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<h1>Senior Business Intelligence Engineer</h1> <a href="https://globalcareers-atlassian.icims.com/jobs/16789/senior-business-intelligence-engineer/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. We’re seeking a Senior Business Intelligence Engineer to join a high-performing team passionate about solving business problems with advanced analytics. You will translate raw data into valuable business insights, guide initiatives to measure the health of Cloud Migrations, build dashboards, and support key performance indicators. The ideal candidate has proficiency in SQL, proven data visualization skills, and experience engaging with executive audiences. The candidate will be excellent at time management and comfortable with ambiguity in a fast-paced environment. <ul><li>Partner with senior leaders to translate business needs into technical requirements, data products and actionable insights.</li></ul> <ul> <li>Design, develop, and optimize key business metrics, reports, analyses and dashboards to drive business decisions</li> <li>Use data visualization, statistics, and storytelling to effectively answer open-ended business questions</li> <li>Manage data pipelines, reports, and dashboards</li> <li>Work with data engineers on our scalable data infrastructure for analytics</li> <li>Present data results, analyses and recommendations to senior leaders</li> </ul> <ul> <li>Bachelors/Masters in Computer Science, Information Systems, Business/Data Analytics or a related field</li> <li>Minimum 2 years of experience creating dashboards and interactive reports in BI tools (Tableau, Streamlit, Databricks, etc)</li> <li>Minimum 2 years of SQL experience with a solid understanding of CTEs, Sub-queries, and window functions</li> <li>Minimum 2 years experience in an analytics field with data engineering exposure</li> <li>Working knowledge of Databricks to write production-level queries and publish visualizations</li> <li>Knowledge of scripting languages like Python and R is a plus</li> <li>Comfortable presenting data insights and recommendations to non-technical audiences</li> <li>Experience with Git-based tools like BitBucket</li> <li>Experience defining technical requirements and using data and metrics to draw actionable insights</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/16789/senior-business-intelligence-engineer/job?mode=apply" target="_blank">Apply for this job</a>

Atlassian

Senior Business Intelligence Engineer

<h1>Principle Data Scientist - Experimentation</h1> <a href="https://careers-americas.icims.com/jobs/15903/principle-data-scientist---experimentation/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. Atlassian is looking for a Principal Data Scientist to join our Experimentation Data Science team. The Experimentation Data Science team partners with the experimentation engineering team to help unlock Atlassian’s experimentation capabilities. We help teams experiment successfully by delivering training, tools, and analyses to go from idea to decision as quickly as possible. This is a unique opportunity to work in a collaborative environment to create a culture of experimentation and tackle challenging and distinctive problems. <h2>Your future team</h2> The Experimentation Data Science team sits within the in the Atlassian Corporate Engineering Organization. The team is tasked with pursuing opportunities to increase the velocity and value of experiments in Atlassian. We work cross-functionally with stakeholders in GTM, growth, product, data engineering, and analytics platform teams. We providing experimentation expertise and hands-on support for experimenting at scale. The teams we work with are split geographically between the US and Australia. We are highly nimble, with a focus on velocity between theory and practice, and laser-focused on business impact. <h2>What you’ll do</h2> As a Principle Experimentation Data Scientist, you will drive the experimentation practices and analyses, collaborating with business, engineering, and analytics teams, to enable trustworthy decisions at scale. Additionally, you will lead the organization to develop and adopt novel ways (sprt, stratified random sampling, etc.,) to increase the speed of the experimentation lifecycle. <h2>Your background</h2> <h3>On the first day, we'll expect you to have</h3> <ul> <li>Master or PhD in a quantitative subject (Statistics, Mathematics, Computer Science, Operations Research, or relevant work experience)</li> <li>5+ years of related industry experience in the data science and experimentation domain</li> <li>Experience building and scaling experimentation practices, statistical methods, and tools in a large scale organization</li> <li>Experience with causal inference, multi-arm bandits. reinforcement learning, synthetic data and experimentation, non-parametric methods</li> <li>Expertise in SQL, familiarity with Python, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)</li> <li>Ability to communicate and explain data science and experimentation concepts to diverse audiences, craft a compelling story</li> <li>Focus on business practicality and the 80/20 rule; very high bar for output quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future"</li> <li>Agile development mindset, appreciating the benefit of constant iteration and improvement</li> </ul> <h3>It's great, but not required, if you have</h3> <ul> <li>Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space</li> <li>Familiarity working with go-to-market (GTM), buyer experience and Growth teams (in addition to Product and Engineering)</li> <li>Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions</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/15903/principle-data-scientist---experimentation/job?mode=apply" target="_blank">Apply for this job</a>

Principle Data Scientist - Experimentation

<h1>About One</h1>One’s mission is simple - to help customers achieve financial progress. We’re doing this by creating simple solutions to help our customers save, spend, borrow, and grow their money – all in one place. The U.S. consumer today deserves better. Millions of Americans today can’t access credit, build savings or wealth, and are left to manage their financial lives through multiple disconnected apps. Almost a quarter of U.S. adults are unbanked or underbanked and roughly 80% of fintech users rely on multiple accounts to manage their finances. What makes us unique? We are backed by a preeminent fintech investor (Ribbit) and the world’s largest retailer (Walmart), maintain the speed and independence of a startup, and employ a strong (and growing) collection of world-class talent. There’s never been a better moment to build a business that helps people achieve financial progress. Come build with us!<h1>The role</h1>As a member of the Product Analytics team, your mandate is to work closely with teams and leads across the business to shape the acquisition, growth, and optimization strategies that will drive bottom-line impact for the Core Banking business. Sitting at the intersection of Product, Finance, Marketing, and Engineering, you will work cross-functionally to define the problem at-hand, create a framework to break it down, leverage data to enable optimal decision-making and extend proposals that advance both the business and the Core Banking product. To be successful, you’ll need a passion for solving complex problems inherent to working in the fintech industry, have an eager-mentality to accelerate our robust customer growth, and take an owner-like mentality in managing our foremost business performance metrics. This role will impact One’s vision by further extending the growth of our flagship product, fostering a bridge between the Banking product and our other rapidly expanding product offerings, and effectively managing the foremost business performance metrics to kickstart more customers on their financial journeys!<h2>This role is responsible for: </h2><ul> <li>Performing detailed product usage and business performance analyses to derive data insights that lead to actionable business solutions. </li> <li>Intertwining analytics with business and product strategy to craft business proposals that ultimately impact the bottom-line </li> <li>Building and testing new concepts from the ground-up in order to improve the top business KPIs critical to the Banking business and drive product growth</li> <li>Designing, executing, and analyzing A/B tests to measure impact of changes with a focus on iteration to perfection.</li> <li>Sharing business insights and product enhancement recommendations to senior leadership and stakeholders effectively and concisely.</li> <li>Thinking through 2nd order impacts of their analysis and explaining the impacts to different business areas.</li> </ul><h1>You bring</h1><ul> <li>5-10 years of professional experience in analytics with a proven track record of leveraging quantitative analyses to impact key product decisions </li> <li>Ability to build from the ground-up and a strong analytical aptitude to quickly convert whitespace complex business processes into understandable and easy-to-manage analysis and decision points.</li> <li>Experience working in an analytical scripting language (SQL, Python) with concrete understanding of common statistical methods and applications such as experimentation, regression, and probabilities.</li> <li>Strong written and verbal skills - inclusive of the ability to distill technical subjects for non-technical audiences and effectively communicate findings to stakeholders and executive leadership.</li> <li>The capacity to work both independently and collaboratively with members across the business to surface new insights that will fuel the product roadmap.</li> <li>Curiosity and desire to figure out the key insights even in an uncertain environment.</li> <li>The Triple H Factor: Humble, Hungry and Honest</li> <li> An act-like-an-owner mentality: decisive, collaborative, and ruthlessly prioritize </li> </ul><h1>Pay Transparency</h1>The estimated annual base salary for this position ranges from $150,000 to $175,000. Pay is generally based upon the level, complexity, responsibility, and job duties / requirements of the specific position. We then source candidates with the requisite skills, expertise, education, training, and experience. If you are selected for an interview, please feel welcome to speak to a Talent Partner about our compensation philosophy and other available benefits.<h1>What it’s like working @ One</h1><ul> <li>Competitive cash</li> <li>Benefits effective on day one </li> <li>Early access to a high potential, high growth fintech</li> <li>Generous stock option packages in an early-stage startup</li> <li>Remote friendly (anywhere in the US) and office friendly - you pick the schedule</li> <li>Flexible time off programs - vacation, sick, paid parental leave, and paid caregiver leave</li> <li>401(k) plan with match</li> </ul> We use Covey as part of our hiring process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using <a href="https://getcovey.com/product/covey-scout-inbound" target="_blank">Covey Scout for Inbound</a> on May 31, 2024.Please see the independent bias audit report covering our use of Covey <a href="https://getcovey.com/nyc-local-law-144" target="_blank">here</a>.<h1>Leveling Philosophy</h1>In order to thoughtfully scale the company and avoid downstream inequities, we’ve adopted a flat titling structure at One. Though we may occasionally post a role externally with a prefix such as “Senior” to reflect the external level of the position, we do not use prefixes in titles like that internally unless in a position which manages a team. Internal titles typically include your specific functional responsibility, such as engineering, product management or sales, and often include additional descriptors to ensure clarity of role and placement within our organization (i.e. “Engineer, Platform”, “Sales, Business Development” or “Manager, Talent”). Employees are paid commensurate with their experience and the internal level within One.<h1>Inclusion &amp; Belonging</h1>To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at <a href="mailto:talent@one.app" target="_blank">talent@one.app</a>.

Product Analytics

<h1>Principal Business and Data Analyst</h1> Support | Seattle, United States | Remote, Remote | San Francisco, United States | Full-Time <a href="https://careers-americas.icims.com/jobs/15133/principal-business-and-data-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. Being part of our support organization, you are the customer champion, a trusted partner to Product &amp; Engineering teams, scaling our business by making our Enterprise Customers more successful. You will be key in our company strategic transformation towards Enterprise Cloud. By using your strong business, analytical and data skills, you will identify opportunities to improve our Enterprise Customer’s experience after they migrate to our cloud, based on data and insights from support, and will influence product roadmap, culminating in accelerated growth while keeping our margins (support costs). You're part data analyst, part product manager, and part program manager. You're strategic and also relationship- and data-driven. <ul> <li>Influence product roadmap by identifying, articulating the business impact and proposing possible solutions to the most impacting friction to our customers, after they migrate to our cloud</li> <li>By manipulating data from our customers' interactions with support, extract insights, prepare and deliver regular reporting that uncover improvements opportunities in customer experience, business growth and support efficiency</li> <li>Deliver high-quality deep-dive analysis into opportunities and friction areas happening post-migration and corresponding business cases</li> <li>Partner with Engineering and Product Leaders to design processes and solutions to solve complex support challenges and to implement product improvements that prevent customer friction</li> <li>Identify and remedy Product specific supportability gaps</li> <li>Tell stories through data that resonate with executive leadership</li> <li>Build relationship and rapport to become a trusted advisor to senior partners (Heads of Support, Analytics, Product, and Engineering)</li> <li>Lead projects independently</li> </ul> You will report to the Group Manager, Support Enablement, CSS. <ul> <li>10+ years of relevant experience with a proven ability as an principal data analyst in software development, service delivery, or customer support</li> <li>You have in-depth business understanding and the ability to map business challenges to data</li> <li>Experience with SQL and visualization tools (for example: Tableau, Power BI)</li> <li>Strong written, verbal communication, and presentation skills to senior audience</li> <li>Proven track record of developing longer-term strategies and using data to influence product roadmap</li> <li>Extensive experience working with Product Managers and Software Developers</li> <li>Solid experience Influencing senior partners (directors, heads of ) to enact change</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: $192,000 - $256,000 Zone B: $172,800 - $230,400 Zone C: $159,300 - $212,400 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/15133/principal-business-and-data-analyst/job?mode=apply" target="_blank">Apply for this job</a>

Principal Product Data Analyst - Enterprise Cloud Post-Migration

<h1>Sr. Data Engineer</h1> <a href="https://careers-apac-atlassian.icims.com/jobs/16277/sr.-data-engineer/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>Working at Atlassian</h3> This section is standardized across all Atlassian roles. 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 Engineering team, where you will: <ul> <li>influence product teams</li> <li>inform Data Science and Analytics Platform teams</li> <li>partner closely with data consumers and producers to ensure quality and usefulness of data assets</li> </ul> You will be involved in strategizing measurement, collecting data, and generating insights. This work will help understand and improve product experience and engagement, optimize efficiency and costs, and drive strategy. <h3>In this role, you will:</h3> Data Engineering is a multi-faceted role, where you can have focused or broad set of responsibilities, including: <ul> <li>Defining metrics</li> <li>Instrumenting logging</li> <li>Acquiring/ingesting data</li> <li>Architecting &amp; modeling data</li> <li>Transforming data</li> <li>Ensuring data quality, governance, and enablement</li> <li>Alerting, visualization, and reporting</li> <li>Working autonomously and adding perspective to the team</li> <li>Developing at scale and improving efficiency</li> <li>Embodying the goals of the business and team</li> <li>Leading projects</li> </ul> <h3>Minimum Qualifications / Your background:</h3> <ul> <li>Bachelor’s / Masters degree (or equivalent work experience) in a STEM field.</li> <li>6+ Years of Experience in Data Engineering or related fields.</li> <li>Expertise in Python or other modern programming language development experience.</li> <li>Knowledge of advanced level capabilities in SQL and relational databases experience.</li> <li>Solid working knowledge of ETL (ELT), Data modeling, DataQuality, and Data Visualization/Dashboarding.</li> <li>Experience with data processing performance tuning and optimization.</li> <li>Understanding of the role of experimentation in product development.</li> <li>Familiarity with Anomaly detection solutions.</li> <li>Experience with logging specifications and processing.</li> <li>Experience working with product analytics.</li> <li>Experience with SaaS/Enterprise business models.</li> <li>Experience executing projects or programs which have had proven impact on business strategy and performance.</li> </ul> <h3>Additional / Desirable Qualifications:</h3> <ul> <li>7+ Years of Experience in Data Engineering or related fields OR 5+ Years of experience in Data Engineering along with a post-graduate degree or equivalent in a related field</li> <li>An understanding of the SaaS business model and data structures</li> <li>Experience in Enterprise Software product development</li> </ul> <h3>Compensation</h3> At Atlassian, we strive to design equitable and explainable 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. 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. #LI-Remote <h3>Our perks &amp; benefits</h3> This section is standardized across all Atlassian roles. 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. <h3>About Atlassian</h3> This section is standardized across all Atlassian roles. 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>. 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-apac-atlassian.icims.com/jobs/16277/sr.-data-engineer/job?mode=apply" target="_blank">Apply for this job</a>

Sr. Data Engineer

<h1>Principle Data Engineer</h1> <a href="https://careers-americas.icims.com/jobs/16229/principle-data-engineer/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. Our Data Engineering Team is comprised of data experts. We build world-class data solutions and applications that power crucial business decisions throughout the organisation. We manage multiple analytical data models and pipelines across Atlassian, covering finance, growth, product analysis, customer analysis, sales and marketing, and so on. We maintain Atlassian's data lake that provide a unified way of analysing our customers, our products, our operations, and the interactions among them. We're hiring a Data Engineer, reporting to the Data Engineering Manager. Here, you'll enable a world-class engineering practice, drive the approach with which we use data, develop backend systems and data models to serve the needs of insights, and help build Atlassian's data-driven culture. You love thinking about the ways the business can consume data and then figuring out how to build it. Minimum Qualifications / Your background: <ul> <li>BS in Computer Science or equivalent experience with 8+ years as a Senior Data Engineer or similar role</li> <li>10+ Years of progressive experience in building scalable datasets and reliable data engineering practices.</li> <li>Proficiency in Python, SQL, DBT, and data platforms like DataBricks</li> <li>Proficiency in relational databases and query authoring (SQL).</li> <li>Demonstrable expertise designing data models for optimal storage and retrieval to meet product and business requirements.</li> <li>Experience building and scaling experimentation practices, statistical methods, and tools in a large scale organization</li> <li>Excellence in building scalable data pipelines using Spark (SparkSQL) with Airflow scheduler/executor framework or similar scheduling tools.</li> <li>Expert experience working with AWS data services or similar Apache projects (Spark, Flink, Hive, and Kafka).</li> <li>Understanding of Data Engineering tools/frameworks and standards to improve the productivity and quality of output for Data Engineers across the team.</li> <li>Well versed in modern software development practices (Agile, TDD, CICD)</li> </ul> Desirable Qualifications <ul> <li>Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space</li> <li>Familiarity working with Core engineering datasets like Monitoring, Observability, Performance, Reliability, etc..</li> <li>Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions</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: $203,300 - $271,100 Zone B: $183,000 - $244,000 Zone C: $168,700 - $225,000 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/16229/principle-data-engineer/job?mode=apply" target="_blank">Apply for this job</a>

Principle Data Engineer

<h1>Senior Principal Machine Learning Engineer, Central AI</h1> <a href="https://careers-americas.icims.com/jobs/15733/senior-principal-machine-learning-engineer%2c-central-ai/job?mode=apply" target="_blank">Apply for this job</a> Working at Atlassian Atlassians have flexibility in 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. Atlassian is seeking a Senior Principal Machine Learning Engineer to join our Central AI organization. The Central AI organization develops the foundational infrastructure, data pipelines, frameworks, models, Gen AI and other capabilities to expedite AI feature development throughout the entire company. <h2>Your future team</h2> Central AI’s mission is to expedite AI innovation across all Atlassian products and platforms, ensuring a unified AI user experience and establishing a robust AI infrastructure for Atlassian's future. Central AI is tasked with constructing the underlying infrastructure and capacities, which are crucial for the seamless integration and optimal functionality of AI across various products. By doing so, Central AI ensures that different teams within the organization do not work in silos but have access to a unified foundation that promotes efficiency and collaboration. Additionally, Central AI is responsible for developing some of the core shared experiences typical in the AI domain, such as search, knowledge discovery, conversation, and agents. <h2>What you’ll do</h2> As a Senior Principal Machine Learning Engineer, your role will be instrumental in steering the development and deployment of advanced machine learning algorithms and system architecture. You will be tasked with training complex models and working in close collaboration with product, backend/front end engineering, and analytics teams to seamlessly integrate AI functionalities into every Atlassian product and service. Your day-to-day responsibilities will span a wide range of tasks, including designing system and model architectures, conducting meticulous experimentation and model evaluations, and mentoring budding ML engineers. Your role extends beyond these tasks, playing a crucial part in harnessing the transformative power of AI across our product suite. <h2>Your background</h2> <h3>On the first day, we'll expect you to have</h3> <ul> <li>Master’s degree or equivalent practical experience</li> <li>10+ years of related industry experience in AI/machine learning domain</li> <li>Expertise in Python or Java with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)</li> <li>Experience building and scaling machine learning models in business applications using large amounts of data</li> <li>Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story</li> <li>Focus on business practicality and the 80/20 rule; very high bar for output quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future"</li> <li>Agile development mindset, appreciating the benefit of constant iteration and improvement</li> </ul> <h3>It's great, but not required, if you have</h3> <ul> <li>Master’s degree or PhD in Engineering, Computer Science, or a related technical field</li> <li>Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space</li> <li>Experience in developing deep learning-based models and working on LLM-related applications</li> <li>Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions </li> </ul> <h2>Our perks &amp; benefits</h2> 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. <h2>About Atlassian</h2> 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. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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/15733/senior-principal-machine-learning-engineer%2c-central-ai/job?mode=apply" target="_blank">Apply for this job</a>

Senior Principal Machine Learning Engineer, Central AI

<h1>Senior Principal Data Scientist</h1> Analytics &amp; Data Science | San Francisco, United States | Remote, Remote | <a href="https://careers-americas.icims.com/jobs/15763/senior-principal-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 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 Product Managers, Engineers, Designers, Researchers, Data Engineers, Markets and the Executive team across Atlassian to drive and influence outcomes. The team is responsible for using a variety of analysis and data-science techniques to understand how Atlassian's customers engage with our AI products, identify gaps and opportunities, and measure the success of our product investments. In this role, you will: <ul> <li>Identify key business challenges and develop strategic initiatives for your cross-functional business partners, be a trusted strategic partner, and build credibility.</li> <li>Influence Atlassian Intelligence product strategy and roadmaps, and drive impactful change through the structure and clarity of your analysis and recommendations.</li> <li>Lead and prioritize multiple workstreams and/or large complex data science programs. In collaboration with your data science team and your business partners, you will be making informed decisions about priorities, timing, and resourcing.</li> <li>Drive best practice techniques for communicating complex, unfamiliar, challenging, and/or difficult information, including the development and use of frameworks and conceptual models.</li> <li>Lead the evolution of data assets in your team. Coordinate with and influence other data science and engineering teams working on Atlassian Intelligence to ensure alignment of metrics, measurement, and analysis methodologies.</li> <li>Leverage broader industry knowledge to establish frameworks to measure customer engagement with and quality of Atlassian intelligence features.</li> <li>Actively share your work and knowledge to benefit work done across data science.</li> <li>Proactively enable your data science team to address business needs and navigate change and ambiguity.</li> <li>Use your experience and expertise to identify, solve, and bridge gaps/problems across data science and drive programs of work impacting organizational processes that scale Atlassian.</li> </ul> Minimum Qualifications / Your background: <ul> <li>Proven track record of driving projects or programs that have had a significant impact on business strategy and performance.</li> <li>Excels at advising, presenting to and serving as a thought partner to senior executives</li> <li>10+ years of experience in Data Science or related fields.</li> <li>Expertise in SQL and another data manipulation programming language (e.g., Python, R).</li> <li>Proficiency in at least one visualization tool (e.g., Tableau, R-Shiny, Looker).</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 leading and mentoring teams, with a focus on achieving strategic objectives.</li> </ul> Desirable Qualifications <ul> <li>12+ Years of Experience in Data Science or related fields</li> <li>Understanding of the SaaS business model and key metrics.</li> <li>Experience in developing insights for Chat, Search, or LLM-based products.</li> <li>Championing the adoption of industry standards in a functional area of Data Science.</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: $231,600 - $308,800 Zone B: $208,400 - $277,900 Zone C: $192,200 - $256,300 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/15763/senior-principal-data-scientist/job?mode=apply" target="_blank">Apply for this job</a>

Senior Principal Data Scientist

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems. Our <a href="https://www.coinbase.com/mission" target="_blank">work culture</a> is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be. Team: The Coinbase Customer Experience (CX) organization plays an imperative role in achieving our mission. Our team is dedicated to eliminating customer defects, driving efficiency through automation, and optimizing support operations. We are seeking an experienced Data Analyst to lead insights into our quality assurance and knowledge management functions. As a Data Analyst on our team, you will own and drive projects that create meaningful business impact. You’ll have the opportunity to transform data into measurable actions that improve customer experiences and help shape our long-term strategy to deliver maximum impact to our customers. What you’ll be doing: <ul> <li>Improve customer experiences by developing bar raising metrics, self-service tools, and deep analyses that drive actionable insights</li> <li>Collaborate with stakeholders to manage a long-term analytic roadmap that balances the tactical and strategic needs of the business</li> <li>Proactively identify opportunity areas for improvement including deep dive investigations and processes to better serve our customers</li> <li>Drive the vision, building, and adoption of self-service analytic capabilities; develop these capabilities at scale</li> <li>Understand data resources and know when, how, and which best to use for each project</li> <li>Ability to frame and break down complex business problems into key components and recommend practical solutions</li> <li>Monitor key performance metrics and use data to identify actionable opportunities to increase efficiency and make high-quality decisions that drive performance improvements</li> <li>Build a collaborative team environment that fosters efficient execution, innovation, and continuous improvement</li> <li>Develop and support the analytical technologies that give our team timely, flexible, and structured access to their data</li> <li>Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs</li> <li>Maintain a high bar for statistical rigor on your team; ensure that we’re conducting experimentation and causal analyses that build confidence with your stakeholders</li> </ul> What we look for in you: <ul> <li>4+ years of relevant data analytics experience in an operational environment, with a strong focus on quality measures</li> <li>Experience transforming unstructured data into actionable insights, outlier based agent performance management, and web analytics </li> <li>Professional experience using advanced SQL and data modeling skills to process large, complex datasets</li> <li>Proficient using at least one data visualization product (Looker, Tableau, QuickSight, etc.)</li> <li>Excellent written and verbal communication skills, including experience meeting with and communicating information to senior leadership</li> <li>Highly collaborative, with an ability to optimally secure inputs from many cross-functional partner teams</li> <li>Ability to think strategically, formulate appropriate analytical solutions, and execute in order to solve business needs</li> </ul> Nice to haves: <ul> <li>Report automation experience (e.g. using Python, R)</li> <li>Knowledge of AWS services and cloud computing</li> <li>Experience with descriptive and inferential statistics</li> <li>Experience with financial industry regulations</li> <li>Experience with QMS and L&amp;D-centric metrics</li> </ul> JOB ID: P62711 Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include target bonus + target equity + benefits (including medical, dental, vision and 401(k)). Pay Range: $131,325—$154,500 USD <h3>Commitment to Equal Opportunity</h3> Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Know Your Rights notice <a href="https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRights_10_20.pdf" target="_blank">here</a>. Additionally, Coinbase participates in the <a href="https://static-assets.coinbase.com/e-verify.pdf" target="_blank">E-Verify program</a> in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site <a href="https://chrome.google.com/webstore/detail/chromevox/kgejglhpjiefppelpmljglcjbhoiplfn" target="_blank">click here to download</a> a free compatible screen reader <a href="http://www.chromevox.com/tutorial/" target="_blank">(free step by step tutorial can be found here)</a>. <h3>Global Data Privacy Notice for Job Candidates and Applicants</h3> Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available <a href="https://www.coinbase.com/legal/applicant_privacy_notice" target="_blank">here</a>. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined <a href="https://www.coinbase.com/legal/application-arbitration-agreement" target="_blank">here.</a>

Coinbase

Data Analyst

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems. Our <a href="https://www.coinbase.com/mission" target="_blank">work culture</a> is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be. The Compliance Technology Team at Coinbase plays a critical role in achieving our mission. Compliance Technology designs, builds and maintains complex systems at a global scale to meet BSA/AML regulations with industry best practices. Within the Compliance Technology - KYC team, we are building KYC technology, Customer Risk Rating models, and internal and external reports and dashboards to support our Compliance processes and stakeholders. The ideal candidate should have strong data analytics, SQL, Python, and data visualization skills. In addition, the candidate should have working knowledge of BSA/AML compliance, KYC and customer risk rating. Software engineering experience in Compliance will be a big plus. What you’ll be doing (ie. job duties): <ul> <li>Build Compliance systems and infrastructure working in a cross-functional dynamic environment</li> <li>Use your strong technical skills to build and enhance KYC Customer Risk Scoring models</li> <li>Investigate issues, fix production bugs and build enhancements requested by end-users in the Compliance and Operations teams</li> <li>Writing clear documentation which can be reviewed by regulators and external examiners</li> <li>Working to a deadline to deliver accurate reports and dashboards</li> <li>Collaborate cross-functionally to deliver solutions</li> <li>Design and build self-service dashboards and reports, including the use of visualizations</li> <li>Produce Data Extracts for Compliance stakeholders </li> </ul> What we look for in you (ie. job requirements): <ul> <li>Minimum 2 years of technology experience in a data analytics or a systems engineering role at a large consulting, financial institution, technology or a financial technology firm</li> <li>Excellent programming skills; strong SQL, Go and/or other programming language skills</li> <li>Prior development experience in Legal, Compliance and/or Risk products or services</li> <li>Ability to thrive in a fast paced and dynamic environment; prior experience in a start-up or high growth environment will be a plus</li> <li>Knowledge of software development life cycle (SDLC): requirements development, system design, development, testing and production launch. Software engineering experience will be a big plus</li> <li>Ability to successfully collaborate in a cross-functional environment </li> <li>Data-driven approach to problem solving </li> <li>Strong communication skills, both verbal and written (including writing formal documentation)</li> <li>A quick learner and a team player who enjoys building and doing hands-on work</li> <li>Keen interest in learning about crypto and building innovative solutions</li> </ul> Nice to haves: <ul> <li>Excellent analytical skills; strong Python skills</li> <li>Knowledge of data visualization tools like Tableau, Redash and Looker</li> <li>Prior development experience in KYC and Risk Rating </li> <li>Prior experience with GitHub</li> <li>Knowledge of cryptocurrencies will be a big plus but not a prerequisite</li> <li>Model Validation and working with external examinations</li> <li>Knowledge of Agile Methodologies, including SCRUM</li> </ul> Job #: P58117 #LI-Remote Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include target bonus + target equity + benefits (including medical, dental, vision and 401(k)). Pay Range: $67,500—$75,000 USD <h3>Commitment to Equal Opportunity</h3> Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Know Your Rights notice <a href="https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRights_10_20.pdf" target="_blank">here</a>. Additionally, Coinbase participates in the <a href="https://static-assets.coinbase.com/e-verify.pdf" target="_blank">E-Verify program</a> in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site <a href="https://chrome.google.com/webstore/detail/chromevox/kgejglhpjiefppelpmljglcjbhoiplfn" target="_blank">click here to download</a> a free compatible screen reader <a href="http://www.chromevox.com/tutorial/" target="_blank">(free step by step tutorial can be found here)</a>. <h3>Global Data Privacy Notice for Job Candidates and Applicants</h3> Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available <a href="https://www.coinbase.com/legal/applicant_privacy_notice" target="_blank">here</a>. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined <a href="https://www.coinbase.com/legal/application-arbitration-agreement" target="_blank">here.</a>

76 Data Science Jobs in United States