to understand their product offerings and help inform how Xero uses them - Collaborate closely with cross-functional partners in marketing, engineering, and product to build our automated, algorithmic, marketing platform Success looks like - Understand the business problems we are trying to solve. Be able to translate between the business context and the technical solution. - Achieve a clearer view of marketing impact to inform the work of marketers and the decisions of business stakeholders. Both overall and at a granular level. - Fit the right solution to each problem—simple where it works, complex where it’s needed. - Increase the efficiency and impact of marketing What you’ll bring with you - Ph.D., M.S., or Bachelors degree in Statistics, Economics, Machine Learning, or other quantitative fields - 2+ yrs Industry experience in a Data Scientist, Applied Scientist, or similar role - Experience in experimental design and analysis - Experience with dashboarding / visualization (e.g. Tableau) - Experience working with big data frameworks (e.g. Hadoop, Spark) - Experience with exploratory data analysis and model building - Knowledge of underlying mathematical foundations of statistics, optimization, economics, and analytics. - Knowledge of experimental design and analysis - Model development with understanding of data and business context - Advanced SQL proficiency - Proficiency in Python or R or similar language - Excellent written and verbal communication and stakeholder management - Excellent judgement, critical-thinking, and decision-making skills
What you'll be responsible for
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Cross-Functional Collaboration
Work with various teams in the organization to achieve a project or goal, including customer journey and customer insights
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Multi-Channel Marketing Campaigns
Develop and execute multi-channel marketing campaigns to achieve specific goals, including awareness, engagement, and leads
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Positioning and Messaging Development
Develop the value positioning of a product and craft compelling messages that convey this positioning across marketing channels
Skills you'll need
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Prioritization
Compares and ranks the relative importance &/or urgency of different tasks to identify the best order of actions
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Decision Making
Considers the costs and benefits of potential actions and determines the most appropriate one
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Learning agility
Identifies and applies strategies to enhance reception, retention and use of newly acquired information, skills, and abilities