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At Coinbase, our mission is to<a href="https://blog.coinbase.com/our-mission-strategy-and-culture-18a92a3bb0fa" target="_blank"> increase economic freedom around the world</a>, and we couldn’t do this without hiring the best people. We’re a group of hard-working overachievers who are deeply focused on building the future of finance and Web3 for our users across the globe, whether they’re trading, storing, staking or using crypto. Know those people who always lead the group project? That’s us. There are a few things we look for across all hires we make at Coinbase, regardless of role or team. First, we look for candidates who will thrive in a<a href="https://blog.coinbase.com/culture-at-coinbase-f0e1c2a99aff" target="_blank"> culture</a> like ours, where we default to trust, embrace feedback, and disrupt ourselves. Second, we expect all employees to commit to our<a href="https://blog.coinbase.com/coinbase-is-a-mission-focused-company-af882df8804" target="_blank"> mission-focused approach</a> to our work. Finally, we seek people who are excited to learn about and live crypto, because those are the folks who enjoy the intense moments in our sprint and recharge work culture. We’re a remote-first company looking to hire the absolute best talent all over the world. Who you are: <ul> <li>You’ve got positive energy. You’re optimistic about the future and determined to get there. </li> <li>You’re never tired of learning. You want to be a pro in bleeding edge tech like DeFi, NFTs, DAOs, and Web 3.0. </li> <li>You appreciate direct communication. You’re both an active communicator and an eager listener - because let’s face it, you can’t have one without the other. You’re cool with candid feedback and see every setback as an opportunity to grow.</li> <li>You can pivot on the fly. Crypto is constantly evolving, so our priorities do, too. What you worked on last month may not be what you work on today, and that excites you. You’re not looking for a boring job.</li> <li>You have a “can do” attitude. Our teams create high-quality work on quick timelines. Owning a problem doesn’t scare you, but rather empowers you to take 100% responsibility for achieving our mission.</li> <li>You want to be part of a winning team. We’re stronger together, and you’re a person who embraces being pushed out of your comfort zone. </li> </ul> The data engineering team develops and maintains robust data pipelines, builds trusted data sources, and creates analytics/data products that inject automation into data science processes, with a goal to empower users via self-serve analytics. What we do: <ol> <li> Trusted data sources: Build and maintain a foundational data layer (data marts), that serve as the single source of truth across Coinbase. </li> <li> Reliable data pipelines: Design and implement robust data pipelines, guaranteeing data quality and timely data delivery across our organization.</li> <li> Data science developer tools: Build developer tools that inject automation into data science processes, improving efficiency and productivity. For example, data transformation, data modeling, and data quality tooling.</li> <li> Self-serve analytics products: Deliver tailored data products, designed to empower users with self-serve capabilities and ensure accurate answers to their data inquiries.</li> </ol> What you’ll be doing: Your primary responsibilities will include building tools and products that enhance data science productivity, enable self-serve analytics, and ensure data reliability and quality. Additional responsibilities may include contributing to the maintenance of critical data marts and data pipelines as needed.. More specifically: <ul> <li> Enforce best practices: Introduce automation mechanisms to enforce data best practices and optimal design principles.</li> <li> Data transformation tooling: Enhance our data transformation layer by adding new features and migrating data pipelines from legacy tools.</li> <li> Data quality tooling: Build systems to automate monitoring, alerting and fixing data anomalies.</li> <li> Productivity tooling: Build internal tools aimed at streamlining workflows, minimizing manual interventions and driving operational efficiencies. </li> <li> Cross-Functional collaboration: Work alongside fellow data engineers and cross-functional partners from Data Science, Data Platform, Machine Learning, and various analytics teams to ensure alignment on priorities and deliverables. </li> <li> Reliable data pipelines: Develop new data pipelines and ETL processes, while enhancing the efficiency of existing ones to reduce costs, improve landing times, and ensure reliability. This may involve indexing, partitioning, and tuning the underlying data models.</li> <li> Semantic layer integration: Build the semantic layer to ensure it effectively translates complex data models from the data marts into business terms. This includes defining dimensions, measures, hierarchies, and business logic.</li> <li> Self-serve analytics: Contribute to the self-serve analytics chatbot and its infrastructure by adding features, fixing bugs and promoting its use across the company. </li> <li> Knowledge base: Maintain clear and comprehensive documentation of processes to facilitate smooth team collaboration and hand-offs.</li> </ul> What we look for in you: <ul> <li> Python: Must be adept at scripting in Python, particularly for data manipulation and integration tasks, with strong experience in Object-Oriented Programming (OOP).</li> <li> SQL: Must have a solid grasp of advanced SQL techniques for querying, transformation, and performance optimization.</li> <li> ETL/ELT Processes: Experience in designing, building, and optimizing ETL/ELT data pipelines to process large datasets. Experience with both batch and streaming is a plus.</li> <li> Apache Airflow: Experience in building, deploying, and optimizing DAGs in Airflow or a similar pipeline orchestration tool.</li> <li> GitHub: Experience with version control, branching, and collaboration on GitHub is a must-have.</li> <li> Data Visualization: Experience with tools like Superset, Looker, or Python visualization libraries (Matplotlib, Seaborn, Plotly…etc)</li> <li> Data Modeling: Understanding of best practices for data modeling, including star schemas, snowflake schemas, and data normalization techniques</li> <li> Collaboration and Communication: Ability to work closely with data scientists, analysts, and other stakeholders to translate business requirements into technical solutions. Strong documentation skills for pipeline design and data flow diagrams.</li> <li> Fundamental DevOps Practices: Knowledge of unit testing, CI/CD, and repository management.</li> <li> Technologies: Familiarity with Docker, Kubernetes, and cloud platforms such as AWS or GCP.</li> <li> Prompt Engineering for LLMs: Expertise in crafting, testing, and refining prompts for effective communication with LLMs, like GPT, to generate accurate and contextually relevant responses is a plus. </li> </ul> Job #: P60857 Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range from $[Zone 3 Pay] to $[Zone 1 Pay] + target bonus + target equity + benefits (including medical, dental, vision and 401(k)). 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: $175,100—$206,000 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>

Coinbase

Senior Data Engineer

Job Description:<h2>Job Summary</h2>A Principal Gen AI Author is responsible for creating content core to our technology library. They maintain ties with the technology industry, through participation in research, conferences, and other engagements, as well as an opportunity to help educate the next generation of Data professionals. They combine technical practitioner expertise with teaching and content development skills. <h2>Who you’re committed to being:</h2><ul> <li>You have a passion for teaching technical concepts and sharing your knowledge with others</li> <li>You enjoy learning and are open to new ways of doing things.</li> <li>You are not afraid to be yourself, experiment, make mistakes and learn from them, ask questions, or voice your concerns.</li> <li>When communicating you are self-aware, insightful, and proactive.</li> <li>You are a team member first and individual contributor second. You are aware that high-performing teams are only as strong as their weakest link.</li> <li>You believe in continuous improvement and request frequent feedback from others.</li> </ul><h2>What you'll do:</h2><ul> <li>Author content in accordance with the GenAI Domain content strategy</li> <li>Develop high-quality educational content through videos and hands-on labs</li> <li>Develop and structure course outlines, scenarios, and demo environments; produce slides to a provided set of standards and practices; narrate, record, and edit screen captures and slide-based presentations</li> <li>Research and maintain insight into AI spaces to have the most up to date ideas and content plans in place </li> <li>Work with the Pluralsight Marketing teams to help promote yourself, and Pluralsight, as experts and thought leaders</li> </ul><h2>Experience you’ll bring:</h2><ul> <li>Extensive experience as a practitioner-level technical expert, ideally in software development, data science, machine learning, and/or artificial intelligence</li> <li>Experience as an author, content creator, instructor, and/or trainer</li> </ul><h2>Requirements: </h2><ul><li>Requires a minimum of 12 years of related or equivalent experience; or 8+ years and an advanced degree.</li></ul><h2>Travel Requirements:</h2>While Pluralsight operates under a remote and hybrid work model, we believe that in-person connection and collaboration are important. Recurring travel to our HQ in Utah may be required depending on the role and team member location.<h2>Why you’ll love working here:</h2><ul> <li>We’re remote- and hybrid-friendly</li> <li>We’re mission driven and guided by our culture pillars</li> <li>We have a strong commitment to diversity and belonging</li> <li>We cultivate a culture of trust, autonomy, and collaboration</li> <li>We’re lifelong learners and champion team member growth and advancement</li> <li>We’ve got you covered - team member benefits include competitive compensation packages, medical coverage, unlimited PTO and Summer Fridays, wellness reimbursements, Pluralsight subscription, professional development funds and more.</li> </ul><h2>About us:</h2>We’re Pluralsight, the technology workforce development company that helps teams build better by knowing more and working better together. Using our Skills, Flow, and Cloud products, teams can develop critical skills, improve processes and gain data-driven insights.Learning and development are at the core of who we are. We’re out to help every technologist build better, and we’re looking for curious, talented people to help us inspire and empower the tech workforce to achieve their goals. Our culture of autonomy, continuous learning, and collaboration creates an environment for growth and empowers us to drive impact through innovation.<h2>Physical and Mental requirements:</h2>Work is performed in an office (or home office) environment and requires the ability to operate standard office equipment and keyboards. Sedentary work. Repetitive work. Substantial movements (motions) of the wrists, hands, and/or fingers. The worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading.<h2>EEOC Statement</h2>Bring yourself. Pluralsight is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, age or protected veteran status. Pluralsight will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please visit the <a href="https://www.pluralsight.com/careers" target="_blank">bottom of our website</a> to learn how to request an accommodation.For more information on Pluralsight’s commitment to building a more diverse and inclusive workforce, please review our most recent Diversity, Equity, Inclusion and Belonging report <a href="https://www.pluralsight.com/about/diversity-and-belonging" target="_blank">here</a>.The annual US base salary range for this role is $183,700 - $226,800 USD. Pluralsight's pay ranges vary based on work location. Talent Acquisition can share more detail during the hiring process when applicable. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. In addition to the base salary and variable, this role may also be eligible for benefits and bonuses.Applications must be submitted within 90 days after the initial posting date to be considered.#LI-SW1

Pluralsight

Principal Generative AI Author

<h1>Senior Data Engineering Manager</h1> Analytics &amp; Data Science | San Francisco, United States | Remote, Remote | Full-Time <a href="https://careers-americas.icims.com/jobs/14543/senior-data-engineering-manager/job?mode=apply" target="_blank">Apply for this job</a> About Atlassian Atlassian's mission, "to unleash the potential of every team," is the guiding light behind our work. We have developed well-known products such as Jira, Confluence, and Trello that fit into the fabric of teamwork across different types of teams and the processes to help every team succeed. Atlassians can choose where they work - whether in an office, from home, or a combination. 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 as part of being a distributed-first company. About this role Data is a big deal at Atlassian. We ingest billions of events each month into our analytical platforms and have dozens of teams across the company that depend on data platforms to drive their decisions. We seek a Senior Data Engineering Manager to join the Data Engineering team that supports the Customer Support and Services (CSS) organization in building foundational analytical and operational data products to provide the best customer support experience for Atlassian Customers. As a Senior Data Engineering Manager, you will be a technical leader and a people manager. Your role encompasses guiding the team in making crucial technical decisions to develop production-grade data products. Additionally, you will prioritize and organize the team's workload, ensuring optimal efficiency. Beyond that, you'll foster career growth by providing mentorship opportunities and empowering your team to thrive professionally. 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 - $271,000 Zone B: $183,000 - $243,900 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. <ul> <li>Build and lead a team of data engineers through hiring, coaching, mentoring, and hands-on career development.</li> <li>Provide deep technical guidance and support the team in driving large projects within complex dependencies and multiple stakeholders.</li> <li>Collaborate with various stakeholders, gather deep domain expertise, and own delivery of projects across multiple streams.</li> <li>Collaborate in technical/architectural discussions, provide direction, and drive decision-making.</li> <li>Inspire innovation and operational excellence within the team and influence other Data Engineering teams.</li> </ul> On your first day, we'll expect you to have: <ul> <li>You have a Bachelor’s or Master’s degree in computer science or related field of study and at least 6-8 years of experience as an individual contributor in a Data Engineering or related Software Engineering role.</li> <li>You have 4+ years of experience managing data or related software teams.</li> <li>You have a track record of driving and delivering large (multi-person or multi-team) and complex projects.</li> <li>You are a great communicator and maintain many of the essential cross-team and cross-functional relationships necessary for the team's success.</li> <li>Industry experience working with large-scale, high-performance data processing systems (batch and streaming) with a "Streaming First" mindset to drive Atlassian's business growth and improve the product experience.</li> <li>You have stellar people management skills and experience leading agile data or related software teams.</li> <li>You are passionate about grooming talent and helping them reach their highest potential.</li> <li>You can drive technical excellence, pushing for innovation and quality.</li> <li>Experience working with public cloud offerings such as Amazon Web Services, DynamoDB, ElasticSearch, S3, Databricks, Spark/Spark-Streaming, and Databricks.</li> </ul> We'd be super excited if you have <ul> <li>Experience with at least one high-level programming language, such as Python</li> <li>Understanding and experience building RESTful APIs and microservices</li> <li>Experience with Tableau or other reporting tools.</li> <li>Basic understanding of Experimentation.</li> </ul> <a href="https://careers-americas.icims.com/jobs/14543/senior-data-engineering-manager/job?mode=apply" target="_blank">Apply for this job</a>

Atlassian

Senior Data Engineering Manager

<h1>Senior Engineering Manager -- Teamwork Knowledge Graph AI</h1> Engineering | Mountain View, United States or Remote | Remote, Remote | San Francisco, United States | Seattle, United States | Full-Time <a href="https://careers-americas.icims.com/jobs/15166/senior-engineering-manager----teamwork-knowledge-graph-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. We are looking for a senior engineering manager to join the Teamwork Graph team and lead a group of talented engineers who are responsible for helping build and deploy the knowledge graph of how teams work together. The graph enables various Atlassian products to work together more effectively. Checkout <a href="https://youtu.be/hENQFInHMs0?feature=shared&amp;t=4699" target="_blank">this clip</a> from the recent founder keynote for more details. You will work closely with the Teamwork Platform leadership team to define and execute the vision and strategy for data architecture, indexing, and various APIs using AI models as applicable. You will also collaborate with the federated product teams and other central orgs to integrate the Teamwork knowledge deeply in various products such as Search, Jira, Confluence, and many upcoming ones. The graph will also be a key input to Atlassian Intelligence and AI powered products. Responsibilities: <ul> <li>Process and structure large amounts of graph data to power applications across Atlassian</li> <li>Experienced at designing great APIs</li> </ul> <ul><li>Mentor and coach your team members on best practices, code quality, design patterns, testing, debugging, and documentation.</li></ul> <ul><li>Hire, onboard, and retain top talent for your team and foster a culture of innovation, collaboration, and excellence.</li></ul> <ul> <li>Communicate effectively with internal and external partners, present technical concepts and results clearly and concisely, and solicit feedback and input from various stakeholders.</li> <li>Creative use of generative AI and ML to process, structure, and reason over large amounts of data to power intelligent products</li> </ul> Experience: <ul><li>5+ years of experience managing engineering teams running core services at scale</li></ul> <ul><li>Experience building and scaling business applications and systems 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>Build generalizable platforms with a keen eye on empowering applications in product</li></ul> <ul> <li>Agile development mindset, appreciating the benefit of iteration and improvement</li> <li>Experience working with LLMs and RAG a bonus</li> </ul> Compensation At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are: Zone A: $205,700 - $274,300 Zone B: $185,200 - $246,900 Zone C: $170,800 - $227,700 This role may also be eligible for benefits, bonuses, commissions, and equity. Please visit <a href="http://go.atlassian.com/payzones" target="_blank">go.atlassian.com/payzones</a> for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. Our perks &amp; benefits Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit <a href="http://go.atlassian.com/perksandbenefits" target="_blank">go.atlassian.com/perksandbenefits</a>to learn more. About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit <a href="http://go.atlassian.com/crh" target="_blank">go.atlassian.com/crh</a>. <a href="https://careers-americas.icims.com/jobs/15166/senior-engineering-manager----teamwork-knowledge-graph-ai/job?mode=apply" target="_blank">Apply for this job</a>

Senior Engineering Manager -- Teamwork Knowledge Graph AI

At Coinbase, our mission is to<a href="https://blog.coinbase.com/our-mission-strategy-and-culture-18a92a3bb0fa" target="_blank"> increase economic freedom around the world</a>, and we couldn’t do this without hiring the best people. We’re a group of hard-working overachievers who are deeply focused on building the future of finance and Web3 for our users across the globe, whether they’re trading, storing, staking or using crypto. Know those people who always lead the group project? That’s us. There are a few things we look for across all hires we make at Coinbase, regardless of role or team. First, we look for candidates who will thrive in a<a href="https://blog.coinbase.com/culture-at-coinbase-f0e1c2a99aff" target="_blank"> culture</a> like ours, where we default to trust, embrace feedback, and disrupt ourselves. Second, we expect all employees to commit to our<a href="https://blog.coinbase.com/coinbase-is-a-mission-focused-company-af882df8804" target="_blank"> mission-focused approach</a> to our work. Finally, we seek people who are excited to learn about and live crypto, because those are the folks who enjoy the intense moments in our sprint and recharge work culture. We’re a remote-first company looking to hire the absolute best talent all over the world. Who you are: <ul> <li>You’ve got positive energy. You’re optimistic about the future and determined to get there. </li> <li>You’re never tired of learning. You want to be a pro in bleeding edge tech like DeFi, NFTs, DAOs, and Web 3.0. </li> <li>You appreciate direct communication. You’re both an active communicator and an eager listener - because let’s face it, you can’t have one without the other. You’re cool with candid feedback and see every setback as an opportunity to grow.</li> <li>You can pivot on the fly. Crypto is constantly evolving, so our priorities do, too. What you worked on last month may not be what you work on today, and that excites you. You’re not looking for a boring job.</li> <li>You have a “can do” attitude. Our teams create high-quality work on quick timelines. Owning a problem doesn’t scare you, but rather empowers you to take 100% responsibility for achieving our mission.</li> <li>You want to be part of a winning team. We’re stronger together, and you’re a person who embraces being pushed out of your comfort zone. </li> </ul> Team/ Role Paragraph: Data-backed decision making is core to Coinbase’s culture, and our People Analytics team strives to introduce data to inform, and ultimately drive, every people-related decision we make. We are looking for a Senior BI Engineer to realize this vision, to help build a solid data infrastructure, expanding the team’s ability to drive business impact. We are looking for candidates who are builders: to define and build toward a best-in-class future, build our foundations (from the weeds to the clouds), and support in the scaling of our People Analytics practices for the next phase of Coinbase’s growth. People Analytics works closely with our Executive Team, functional business leaders, and People leaders to ensure people data is accessible, valuable, and actionable. The team covers 4 pillars: advisory, product development (dashboards and tools), advanced analytics, and surveying. This role is pivotal to the enablement of those pillars. What you’ll be doing (ie. job duties): <ul> <li>Develop, manage, and optimize scalable data pipelines and dashboards to track critical metrics and derive insights for our stakeholders.</li> <li>Work both within the PA team and with cross-functional stakeholders to improve data collection, generate insights, and create scalable solutions that enable our users to make informed decisions.</li> <li>Work across the aisle with both business stakeholders and data engineering teams, translating business requirements into technical specifications.</li> </ul> What we look for in you (ie. job requirements): <ul> <li>Bachelor’s degree in computer science, mathematics, or economics or equivalent preferred.</li> <li>Advanced SQL skills, with at least 4 years of experience.</li> <li>Experience adopting data best practices and optimal design principles.</li> <li>Experience working with both relational and dimensional data models.</li> <li>Ability to quickly troubleshoot data quality issues and discrepancies.</li> <li>Ability to acclimate to and understand new and unfamiliar data sources.</li> <li>Experience working with disparate data sources.</li> <li>Familiarity with data security and permissioning best practices, including column masking and row-level security.</li> <li>Experience with Looker, or a similar visualization tool.</li> <li>Ability to work in a fast-paced environment.</li> </ul> Nice to haves: <ul> <li>3+ years of experience in People Analytics or background in I/O Psychology, Organizational Design.</li> <li>Proficiency working with Python.</li> <li>Experience building scalable ETL workflows with Github and Airflow.</li> <li>Strong communication skills.</li> <li>Comfort serving as a liaison between technical and non-technical stakeholders.</li> <li>Track record of handling sensitive data with care and discretion.</li> </ul> P61160 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: $144,500—$170,000 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>

Senior BI Engineer, People Analytics

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.

Pinterest

Data Scientist

Req ID: 75357 Location: Tulsa -TUL Areas of Interest: Audit; Business/Technical Analysis; Digital Technology; Information Technology; Internal Audit; Project Management; Risk Management Pay Transparency Salary Range: Not Available Application Deadline: 09/12/2024 BOK Financial Corporation Group includes BOKF, NA; BOK Financial Securities, Inc. and BOK Financial Private Wealth, Inc. BOKF, NA operates TransFund and Cavanal Hill Investment Management, Inc. BOKF, NA operates banking divisions: Bank of Albuquerque; Bank of Oklahoma; Bank of Texas and BOK Financial®. <h2>Bonus Type</h2> Discretionary <h2>Summary</h2> BOK Financial values talent and offers a career growth environment driven by a passion for excellence. The role involves executing the Internal Audit data analytics framework, collaborating with various teams to optimize audit processes through efficient data use. The incumbent will also provide technical expertise in data validation, cleansing, and analysis, ensuring sustainable and repeatable audit procedures. <h2>Job Description</h2> The Manager, Internal Audit Data Analytics is responsible for the execution of BOKF’s Internal Audit data analytics framework and procedures in support of audits and audit-related projects ensuring processes used are sustainable and repeatable. In executing the responsibilities of this position, the incumbent effectively collaborates with Internal Audit teams and IT/LOB data partners to gain an understanding of the scope and function of data used by various LOB’s and proactively identifies opportunities where audit–related efforts can be optimized through efficient system access and use of data. In partnership with IT and line of business personnel, the incumbent identifies systems, data format and file requirements; and utilizes computer-assisted audit techniques (CAATs) to access and aggregate data in addition to providing technical expertise on data validation, data cleansing, and analysis. <h2>Team Culture</h2> BOK Financial fosters a collaborative, goal-oriented culture where employees follow established standards, receive support from accessible managers, and engage in mentorship. The company values accuracy, initiative, and community involvement, offering an exciting opportunity for growth and teamwork. <h2>How You'll Spend Your Time</h2> <ul> <li>You will independently design and execute audit analytics solutions, collaborate with audit teams to determine methods and data, and manage continuous analytics and reporting frameworks with moderate guidance from the Corporate Audit Director.</li> <li>You will work with business leaders to understand data usage, identify optimization opportunities for audits, and collaborate on resolving and improving processes to meet risk control objectives.</li> <li>You will act as a liaison between Audit, IT, and LOBs to ensure audit data aligns with objectives, while also presenting audit plans, findings, and recommendations to LOB leaders.</li> <li>You will lead and support the internal audit team by setting standards, fostering professional growth, aligning goals, ensuring timely and accurate reporting, and providing strategic expertise.</li> <li>You will analyze industry, financial services, and regulatory trends to enhance your knowledge base and recommend updates to existing protocols and procedures.</li> </ul> <h2>Education &amp; Experience Requirements</h2> Bachelor’s Degree in Computer Science, MIS/AIS, Data Analytics, Quantitative Statistics, Finance/Accounting or related field preferred. Minimum 5 years’ experience in management. Minimum 9 years’ experience performing data analysis, preferably in Banking or Financial services. Expert understanding of management information systems, data analytics tools, and related best practices/ control initiatives. Advanced knowledge and experience scripting, retrieving, and analyzing data using a variety of data analytical tools, including SQL/ Oracle, PowerBI, ACL/ Alteryx/ Arbutus, Visual Studio/ VBA, and/or Excel. Mature understanding of project management methodologies and application. <h2>Working Conditions &amp; Physical Requirements</h2> Office BOK Financial Corporation Group is a stable and financially strong organization that provides excellent training and development to support building the long term careers of employees. With passion, skill and partnership you can make an impact on the success of the bank, customers and your own career! Apply today and take the first step towards your next career opportunity! The companies in BOK Financial Corporation Group are equal opportunity employers. We are committed to providing equal employment opportunities for training, compensation, transfer, promotion and other aspects of employment for all qualified applicants and employees without regard to sex, race, color, religion, national origin, age, disability, pregnancy status, sexual orientation, genetic information or veteran status. Please contact <a href="#">recruiting_coordinators@bokf.com</a> with any questions.

Bank of Oklahoma

Manager, Internal Audit Data Analytics

<h1>Principal Machine Learning Engineer, Developer AI</h1> Engineering | Seattle, United States | Remote, Remote | Full-Time <a href="https://careers-americas.icims.com/jobs/14566/principal-machine-learning-engineer%2c-developer-ai/job?mode=apply" target="_blank">Apply for this job</a> The Developer AI team is working on products and experiences that apply AI to redefine software development, removing toil and grunt work for developers and radically improving developer productivity. This work is on the leading edge of technical capability and will have huge industry impact. As a Principal Machine Learning engineer, you will drive the development and implementation of cutting edge machine learning algorithms, training sophisticated models, collaborating with product, engineering, and analytics teams, to build transformative developer AI 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. <h3>On the first day, we'll expect you to have</h3> <ul> <li>Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience)</li> <li>5+ years of related industry experience in the data science 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>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> <a href="https://careers-americas.icims.com/jobs/14566/principal-machine-learning-engineer%2c-developer-ai/job?mode=apply" target="_blank">Apply for this job</a>

Principal Machine Learning Engineer, Developer AI

<h1>Director, Sales Analytics Post Sales</h1> Analytics &amp; Data Science | San Francisco, United States | Remote, Remote | Full-Time <a href="https://careers-americas.icims.com/jobs/14858/director%2c-sales-analytics-post-sales/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. At Atlassian, we are on a mission to reinvent B2B selling. We have built a multi-billion fast-growing business by focusing relentlessly on converting free trials into happy customers. As a Director of Sales Analyst Post-Sales, you will be integral to this. You will work directly with our Field Operations teams to ensure we optimize our customer engagements. This highly visible role is a hybrid of traditional jobs in Sales operations and strategic planning. The ideal candidate should be familiar with SaaS go-to-market framework and have experience engaging with C-level executives and GMs. Do you love working with Sales teams? Are you highly analytical and can confidently lead insight generation? If so, continue reading. In this role, you’ll get to: <ul> <li>Direct a team that supports the Channel and Customer Success Organizations.. You will partner closely with multiple groups and lead your team to create best-in-class standard reporting &amp; analytics.</li> <li>Work with the global Partner &amp; Customer Success leaders to drive recommendation for improvement plans. There are multiple levers Leadership can pull. It is our job to identify the correct one.</li> <li>Participate as a critical contributor of change management and go-to-market projects. Identify root cause and execute related projects to improve team performance around key customer lifecycle and conversion metrics.</li> <li>Be the driver of planning modeling, ad-hoc analytics, and lead internal quarterly business reviews</li> </ul> On your first day, we’ll expect you to have: <ul> <li>A minimum of 3+ years of team management experience and a proven track record of managing &amp; coaching high performing teams, in a fast-changing environment and with multiple teams relying on you</li> <li>Analytics skills and the ability to mentor Manager and individuals on the best way to approach complex problems: You know what questions to ask, what the data says, and what actions to take based upon the results. </li> <li>Deft ability to communicate data into relevant insight: You know how to create compelling presentations and can lead executives through data deep-dives.</li> <li>You love partnering: You get that an organization is made up of very different parts. You are proficient in and relish influencing other teams and co-piloting cross-team initiatives.</li> <li>Process improvement know-how: Continuous improvement is in your DNA. You can enhance business processes from the diagnosis to documentation to execution.</li> <li>Ability and desire to cover the range of activities from C-level presentations to hands-on, data deep-dives.</li> <li>10-12+ years of ever-increasing responsibility in Sales Operations, Strategy, BizOps, or Analytics role within a B2B (ideally SaaS) company or in a strategy consulting 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: $231,500 - $308,700 Zone B: $208,400 - $277,800 Zone C: $192,200 - $256,200 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/14858/director%2c-sales-analytics-post-sales/job?mode=apply" target="_blank">Apply for this job</a>

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