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<h1>Senior Data Scientist, Growth Data Science</h1> <a href="https://careers-americas.icims.com/jobs/16679/senior-data-scientist%2c-growth-data-science/job?mode=apply" target="_blank">Apply for this job</a> 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. <ul> <li>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.</li> <li>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.</li> <li>Focus on developing hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them.</li> <li>Define, understand, and test opportunities to improve the products and business and influence roadmaps through insights and recommendations.</li> <li>Partner with cross-functional teams to inform, influence, and execute strategy decisions</li> <li>Identify and measure the success of product efforts through forecasting and monitoring of key product metrics to understand trends.</li> <li>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.</li> </ul> Minimum Qualifications / Your background: <ul> <li>5+ Years of Experience in Data Science or related fields</li> <li>Proficiency in SQL AND another data manipulation programming language (e.g Python, R)</li> <li>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.)</li> <li>Experience in applying statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems</li> <li>Experience driving projects or programs which have had proven impact on business strategy and performance through your analytics skills</li> <li>Ability to craft analysis into well-written and persuasive content</li> </ul> Desirable Qualifications <ul> <li>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</li> <li>An understanding of the SaaS business model and key metrics</li> </ul> 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: $157,500 - $210,100 Zone C: $145,300 - $193,700 This role may also be eligible for benefits, bonuses, commissions, and equity. Please visit <a href="http://go.atlassian.com/payzones" target="_blank">go.atlassian.com/payzones</a> 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. Our perks &amp; benefits Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit <a href="http://go.atlassian.com/perksandbenefits" target="_blank">go.atlassian.com/perksandbenefits</a>to learn more. 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 <a href="http://go.atlassian.com/crh" target="_blank">go.atlassian.com/crh</a>. <a href="https://careers-americas.icims.com/jobs/16679/senior-data-scientist%2c-growth-data-science/job?mode=apply" target="_blank">Apply for this job</a>

Atlassian

Senior Data Scientist, Growth Data Science

<h2 id="who-we-are">Who we are</h2> <h3 id="about-stripe">About Stripe</h3> Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. <h3 id="about-the-team">About the team</h3> The Optimized Checkout &amp; Link team at Stripe builds best-in-class checkout experiences across web and mobile that delight consumers and streamline checkout flows for merchants. Based across North America, we're a diverse team who are deeply passionate about redefining the payment experience creating outstanding value for merchants, increasing revenue, lowering cost and growing their business. We work on<a href="https://stripe.com/payments/checkout" target="_blank"> Checkout</a>,<a href="https://stripe.com/payments/payment-links" target="_blank"> Payment Links</a>,<a href="https://stripe.com/payments/elements" target="_blank"> Elements</a>,<a href="https://stripe.com/payments/payment-methods" target="_blank"> Payment Methods</a>, and<a href="https://stripe.com/payments/link" target="_blank"> Link</a> – each playing a crucial part in augmenting the economic landscape of the internet. Our days are filled with exciting challenges and collaborative problem-solving as we strive to simplify payment options, create unique business solutions and enhance checkout ease. Join us in crafting the future of digital commerce. <h2 id="what-youll-do">What you’ll do</h2> We’re looking for people with a strong background in data engineering and analytics to help us scale while maintaining correct and complete data. <h3 id="responsibilities">Responsibilities</h3> <ul> <li>Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems </li> <li>Be an advocate for data quality and excellence of our platform. </li> <li>Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve </li> <li>Gather requirements, understand the big picture, create detailed proposals in technical specification documents. </li> <li>Productizing data ingestion from various sources, data delivery to various destinations, and creating well-orchestrated data pipelines. </li> <li>Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts </li> <li>Conduct SQL data investigations, data quality analysis and optimizations. </li> <li>Contribute in peer code reviews, and help the team produce high quality code. </li> <li>Mentor team members by giving/receiving actionable feedback </li> </ul> <h2 id="who-you-are">Who you are</h2> We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. <h3 id="minimum-requirements">Minimum requirements</h3> <ul> <li>Bachelor's degree in Computer Science or Engineering Master’s degree is preferred. </li> <li>Have a strong engineering background and are interested in data </li> <li>5+ years of experience with writing and debugging data pipelines using a distributed data framework (Hadoop/Spark/Pig etc…) </li> <li>Great data modeling skills, database design, relational/non-relational. </li> <li>Very strong SQL proficiency, and preferably SQL query optimization experience. </li> <li>Strong coding skills in Scala or Java preferably for building performance data pipelines. </li> <li>Strong understanding and practical experience with systems such as Hadoop, Spark, Presto, Iceberg, and Airflow </li> <li>Versed in software production engineering practices, version control, code peer reviews, automated testing, and CI/CD. </li> <li>Excellent communication skills. </li> <li>Experience in AWS cloud is preferred. </li> </ul> This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office). Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams. A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently or plan to live. The annual US base salary range for this role is $150,500 - $269,200. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. Office locations New York, South San Francisco HQ, or Seattle Remote locations Remote in United States Team Payments Job type Full time <a href="#">Apply for this role </a>

Stripe

Data Engineer, Optimized Checkout and Link

<h1>Who we are</h1> <h2 id="about-stripe">About Stripe </h2> Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. <h2 id="about-the-teams-multiple-roles-available">About the teams (multiple roles available)</h2> Growth Data Science The Growth Data Science team helps businesses accelerate their journey to accept payments on Stripe, and find the financial products they need to grow their business. We achieve our goals through experimentation, forecasting, attribution modeling, personalization and algorithmic recommendations. We partner with Marketing, Sales and Self-Serve Product teams to develop intelligent data products and insights, and create go-to-market strategies to drive product discovery, adoption and retention. Developer Experience and Platform Product (DEeP) Data Science DEeP is a central infrastructure team that builds platforms that enable teams across Stripe to offer a better user experience. The DEeP Data Science team provides data, metrics and insights to improve key features of the Stripe user experience including the Stripe Dashboard, developer tools, API policies, Stripe Apps, and more. DEeP DS works closely with other functions to build scalable data solutions, inform strategy, provide observability, and run experiments. <h1>What you’ll do</h1> Data Science Managers at Stripe are responsible for the success of their team. You’ll be deeply involved in the modeling and design processes as well as coaching, mentoring, and leading the team. You’ll have a deep understanding of how to drive efficient data science teams and you’ll have a strong user-focus. You’ll be working with data scientists, analysts and engineers on creating technical solutions and communicating effectively across teams and senior leadership. <h2 id="responsibilities">Responsibilities</h2> <ul> <li>Drive the roadmap and priorities for your team, and work with many Stripe leaders across the company to enhance our ability to be data driven. </li> <li>Collaborate with stakeholders across the organization such as engineering, analytics, operations, finance, and marketing. </li> <li>Lead and manage processes to help the team do its best work and engage effectively with the rest of Stripe </li> <li>Manage a high-performing team of data scientists, supporting them to achieve a high level of technical excellence and advance in their careers. </li> <li>Recruit and onboard great data scientists, in collaboration with Stripe’s recruiting team </li> <li>Contribute to broad data science initiatives as a member of Stripe’s data science management team. </li> </ul> <h1>Who you are</h1> We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. <h2 id="minimum-requirements">Minimum requirements</h2> <ul> <li>You have at least 3 years of direct management experience leading data science and ML teams, and 10 years of overall data science experience. </li> <li>You have demonstrated expertise in designing metrics and guiding business decisions with data. </li> <li>You have technical expertise to drive clarity with staff and senior scientists about architecture and strategic modeling decisions. </li> <li>You’ve managed teams that have built and shipped machine learning systems and data products at scale, and have hands-on experience with challenging problems. </li> <li>You work very well cross-functionally, and are able to think rigorously and make hard decisions and tradeoffs. </li> <li>You have clear and persuasive communication skills in writing and verbally. </li> <li>You thrive on a high level of autonomy and responsibility. </li> <li>You foster a healthy, inclusive, challenging, and supportive work environment. </li> </ul> <h2 id="preferred-qualifications">Preferred qualifications</h2> <ul> <li>A PhD or MS in a quantitative field (e.g., Statistics, Operations Research, Economics, Computer Science, Engineering). </li> <li>You are comfortable working with geographically distributed teams </li> <li>Expertise in time series forecasting, predictive modeling, or optimization </li> <li>Expertise in data design and building scalable data architectures </li> </ul> This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office). Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams. A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently or plan to live. The annual US base salary range for this role is $207,800 - $311,600. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. Office locations Chicago, Toronto, New York, or Seattle Remote locations Remote in United States Team Data &amp; Data Science Job type Full time <a href="#">Apply for this role </a>

Data Science Manager

<h1>Principal - Sales Planning &amp; Analytics</h1> <a href="https://globalcareers-atlassian.icims.com/jobs/17042/principal---sales-planning-%26-analytics/job?mode=apply" target="_blank">Apply for this job</a> 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. <ul><li> Some of your responsibilities: <ul> <li>Lead, design &amp; develop the frameworks to model out our expansion &amp; upgrade motions (including additional seat expansion, edition upgrades, price increases)</li> <li>Partner with finance, marketing, product to align on forecasts, assumptions &amp; methodology.</li> <li>Leverage data to surface leading indicators &amp; deep insights that will enable teams to revise strategies &amp; tactics in a timely matter</li> <li>Conduct executive analyses and strategic planning (e.g. QBRs, senior leadership presentations, pipeline &amp; bookings analysis)</li> </ul> Skills and requirements: <ul> <li>5+ years of experience in business strategy, finance, analytics, consulting, data analysis</li> <li>Strong experience with modeling (Google Sheets &amp; Excel), you can work with &amp; build models to forecast out business motions</li> <li>Ability to structure complex, ambiguous problems, derive insights from data, and articulate clearly with diverse teams up to the senior leadership level</li> <li>Good with data management &amp; SQL, you can not only pull data together, but can blend multiple data sources</li> <li>Proactive engagement with the management team to identify, prioritize, develop, and execute a quarterly sales strategy plan</li> <li>Strong presentation skills and ability to influence varying org functions at varying levels of seniority throughout the org; basically you can execute as well as recommend.</li> </ul> </li></ul> 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: $125,600 - $167,400 Zone B: $113,000 - $150,700 Zone C: $104,200 - $138,900 This role may also be eligible for benefits, bonuses, commissions, and equity. Please visit <a href="http://go.atlassian.com/payzones" target="_blank">go.atlassian.com/payzones</a> 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. Our perks &amp; benefits Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit <a href="http://go.atlassian.com/perksandbenefits" target="_blank">go.atlassian.com/perksandbenefits</a>to learn more. 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 <a href="http://go.atlassian.com/crh" target="_blank">go.atlassian.com/crh</a>. <a href="https://globalcareers-atlassian.icims.com/jobs/17042/principal---sales-planning-%26-analytics/job?mode=apply" target="_blank">Apply for this job</a>

Principal - Sales Planning & Analytics

<h1>Manager - Data Science</h1> <a href="https://careers-americas.icims.com/jobs/16928/manager---data-science/job?mode=apply" target="_blank">Apply for this job</a> 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. <h3>Your future team</h3> 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. <h3>In this role, you will:</h3> <ul> <li>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</li> <li>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</li> <li>Focus on developing hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them</li> <li>Define, understand, and test opportunities to improve the products and business and influence roadmaps through insights and recommendations</li> <li>Partner with cross-functional teams to inform, influence, and execute strategy decisions</li> <li>Identify and measure the success of product efforts through forecasting and monitoring of key product metrics to understand trends</li> <li>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</li> <li>You will use storytelling techniques to communicate insights broadly, including to company leadership teams</li> <li>Help structure, build, and grow teams of Data Scientists to deliver strategic impact across product and business areas you support</li> <li>Work with your team to help them grow through coaching in technical, analytical, and soft skills</li> </ul> <h3>Minimum Qualifications / Your background:</h3> <ul> <li>8+ years of experience in analytics or related fields</li> <li>2+ years of experience managing teams of 4+</li> <li>Advanced proficiency in SQL and knowledge of another data science programming language (e.g Python, R)</li> <li>Proficiency in at least one analytics &amp; visualization tool such as Tableau, Mode, Looker</li> <li>Expertise in applying a broad variety of statistical concepts (e.g. regressions, A/B tests, clustering) to business problems and a strong sense of when to adapt/combine approaches to suit the problem at hand.</li> <li>Proven experience influencing business strategy and driving change across organizational boundaries through clear and compelling communication of data-driven insights and analyses</li> </ul> <h3>Desired Qualifications:</h3> <ul> <li>Comfort with structuring and coaching others to work through open-ended business questions through analytics</li> <li>Experience building trusted advisor relationships with senior business leaders.</li> </ul> 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: $205,700 - $274,300 Zone B: $185,200 - $246,900 Zone C: $170,800 - $227,700 This role may also be eligible for benefits, bonuses, commissions, and equity. Please visit <a href="http://go.atlassian.com/payzones" target="_blank">go.atlassian.com/payzones</a> 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. Our perks &amp; benefits Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit <a href="http://go.atlassian.com/perksandbenefits" target="_blank">go.atlassian.com/perksandbenefits</a>to learn more. 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 <a href="http://go.atlassian.com/crh" target="_blank">go.atlassian.com/crh</a>. <a href="https://careers-americas.icims.com/jobs/16928/manager---data-science/job?mode=apply" target="_blank">Apply for this job</a>

Manager - Data Science

<h1>Software Engineer - ML Platform</h1> <a href="https://careers-americas.icims.com/jobs/16973/software-engineer---ml-platform/job?mode=apply" target="_blank">Apply for this job</a> 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. About AI &amp; ML Platform Team Our team is building the foundations to democratise Machine Learning for Atlassian’s teams, customers and ecosystem. Our goal is to create tools that are user-friendly and reliable, ensuring that Atlassian teams can easily embrace and utilize them. These tools will facilitate the development, deployment, measurement, and operation of AI &amp; ML experiences. They will seamlessly integrate with the Atlassian Data Platform, enabling teams to efficiently and rapidly incorporate AI &amp; ML capabilities into their workflows. The focus is on providing a smooth and hassle-free experience for Atlassian users, allowing them to leverage the power of AI &amp; ML without any complications. Job description As a Software Engineer on the AI &amp; ML Platform team, you will build and shape the core infrastructure to allow software engineers, ML engineers &amp; data scientists to develop, train, evaluate, deploy, and operate Machine Learning models and pipelines. Along with that, you will build systems for product teams like Jira &amp; Confluence to provide access to curated LLMs. You will use your software development expertise to solve difficult problems, tackling complex infrastructure and architecture challenges. You will have the opportunity to drive projects from technical design to launch. You will also collaborate with other teams and internal customers to deliver outcomes. In this role, you'll get the chance to: - Collaborate with your teammates to solve complex problems, from technical design to launch. - Deliver cutting-edge solutions that are used by other Atlassian teams and products to build AI features that reach millions of customers. - Deliver code reviews, documentation &amp; bug fixes within a strong engineering culture - Partner across engineering teams to take on company-wide initiatives spanning multiple projects. - Mentor junior members of the team. Our tech stack is primarily Java/Kotlin built on AWS. On your first day, we’ll expect you to have - Fluency in at least one modern object-oriented programming language (preferably Java/Kotlin and Python). - Interest in Machine Learning and AI - Experience with RESTful microservices. - Experience using cloud tools such as Amazon Web Services (S3, Kinesis, Cloud Formation, EKS, AWS Security and Networking). - Experience with Continuous Delivery and Continuous Integration. It would be great, but not required if you have - SQL knowledge, query tuning, schema design, and ETL processes. - Experience with Databricks or Apache Spark. - Experience with Amazon Sagemaker. - Experience with scaling and deploying Machine Learning models. - Experience with using LLMs. 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: $147,400 - $196,600 Zone B: $132,700 - $176,900 Zone C: $122,400 - $163,100 This role may also be eligible for benefits, bonuses, commissions, and equity. Please visit <a href="http://go.atlassian.com/payzones" target="_blank">go.atlassian.com/payzones</a> 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. Our perks &amp; benefits Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit <a href="http://go.atlassian.com/perksandbenefits" target="_blank">go.atlassian.com/perksandbenefits</a>to learn more. 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 <a href="http://go.atlassian.com/crh" target="_blank">go.atlassian.com/crh</a>. <a href="https://careers-americas.icims.com/jobs/16973/software-engineer---ml-platform/job?mode=apply" target="_blank">Apply for this job</a>

Software Engineer - ML Platform

<h1>Business Intelligence Analyst</h1> <a href="https://careers-americas.icims.com/jobs/17052/business-intelligence-analyst/job?mode=apply" target="_blank">Apply for this job</a> 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. In this role, you will: <ul> <li>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.</li> <li>Apply technical expertise with BI tools to create simple to understand data visualizations</li> <li>Partner with Data Engineers and Data Scientists to define and govern key business metrics</li> <li>Partner with cross-functional teams to inform, influence, and execute strategy decisions</li> <li>Train partners and stakeholders on how to use and interpret BI tools</li> <li>Identify data quality issues in real time and partner with engineering teams to proactively resolve them</li> </ul> Minimum Qualifications / Your background: <ul> <li>Bachelor’s degree or equivalent in a STEM field (e.g. statistics, mathematics, physics, econometrics, or computer science)</li> <li>2+ Years of Experience in Business Intelligence or related fields</li> <li>Proficiency in SQL </li> <li>Experience telling stories with data and familiarity with Tableau </li> <li>Experience working cross-functionally to collect requirements and feedback and manage a transparent backlog</li> <li>Experience applying your analytics skills to projects which have had impact on business strategy and performance</li> <li>Ability to craft analysis into well-written content</li> </ul> Additional / Desirable Qualifications: <ul> <li>4+ Years of Experience in Business Intelligence or related fields OR 2+ Years of experience in Business Intelligence along with a post-graduate degree or equivalent in a related field</li> <li>Experience with multiple other visualization tools (e.g. R-Shiny, Microstrategy, SAP Business Objects, Looker)</li> <li>An understanding of the SaaS business model and important metrics</li> </ul> Our perks &amp; benefits Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit <a href="http://go.atlassian.com/perksandbenefits" target="_blank">go.atlassian.com/perksandbenefits</a>to learn more. 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 <a href="http://go.atlassian.com/crh" target="_blank">go.atlassian.com/crh</a>. <a href="https://careers-americas.icims.com/jobs/17052/business-intelligence-analyst/job?mode=apply" target="_blank">Apply for this job</a>

Business Intelligence Analyst

<h1>Data Scientist</h1> <a href="https://careers-americas.icims.com/jobs/16810/data-scientist/job?mode=apply" target="_blank">Apply for this job</a> 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 Role <ul> <li>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.</li> <li>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.</li> <li>Focus on developing hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them.</li> <li>Define, understand, and test opportunities to improve the products and business and influence roadmaps through insights and recommendations.</li> <li>Partner with cross-functional teams to inform, influence, and execute strategy decisions</li> <li>Identify and measure the success of product efforts through forecasting and monitoring of key product metrics to understand trends.</li> <li>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.</li> </ul> What we’re looking for <ul> <li>2+ years of experience in an analytics role turning data into insights and recommendations</li> <li>Strong analytical and communication skills with the ability to synthesize insights into compelling stories</li> <li>Experience with the SaaS customer lifecycle from acquisition to retention</li> <li>Experience with designing and analyzing experiments</li> <li>Superior SQL (Snowflake, Postgres) skills - able to write structured and efficient queries on large data sets</li> <li>Experience with a Business Intelligence tool (e.g. Tableau or Hex)</li> <li>Experience with a statistical scripting language (e.g. R or Python) is a plus</li> </ul> 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: $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. Please visit <a href="http://go.atlassian.com/payzones" target="_blank">go.atlassian.com/payzones</a> 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. Our perks &amp; benefits Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit <a href="http://go.atlassian.com/perksandbenefits" target="_blank">go.atlassian.com/perksandbenefits</a>to learn more. 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 <a href="http://go.atlassian.com/crh" target="_blank">go.atlassian.com/crh</a>. <a href="https://careers-americas.icims.com/jobs/16810/data-scientist/job?mode=apply" target="_blank">Apply for this job</a>

Data Scientist

<h1>People Data Scientist</h1> <a href="https://globalcareers-atlassian.icims.com/jobs/16841/people-data-scientist/job?mode=apply" target="_blank">Apply for this job</a> 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. <blockquote>Atlassian is hiring a data scientist to join our People Insights team, a cross-disciplinary group of analysts, data scientists, behavioral scientists, researchers and business partners, who use data and research to inform strategic and operational issues facing our leaders, teams, and people. In this role, you’ll get to:</blockquote> <ul> <li>Collaborate with behavioral scientists, business partners and others to understand the people insights needed to drive decision making at Atlassian, and design products and insights in a way that motivates and inspires action</li> <li>Conduct analyses to uncover data-driven people insights</li> <li>Help scale compelling insights from people data by building automated internal processes and/or products</li> <li>Learn from and collaborate with other Data Scientists, as well as mentor others on the team</li> </ul> <blockquote>On your first day, we’ll expect you to have:</blockquote> <ul> <li>Working knowledge of advanced statistical methods (e.g., could include: regression, cluster analysis, HLM, social network analysis, text analysis, longitudinal methods, etc.)</li> <li>Experience working with people data (e.g., survey data, HR data, psychological study data, human behavior data) in an applied setting</li> <li>Proven ability to translate data into compelling and easy-to-understand insights, stories, and narratives that resonate with a non-technical audience</li> <li>Knowledge of experimental methods</li> <li>Knowledge of Python or R</li> <li>Proficiency in reading and writing SQL queries</li> <li>Knowledge of Git is a plus</li> <li>Cross-functional collaboration skills</li> <li>Written and verbal communication skills</li> </ul> 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: $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. Please visit <a href="http://go.atlassian.com/payzones" target="_blank">go.atlassian.com/payzones</a> 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. Our perks &amp; benefits Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit <a href="http://go.atlassian.com/perksandbenefits" target="_blank">go.atlassian.com/perksandbenefits</a>to learn more. 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 <a href="http://go.atlassian.com/crh" target="_blank">go.atlassian.com/crh</a>. <a href="https://globalcareers-atlassian.icims.com/jobs/16841/people-data-scientist/job?mode=apply" target="_blank">Apply for this job</a>

People Data Scientist

<h1>Principal Data Scientist</h1> <a href="https://careers-americas.icims.com/jobs/16670/principal-data-scientist/job?mode=apply" target="_blank">Apply for this job</a> <h3>Working at Atlassian</h3> 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. <h3>Your future team</h3> 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. <h3>In this role, you will:</h3> <ul> <li>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.</li> <li>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.</li> <li>Focus on developing hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them.</li> <li>Define, understand, and test opportunities to improve the products and business and influence roadmaps through insights and recommendations.</li> <li>Partner with cross-functional teams to inform, influence, and execute strategy decisions</li> <li>Identify and measure the success of product efforts through forecasting and monitoring of key product metrics to understand trends.</li> <li>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.</li> <li>You will use storytelling techniques to communicate insights broadly, including to company leadership teams.</li> </ul> <h3>Minimum Qualifications / Your background:</h3> <ul> <li>8+ Years of Experience in Data Science or related fields</li> <li>Proficiency in SQL AND another data manipulation programming language (e.g Python, R)</li> <li>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.)</li> <li>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</li> <li>Experience driving projects or programs which have had proven impact on business strategy and performance through your analytics skills</li> <li>A proven track record for crafting analysis into well-written content</li> <li>Experience advising, presenting to and serving as a thought partner to senior executives</li> </ul> <h3>Desirable Qualifications</h3> <ul> <li>10+ Years of Experience in Data Science or related fields</li> <li>An understanding of the SaaS business model and key metrics</li> </ul> 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: $201,300 - $268,400 Zone B: $181,200 - $241,600 Zone C: $167,100 - $222,800 This role may also be eligible for benefits, bonuses, commissions, and equity. Please visit <a href="http://go.atlassian.com/payzones" target="_blank">go.atlassian.com/payzones</a> 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. Our perks &amp; benefits Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit <a href="http://go.atlassian.com/perksandbenefits" target="_blank">go.atlassian.com/perksandbenefits</a>to learn more. 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 <a href="http://go.atlassian.com/crh" target="_blank">go.atlassian.com/crh</a>. <a href="https://careers-americas.icims.com/jobs/16670/principal-data-scientist/job?mode=apply" target="_blank">Apply for this job</a>

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