field_remote_option

field_job_occupational_field_parents_all

job_organization_name

job_upgrade_is_featured

<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>

Atlassian

Principle Data Scientist - Experimentation

<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 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

Doximity is transforming the healthcare industry. Join our mission to help every physician be more productive and provide better care for their patients. As medicine's largest network in the United States, there's an elevated level of responsibility in everything we do. We don't take that responsibility lightly and are committed to building diverse teams with an inclusive culture that can make a direct impact on the healthcare system. One of Doximity's <a href="https://work.doximity.com/" target="_blank">core values</a> is stretching ourselves. Even if you don't check off all the boxes below we encourage you to apply. Doximity is full of exceptional people who bring their own unique experiences to work everyday and make us all better for it! As a Data Analytics Manager, you'll work within cross-functional delivery teams alongside other analysts, engineers, and product managers in discovering data insights to help improve healthcare. This role can be filled in our San Francisco headquarters OR remotely in the U.S. About Us <ul> <li>Here are<a href="https://drive.google.com/open?id=1qimYh0mG3i1nTJe6jDCDepJt2i4o8MEB" target="_blank"> some of the ways we bring</a> value to doctors</li> <li>Here is an<a href="https://technology.doximity.com/technology-stack" target="_blank"> introduction</a> to our tech stack </li> <li>We use UNIX command-line interface and standard programming tools (vim/emacs, git, etc.) and have over 350 private repositories in Github containing our applications, forks of gems, our own internal gems, and<a href="https://github.com/doximity" target="_blank"> open-source projects</a> </li> <li>We have worked as a distributed team for a long time;<a href="https://blog.brunomiranda.com/building-a-distributed-engineering-team-85d281b9b1c" target="_blank"> we're currently about 65% distributed</a> </li> <li>Find out more information on the<a href="https://engineering.doximity.com/" target="_blank"> Doximity engineering blog</a> </li> <li>Our<a href="https://work.doximity.com/" target="_blank"> company core values</a> </li> <li>Our<a href="https://engineering.doximity.com/articles/engineering-recruitment-process-doximity" target="_blank"> recruiting process</a> </li> <li>Our<a href="https://engineering.doximity.com/articles/mofo-driven-product-development" target="_blank"> product development cycle</a> </li> <li>Our<a href="https://engineering.doximity.com/articles/software-engineering-on-boarding-at-doximity" target="_blank"> on-boarding &amp; mentorship process</a> </li> </ul> Here's How You Will Make an Impact <ul> <li>Leverage Doximity's extensive datasets to identify and classify behavioral patterns of medical professionals on our platform.</li> <li>Play a key role in creating both product and client-facing analytics.</li> <li>Inform data team strategy by working with the product leaders and managers. Actively participate in execution and some planning of organizational data team strategy.</li> <li>Contribute as part of a cross-functional team of product managers, analysts, and engineers to define and lead data projects from data ingestion to analysis to recommendations.</li> <li>Collaborate with Doximity’s Data Leadership team to ensure alignment and success across the entire Data Organization.</li> <li>Manage individual Data Analysts to foster learning, growth and success at Doximity.</li> </ul> About You <ul> <li>You have at least 5 years of industry experience as a data analyst or a data scientist.</li> <li>You have experience managing 4 or more people whereby you were accountable for their growth and success as individuals and team members.</li> <li>You excel at communicating to both technical and non-technical people, with an ability to explain complex concepts simply.</li> <li>You are able to contribute individually, outside of your reports or team by taking on analysis and recommendation driven projects leveraging SQL and Python.</li> <li>You are proficient in SQL and Python for hands-on analysis involving numerous tables and data relationships, and are familiar with object-oriented programming concepts as it relates to Python.</li> <li>You have an advanced understanding of probability and statistics (e.g., experimental design, optimization, predictive modeling).</li> <li>You can balance priorities between being a player (i.e. individual contributor) and a coach (i.e. manager or mentor).</li> <li>Fast learner, collaborative attitude and a natural curiosity and passion for data.</li> </ul> This role is not eligible for immigration sponsorship. Compensation The US total compensation range for this full-time position is $170,000 - $220,000 (inclusive of salary + equity). Our ranges are determined by role and level. The range displayed on each job posting reflects the approximate total target compensation for the position across the US. Within the range, individual pay is determined by factors including relevant skills, experience, and education/training. Please note that the compensation listed does not include benefits. More on /Benefits/Perks Doximity is proud to offer industry-leading benefits to our full time employees. Some of our offerings include: <ul> <li>Medical, dental, vision offerings for you and your family</li> <li>401k with matching program</li> <li>Employee stock purchase plan</li> <li>Family planning support, Childcare FSA, and parental leave</li> <li>Life, AD&amp;D, and Disability</li> <li>Generous time off, holidays and paid company trips</li> <li>Wellness benefits…plus many more!</li> </ul> More About Doximity… For the past decade, it’s been our mission to help every physician be more productive so they can provide better care for their patients. We believe that when doctors are connected, the healthcare system works better and patients benefit. Doximity enables our verified clinician members to collaborate with colleagues, stay up-to-date with the latest medical news and research, manage their careers, and conduct virtual patient visits. Today, Doximity is the leading digital platform for U.S. medical professionals, with over 80% of physicians, 50% of all nurse practitioners and physician assistants, and 90% of graduating medical students as members. Joining Doximity means being part of an incredibly talented and humble team passionate about improving inefficiencies in our $4.3 trillion U.S. healthcare system. We are a team of doers who solve problems everyday by treating obstacles like an adventure, and we love creating technology that has a real, meaningful impact on people’s lives. Doxers are committed to working towards a more equitable world both within and beyond our office walls. This starts by fostering an inclusive and diverse work environment where differences are valued and all employees are encouraged to bring their full, authentic selves to work daily. To learn more about our team, culture, and users, check out our <a href="https://workat.doximity.com/" target="_blank">careers page</a>, <a href="https://blog.doximity.com/" target="_blank">company blog</a>, and <a href="https://engineering.doximity.com/" target="_blank">engineering blog</a>. We’re growing fast, and there’s plenty of opportunity for you to make an impact—join us! For more information, visit<a href="http://www.doximity.com/" target="_blank"> Doximity.com</a>. ____________________________________________ EEOC Statement Doximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

Doximity

Data Analytics Manager

<h1>Principal Machine Learning Engineer - Central AI</h1> <a href="https://careers-americas.icims.com/jobs/16640/principal-machine-learning-engineer---central-ai/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 seeking a Principal Machine Learning Scientist to join our Central AI team located in Bellevue WA. The Central AI organization constructs the fundamental infrastructure, data pipeline, frameworks, models, and other capabilities to expedite AI feature development throughout the entire company. Your Future Team The Central AI org is part of the larger Atlassian Intelligence program. Its purpose is to accelerate AI innovation across all our products and platform, provide cohesive AI experiences and setup up an Atlassian AI infrastructure for the future. While it's anticipated that the majority of AI-driven initiatives will be developed and executed by federated product teams within Atlassian, the role of Central AI is pivotal to this process. 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 departments. 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 and conversation. What you’ll do As a Principal Machine Learning engineer, you will drive the development and implementation of the cutting edge machine learning algorithms, training sophisticated models, collaborating with product, engineering, and analytics teams, to build the AI functionalities into each Atlassian products and services. Your daily responsibilities will encompass a broad spectrum of tasks such as designing system and model architectures, conducting rigorous experimentation and model evaluations, and providing guidance to emerging ML engineers. Your role is pivotal, stretching beyond these tasks, ensuring AI's transformative potential is realized across our offerings. On the first day, we'll expect you to have <ul><li>Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience) </li></ul> <ul><li>5+ years of related industry experience in the data science domain </li></ul> <ul><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></ul> <ul><li>Experience building and scaling machine learning models in business applications using large amounts of data </li></ul> <ul><li>Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story </li></ul> <ul><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></ul> <ul><li>Agile development mindset, appreciating the benefit of constant iteration and improvement </li></ul> It's great, but not required, if you have <ul><li>Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space </li></ul> <ul><li>Experience in developing deep learning-based models and working on LLM-related applications </li></ul> <ul><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: $229,300 - $305,700 Zone B: $206,300 - $275,100 Zone C: $190,300 - $253,700 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/16640/principal-machine-learning-engineer---central-ai/job?mode=apply" target="_blank">Apply for this job</a>

Principal Machine Learning Engineer - Central AI

<h1>Channel Practice Development Lead, AI &amp; Rovo</h1> <a href="https://careers-americas.icims.com/jobs/16031/channel-practice-development-lead%2c-ai-%26-rovo/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. Job Summary: The Channel Go-To-Market (“GTM”) team focuses on accelerating partner revenue through solution adoption by designing and operating GTM initiatives, enablement coursework and programs, as well as, actively managing the development of a set of focus partners to accelerate their ability to market, sell and implement Atlassian’s cloud solution offerings. As the Channel Practice Development Lead, AI and Rovo, you will own the practice development framework end to end to accelerate Atlassian’s partner capabilities to drive market momentum for AI and Rovo solution offerings. This role requires a transformative leader that will be pivotal in developing Atlassian channel capabilities to market, sell and implement Atlassian’s AI offerings. We’re looking for an experienced partner solution professional that can act as a subject matter expert on AI, providing insights and thought leadership to internal and external stakeholders. The ideal candidate should possess a diverse skill set, including exceptional communication and social skills, as well as technical, enablement and GTM proficiency. The role requires a proven track record in cross-team collaboration, program &amp; project management, and execution capabilities. Job Responsibilities: <ul> <li>Partner with cross functional teams to create and execute strategic partner plans focused on Atlassian’s AI + Rovo solution offering</li> <li>Develop a channel practice development framework, enablement roadmap and key initiatives focused on driving partner capabilities to support customers at all stages of their AI lifecycle</li> </ul> <ul> <li>Evangelize partner’s AI + Rovo value proposition internally and externally with partners </li> <li>Collaborate with Atlassian sales, partner solutions architects, enablement and product teams to aide partners in the development of compelling AI offerings</li> <li>Understand the sales and technical requirements of partners and their customers and work along side Atlassian partner and enablement teams to guide Atlassian partners on their development of AI + Rovo practices and capabilities</li> <li>Evangelize AI and Rovo solution offerings across the partner ecosystem </li> <li>Review partner solution capabilities and provide best-practice and strategic guidance that enhances their sales and implementation performance for Atlassian’s AI offerings</li> </ul> <ul> <li>Experience developing enablement roadmaps and go-to-market initiatives and programs to accelerate partner revenue growth and capabilities</li> <li>Proven track record of delivering partner co-sell, co-market and co-deliver KPIs</li> <li>Excellent communication skills to executive sales and partner based audiences</li> <li>Self-motivated with ability to work with ambiguity in a fast-based team environment</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: $193,500 - $258,000 Zone B: $174,200 - $232,200 Zone C: $160,600 - $214,100 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/16031/channel-practice-development-lead%2c-ai-%26-rovo/job?mode=apply" target="_blank">Apply for this job</a>

Channel Practice Development Lead, AI & Rovo

Space is in our DNA. Orbital Sidekick (OSK) has a mission to leverage the untapped power of hyperspectral imagery (HSI) to address global environmental, health, and safety needs while helping companies reach their sustainability goals. Orbital Sidekick is establishing a space-based infrastructure of HSI sensors and analytic capabilities to enable real-time monitoring, detection, and risk management. We’re looking for a Remote Sensing AI Researcher who will build out and design machine learning infrastructure for ateam of data &amp; remote sensing scientists, working collaboratively with the Analytics, and Software teams to deliver data-driven products and solutions. If you are a smart-creative individual seeking to innovate and produce real, tangible value; take ownership of your role and position within a cutting edge tech company; and inform the future vision of an up-and-coming San Francisco start-up, you’ll fit right in. You will contribute to a cross-functional team that is responsible for the full algorithm development process, all the way from human annotation to integration with the platform. Your role as Remote Sensing AI Researcher means that you will be responsible for developing new research that can lead to new products and publications. You will work collaboratively within the company to produce high-level engineering of both the data collection and information delivery platforms.<h3>As a Remote Sensing AI Researcher your responsibilities will include:</h3> <ul> <li>Conducting novel research applying AI/ML to OSK’s satellite hyperspectral imagery.</li> <li>Helping transition research to production, deploying models for both batch and online inference as well as embedded on the satellites.</li> <li>Produce analytical infrastructure for AI/ML pipeline development.</li> <li>Inform colleagues and mentor Individual Contributors about AI/ML opportunities, and tasks.</li> <li>Publish your research in geospatial and/or AI conferences, write blog posts to show off your work.</li> </ul><h3>Basic qualifications:</h3> <ul> <li>3+ years experience in ML/AIMS, or PhD in Computer Science, Engineering, Physics, Mathematics or similar.</li> <li>Python, Pytorch, ML Flow/ClearML, DVC, Ray, Dask, Python data science stack</li> <li>Comfortable training models in a cloud (AWS) environment as well as using best practices to track ML experiments.</li> <li>Ability to work independently as well as collaboratively in a startup environment</li> <li>Excellent written and oral communication skills. </li> <li>Familiarity with common remote sensing data types and tools, GeoTiffs, GDAL rasterio, xarray.</li> </ul><h3>Preferred Skills and Experience:</h3> <ul><li>Relevant publications applying AI/ML to remote sensing data at top conferences.</li></ul><h3>Benefits of Working at OSK:</h3> <ul> <li>We offer competitive compensation and equity packages.</li> <li>Company-sponsored 401K, as well as medical, dental, and vision insurance with 100% premiums covered by OSK for employees and 50% for dependents.</li> </ul>ITAR Requirements: U.S. Government space technologies export/ITAR regulations apply here, applicant must be a U.S. citizen or a lawful permanent resident of the U.S., or eligible to obtain the required authorizations from the U.S. Department of State. Orbital Sidekick is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. We are an equal opportunity employer committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, marital status, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, age, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws.

Orbital Sidekick

Remote Sensing AI Researcher

About Pinterest: Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet. Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences. Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our <a href="https://www.pinterestcareers.com/our-life/pinflex/" target="_blank">PinFlex</a> landing page to learn more. As a Data Scientist you will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world. What you’ll do <ul> <li>Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission - to bring everyone the inspiration to create a life they love</li> <li>Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners</li> <li>Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development</li> <li>Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest</li> </ul> What we’re looking for <ul> <li>4+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data</li> <li>Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields</li> <li>Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn</li> <li>A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented output</li> <li>Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R)</li> <li>Excellent communication skills and ability to explain learnings to both technical and non-technical partners</li> <li>A team player who’s able to partner with cross-functional leadership to quickly turn insights into actions</li> </ul> This position is not eligible for relocation assistance. #LI-REMOTE #LI-NM4 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found <a href="https://www.pinterestcareers.com/pinterest-life/" target="_blank">here</a>. US based applicants only $101,382—$209,296 USD Our Commitment to Diversity: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require an accommodation during the job application process, please notify <a href="#">accessibility@pinterest.com</a> for support.

18 Data Science Jobs in San Francisco County, San Francisco, CA, USA