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<h1>Senior Data Scientist</h1> Analytics &amp; Data Science | Seattle, United States | Remote, Remote | Full-Time <a href="https://careers-americas.icims.com/jobs/15042/senior-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. <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 with Product Managers/Researchers/ Engineers/Marketers/Designers/Privacy and Executive teams to drive and influence. They use a variety of analysis and data-science techniques to understand how Atlassian’s customers engage with our products and communications and, in doing so, identify, design, and measure the success of product investments. Compensation At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are: Zone A: $175,100 - $233,400 Zone B: $157,600 - $210,100 Zone C: $145,300 - $193,800 This role may also be eligible for benefits, bonuses, commissions, and equity. Please visit <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. <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> </ul> <h3>Minimum Qualifications / Your background:</h3> <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> <h3>Desirable Qualifications</h3> <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> <li>Experience in developing insights for Chat, Search or LLM-based products</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/15042/senior-data-scientist/job?mode=apply" target="_blank">Apply for this job</a>

Atlassian

Senior Data Scientist

<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>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

<h2>About the team</h2>AI products at Zillow help millions of people find the best home for them with less stress and more visibility. Zillow scientists develop a variety of ML models (natural language understanding, computer vision, recommendation systems) that enables our customers to find and move to their next home. Join the team that develops end to end platform powering AI research and development at Zillow! As a member of the AI Platform team, you will help define Zillow’s approach to Artificial Intelligence research &amp; Products, powering products like home value estimation, economic research, personalized recommendations and semantic search etc. You will work on building powerful ML infrastructure enabling containerized services, performing distributed computations at scale, empowering continuous research &amp; deployments of ML models, evaluations and monitoring. Learn more about what we are doing at <a href="https://www.zillow.com/data-science" target="_blank">https://www.zillow.com/data-science</a> and <a href="https://www.zillow.com/engineering" target="_blank">https://www.zillow.com/engineering</a><h2>About the role</h2>We are looking for a Principal Software Development Engineer to help us build the next generation of AI infrastructure powering multiple Zillow products. The position gives you opportunities to:<ul> <li>Craft and build scalable infrastructure for orchestrating end to end machine learning lifecycle from experimentation phase to production jobs &amp; services</li> <li>Build the roadmap and lead the team towards success in building the next-gen AI infrastructure, which supports AI workload at 10x scale plus governance &amp; compliance requirements</li> <li>Work with a variety of technologies such as Kubernetes, KNative, Argo, Databricks, Kafka, Tensorflow etc.</li> <li>Collaborate with Applied Scientists, Machine Learning Engineers and cross functional teams in crafting and implementing your technical vision</li> <li>Work closely with our data infrastructure team to build the data systems and stores that power ML models</li> <li>Collaborate with various teams (Product, Engineering) to scope and deliver platform solutions </li> </ul>This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions.In California, Colorado, Connecticut, Hawaii, Nevada, New York, Washington state, and Washington DC the standard base pay range for this role is $186,300.00 - $297,700.00 Annually. This base pay range is specific to California, Colorado, Connecticut, Hawaii, Nevada, New York, Washington state, and Washington DC and may not be applicable to other locations.In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location.<h2>Who you are</h2>Basic Qualifications:<ul> <li>A degree (BS+) in Computer Science or a related field. Masters in Computer Science preferred</li> <li>5+ years of experience with Machine Learning, data and/or backend web services &amp; infrastructure</li> <li>2+ years of experience with platform solutions for large scale AI applications</li> <li>Experience working with cloud services (AWS/Azure/GCP)</li> <li>Excellent interpersonal skills and passionate about collaborating across organizational boundaries</li> </ul>Nice to haves:<ul> <li>Have vision and passion to make Machine Learning development easier for ML Practitioners </li> <li>Experience developing sophisticated software systems scaling to millions of users with production quality deployment, monitoring and reliability</li> <li>Experience with Databricks (for data and/or ML use cases)</li> <li>Experience with building low latency, high reliability Web Services (K8s, KNative services)</li> <li>Experience with Machine Learning Frameworks (e.g. PyTorch, Keras, Tensorflow, XGBoost)</li> <li>Experience with modern data technologies (Spark, Hive, Kafka, Beam, Airflow)</li> </ul> Transferable Skills Here at Zillow - we value the experience and perspective of candidates with non-traditional backgrounds. We encourage you to apply if you have transferable skills or related experiences.<h2>Get to know us</h2>Zillow is reimagining real estate to make home a reality for more and more people.As the most-visited real estate website in the United States, Zillow® and its affiliates help movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing and renting experiences. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help make it easier to move. The work we do helps people get home and no matter what job you're in, you will play a critical role in making home a reality for more and more people.Our efforts to streamline the real estate transaction are supported by a deep-rooted culture of innovation, our passion to redefine the employee experience, a fundamental commitment to Equity and Belonging, and <a href="https://www.zillow.com/careers/benefits/" target="_blank">world-class benefits</a>. These benefits include comprehensive medical, dental, vision, life, and disability coverages as well as parental leave, family benefits, retirement contributions, and paid time off. We’re also setting the standard for work experiences of the future, where our employees are supported in doing their best work and living a flexible, well-balanced life. But don’t just take our word for it. Read recent reviews on <a href="https://www.glassdoor.com/Overview/Working-at-Zillow-EI_IE40802.11,17.htm" target="_blank">Glassdoor</a> and recent recognition from multiple organizations, including: the 100 Best Companies to Work For, Glassdoor Employees’ Choice Award, Bloomberg Gender-Equality Index, Human Rights Campaign (HRC) Corporate Equity Index, and TIME <a href="http://time.com/100companies" target="_blank">100 Most Influential Companies</a> list.Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact your recruiter directly.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local law.Applicants who receive job offers from Zillow Group will be asked to sign a Proprietary Rights Agreement which includes confidentiality, intellectual property assignment, customer and employee non-solicitation, and non-competition provisions. If you are contacted for a role at Zillow Group and wish to review a copy of the Proprietary Rights Agreement prior to receiving an offer, you may request a copy from your Recruiter.

4 Data Science Jobs in Seattle, WA, USA