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Thermo Fisher Scientific

Director, Sales, Pharma Analytics, Global

Work ScheduleStandard (Mon-Fri)Environmental ConditionsOfficeJob DescriptionAt Thermo Fisher Scientific, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life - enabling our customers to make the world healthier, cleaner and safer. We provide our teams with the resources needed to achieve individual career goals while taking science a step beyond through research, development and delivery of life-changing therapies. With clinical trials conducted in 100+ countries and ongoing development of novel frameworks for clinical research through our PPD clinical research portfolio, our work spans laboratory, digital and decentralized clinical trial services. Your determination to deliver quality and accuracy will improve health outcomes that people and communities depend on – now and in the future.Our Mission is to enable our customers to make the world healthier, cleaner and safer. As one team of 100,000+ colleagues, we share a common set of values - Integrity, Intensity, Innovation and Involvement - working together to accelerate research, solve complex scientific challenges, drive technological innovation and support patients in need.This is a fully remote position available to candidates located in the United States of America.Summarized Purpose:Executes advanced analytics modeling based on exploratory data analysis from complex and highdimensional datasets through application of statistics, machine learning, programming, data modeling, simulation, and/or advanced mathematics to recognize patterns, identify opportunities, and generate valuable predictive business insights in support of innovative business decisions. Supports organization leadership through data-driven decision validation and support.Essential Functions:<ul> <li>Effectively collaborates with cross-functional stakeholders to identify questions and business challenges and determine plans of action in order to effectively define, design, and develop machine learning models and algorithms to derive insights into each problem.</li> <li>Generates and tests hypotheses and analyzes and interprets the results.</li> <li>Navigates large, complex datasets for data mining, profiling, and curation, and natural language processing (NLP), as well as identifies related data that is fundamental to successfully applying predictive and machine learning techniques.</li> <li>Designs, develops and programs methods, processes, and software programs to consolidate, cleanse, and analyze unstructured, diverse data sources to recognize patterns, identify opportunities, and generate actionable business insights and solutions.</li> <li>Designs, develops, and evaluates predictive models and algorithms that lead to optimal value extraction from the data in order to support business process improvements and solve business challenges.</li> <li>Identifies meaningful insights from large data and metadata sources in support of continuous improvement efforts and business process upgrades through exploratory data analysis.</li> <li>Effectively communicates and guides stakeholders through the machine learning process; Interprets and communicates findings and solutions from analysis and experiments to a broad audience, including business leadership.</li> </ul>Job Complexity:Works on problems of diverse scope where analysis of data requires evaluation of identifiable factors. Job Knowledge A seasoned, experienced professional with a full understanding of area of specialization; resolves a wide range of issues in creative ways. This job is the fully qualified, career-oriented, journey-level position.Supervision Received:Normally receives little instruction on day-to-day work, general instructions on new assignments. Demonstrates good judgment in selecting methods and techniques for obtaining solutions.Business Relationships:Represents the department as a prime contact on projects. Interacts with internal and external personnel on significant matters often requiring coordination between functional areas. Networks with senior internal and external personnel in own area of expertise.Qualifications:Education and Experience:<ul> <li>Bachelor's degree or equivalent and relevant formal academic / vocational qualification</li> <li>Previous experience that provides the knowledge, skills, and abilities to perform the job (comparable to 5+ years).</li> <li>In some cases an equivalency, consisting of a combination of appropriate education, training and/or directly related experience, will be considered sufficient for an individual to meet the requirements of the role.</li> </ul>Knowledge, Skills and Abilities:<ul> <li>Strong working knowledge of application of statistics, programming, data modeling, simulation, and advanced mathematics to business questions for data analysis</li> <li>Demonstrated skills with exploratory data analysis techniques involving structured and unstructured data, machine learning (e.g. decision trees, neural networks, clustering, classification, Bayesian networks), model validation techniques, and data visualization techniques</li> <li>In depth knowledge in one or more of the following technical areas: Snowflake, AWS EMR, Python, Spark, R, Shiny, jupyter, and associated packages and libraries from numpy, pandas, SciPy or NLTK</li> <li>Thorough knowledge of and exposure to cloud architectures across NoSQL, lambda functions, kafka, sagemaker, tensorflow, etc.</li> <li>Proficiency with the following data science approaches: data engineering, pipelining and wrangling tools, data visualization and modeling tools, and mathematical approaches to imperfect data</li> <li>Substantial knowledge of data management approaches such as relational databases, data schemas, object stores, column stores, triple stores, graph stores, and/or document stores</li> <li>Proven ability to deliver accurate work products in a cross-functional matrix environment spanning data warehousing, data modeling, and data analytics while managing multiple competing priorities</li> <li>Sound analytical skills and demonstrated proficiency in developing detailed analysis, models, plan calculations, and tools</li> <li>Solid executive presence with ability to communicate effectively and influence at all levels</li> <li>Demonstrated creativity in identifying non-traditional data sources in addition to rigorous application of leading analytic techniques</li> </ul>Management Role: No management responsibilityWorking Conditions and Environment:<ul> <li>Work is performed in an office environment with exposure to electrical office equipment.</li> <li>Occasional drives to site locations with occasional travel both domestic and international.</li> </ul>Physical Requirements:<ul> <li>Frequently stationary for 6-8 hours per day.</li> <li>Repetitive hand movement of both hands with the ability to make fast, simple, repeated movements of the fingers, hands, and wrists.</li> <li>Frequent mobility required.</li> <li>Occasional crouching, stooping, bending and twisting of upper body and neck.</li> <li>Light to moderate lifting and carrying (or otherwise moves) objects including luggage and laptop computer with a maximum lift of 15-20 lbs.</li> <li>Ability to access and use a variety of computer software developed both in-house and off-the-shelf.</li> <li>Ability to communicate information and ideas so others will understand; with the ability to listen to and understand information and ideas presented through spoken words and sentences.</li> <li>Frequently interacts with others to obtain or relate information to diverse groups.</li> <li>Works independently with little guidance or reliance on oral or written instructions and plans work schedules to meet goals. Requires multiple periods of intense concentration.</li> <li>Performs a wide range of variable tasks as dictated by variable demands and changing conditions with little predictability as to the occurrence. Ability to perform under stress. Ability to multitask.</li> <li>Regular and consistent attendance.</li> </ul>Salary TransparencyThe salary range estimated for this position is $90,000 - $130,000. This position will also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. Actual compensation will be confirmed in writing at the time of offer.We offer a comprehensive Total Rewards package that our US colleagues and their families can count on, which generally include:• A choice of national medical and dental plans, and a national vision plan• A wellness program, and valuable health incentive opportunities for company contributions to a Health Reimbursement Accounts (HSAs) or Health Savings Account (HSA)•Tax-advantaged savings and spending accounts and commuter benefits• Employee assistance programs• At least 120 hours paid time off (PTO). 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, short- and long-term disability, and volunteer rime off in accordance with company policy.• Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings planAccessibility/Disability AccessWe 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 contact us to request accommodation.EEO &amp; Affirmative ActionThermo Fisher Scientific is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, creed, religion, color, national or ethnic origin, citizenship, sex, sexual orientation, gender identity and expression, genetic information, veteran status, age or disability status.

Senior AI Engineer

Lattice

Staff AI Engineer

Zendesk

Sr. Director, Scaled Marketing, Analytics, and Operations

<h1>Principal Data Engineer</h1> <a href="https://careers-americas.icims.com/jobs/17194/principal-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. Atlassian is looking for a Principal Data Engineer to join our Go-To Market Data Engineering (GTM-DE) team which is responsible for building our data lake, maintaining our big data pipelines / services and facilitating the movement of billions of messages each day. We work directly with the business stakeholders and plenty of platform and engineering teams to enable growth and retention strategies at Atlassian. We are looking for an open-minded, structured thinker who is passionate about building services that scale. On a typical day you will help our stakeholder teams ingest data faster into our data lake, you’ll find ways to make our data pipelines more efficient, or even come up ideas to help instigate self-serve data engineering within the company. Then you will move on to building micro-services, architecting, designing, and enabling self serve capabilities at scale to help Atlassian grow. We are a team with little legacy in our tech stack and as a result you’ll spend less time paying off technical debt and more time identifying ways to make our data usable and improve our users experience. As a Principal Data Engineer in the GTM-DE team, you will have the opportunity to apply your strong technical experience building highly reliable services on managing and orchestrating a multi-petabyte scale data lake. You enjoy working in a fast paced environment and you are able to take vague requirements and transform them into solid solutions. You are motivated by solving challenging problems, where creativity is as crucial as your ability to write code and test cases. On your first day, we'll expect: <ul> <li>You have 12+ years of experience in a Data Engineer role as an individual contributor.</li> <li>You have at least 2 years of experience as a tech lead for a Data Engineering team.</li> <li>You are an engineer with a track record of driving and delivering large (multi-person or multi-team) and complex efforts.</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>Experience with building streaming pipelines with a micro-services architecture for low-latency analytics.</li> <li>Experience working with varied forms of data infrastructure, including relational databases (e.g. SQL), Spark, and column stores (e.g. Redshift)</li> <li>Experience building scalable data pipelines using Spark using Airflow scheduler/executor framework or similar scheduling tools.</li> <li>Experience working in a technical environment with the latest technologies like AWS data services (Redshift, Athena, EMR) or similar Apache projects (Spark, Flink, Hive, or 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>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> </ul> We'd be super excited if you have <ul> <li>Built and designed Kappa or Lambda architecture data platforms and services.</li> <li>Experience implementing Master Data Management (MDM) solutions.</li> <li>Built pipelines using Databricks and is well-versed with their APIs.</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: $163,400 - $217,800 Zone B: $147,000 - $196,000 Zone C: $135,600 - $180,800 This role may also be eligible for benefits, bonuses, commissions, and equity. Please visit <a href="http://go.atlassian.com/payzones" target="_blank">go.atlassian.com/payzones</a> for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. Our perks &amp; benefits Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit <a href="http://go.atlassian.com/perksandbenefits" target="_blank">go.atlassian.com/perksandbenefits</a>to learn more. About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit <a href="http://go.atlassian.com/crh" target="_blank">go.atlassian.com/crh</a>. <a href="https://careers-americas.icims.com/jobs/17194/principal-data-engineer/job?mode=apply" target="_blank">Apply for this job</a>

Atlassian

Principal Data Engineer

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. Ready to #LiveCrypto? 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> Data Science is an integral component of Coinbase’s product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company’s bottom line. Specifically, we’re looking for a Staff Data Scientist to join our Coinbase (CB) Wallet team. CB Wallet is our solution that allows individuals to custody their own crypto in a censorship resistant way. As a Staff level Data Scientist on this team, you’ll be working closely with multiple squads that are collectively working towards improving Wallet’s growth. Sample projects include building out growth models, creating and mapping input metrics to various squads, devising experimentation frameworks to measure incrementality, and utilizing blockchain data to unlock new product opportunities What you’ll be doing (ie. job duties): <ul> <li>Devise testing plan to better understand key product metrics and inform product strategy.</li> <li>Act as a strategic partner to functional teams: initiate and execute deep analyses and models to help prioritize opportunities and provide actionable recommendations.</li> <li>Build new analytics and machine learning models that improve both our insights and the product directly.</li> <li>Measure business performance, develop / refine core metrics and create reporting to understand and monitor them.</li> <li>Synthesize data learnings into compelling stories and communicate them throughout Coinbase and to senior executives.</li> <li>Initiate, develop,and maintain data pipelines and data models with outstanding craftsmanship. </li> </ul> What we look for in you (ie. job requirements): <ul> <li>BA / BS degree or equivalent practical experience. 8+ years relevant experience, or a PhD degree in related fields + 5 years. </li> <li>Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.</li> <li>Understanding of statistical concepts and experience in applying them.</li> <li>Related, understanding of experimentation best practices and concepts (e.g., incrementality, cannibalization, etc.)</li> <li>Experience in data analyses using SQL.</li> <li>Experience in at least one programming language (preferably Python).</li> <li>Ability to independently create plans for analytics projects and a track record of overseeing large / complex analytical projects spanning multiple teams</li> </ul> Nice to haves: <ul> <li>Previous experience working in crypto is a plus.</li> <li>Domain experience in product, marketing, growth, and/or other business analytics areas.</li> </ul> ID: G2462 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: $201,450—$237,000 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

Staff Data Scientist

Williams is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity and expression, national origin, age, marital status, disability, veteran status, genetic information or any other basis protected under applicable discrimination law.Do something that means something at Williams. This isn’t just a job - it’s an opportunity to explore and discover your passion with coworkers who become friends and mentors who push you to be your best self in and out of the office. At Williams, we make clean energy happen. And you can too, so bring your energy to ours.As Data Scientist IV, you will be responsible for full life-cycle development, implementation, and production support of data warehouses, business intelligence reporting and advanced analytical model development. You will act as a technical leader on your team and deliver technical solutions to the business that drive business value. The ability to build relationships with internal business partners and adapt your communication style to your audience are keys to success!Your work will challenge you, and with our Core Values to guide you, you’ll quickly learn and grow with us.Responsibilities/Expectations: <ul> <li>Leads the design, build, and maintenance of scalable data pipelines using Azure Databricks, Azure Data Factory, and other Azure services</li> <li>Develops and manages cloud-based data infrastructure, ensuring optimal performance, reliability, and security</li> <li>Creates data models and ETL/ELT processes that support advanced analytics and business intelligence solutions</li> <li>Develops interactive dashboards and reports in Power BI to provide actionable insights for business stakeholders</li> <li>Implements CI/CD pipelines using Azure DevOps to streamline data engineering workflows, deployments, and automation</li> <li>Collaborates with data scientists to operationalize machine learning models and AI solutions</li> <li>Ensures data compliance, governance, and security standards are followed across all data engineering projects</li> <li>Works closely with product managers, data scientists, and business teams to translate business needs into technical solutions</li> <li>Other duties as assigned</li> </ul>Education/Years of Experience:<ul> <li>Required: Bachelor's degree in information technology, engineering, business, or a related field and a minimum of seven (7) years' experience including three (3) years supporting a major technology application</li> <li>Preferred: Master's degree and a minimum of ten (10) years' experience with five (5) or more years in data science and/or business intelligence development</li> </ul>Other Requirements: <ul> <li>Understanding of Azure Databricks administration, including cluster performance management, cost optimization strategies, and user access control mechanisms</li> <li>Proficiency in writing efficient, scalable PySpark code for data processing, transformation, and machine learning workflows</li> <li>Experience with Terraform for deploying, configuring, and managing cloud resources for scalable and repeatable infrastructure setups</li> <li>Skills in developing automation scripts using Python, PowerShell, or Bash to streamline platform management tasks and data workflows</li> <li>Knowledge of implementing monitoring, logging, and alerting solutions for data pipelines and platform resources using Azure Monitor or similar tools</li> <li>Understanding of enterprise security policies, role-based access control (RBAC), and supporting compliance audits</li> <li>Proficiency in Microsoft Office Applications </li> </ul><h2>About Tulsa:</h2>Our corporate headquarters is located in downtown Tulsa, Oklahoma, the 2nd largest city in Oklahoma and the 47th most populous in the U.S.Tulsa is known as the Mother of "The Mother Road" - Route 66, and boasts impressive art deco architecture, the #1 city park in the U.S. (The Gathering Place) and is a great venue for live music. It's an easy place to get in and out of, with more than 20 non-stop flight destinations offered at Tulsa International Airport. Tulsa is listed on <a href="https://www.cnn.com/travel/article/where-to-travel-best-destinations-2022/index.html" target="_blank">CNN Travel's best destinations to visit in 2022!</a>Tulsa is not only a great place to live, but it's affordable. According to the 2019 Economic Report from Tulsa's Future, the cost of living is 8 percent below the U.S. average. There is no place like T-Town. Check out <a href="https://visittulsa.com/" target="_blank">visittulsa.com</a> to learn more!Why Choose Williams?We are committed to providing our employees with competitive compensation and benefits as part of your Total Rewards package to help protect your current and future physical, emotional, and financial health. We generally offer health benefit programs to our employees and their families that are competitive and flexible enough to meet your needs, and retirement benefits to allow you to invest now for financial security when you retire. With rich learning and development programming and a high internal mobility rate, you are not just applying to a job with Williams; you are embarking on an exciting career!<ul> <li>Competitive compensation</li> <li>Annual incentive program</li> <li>Hybrid work model - one work from home day each week for most office-based roles</li> <li>Flexible work schedule for most field-based roles</li> <li>401(k) with company matching contribution and a fixed annual company contribution</li> <li>Comprehensive medical, dental, and vision benefits</li> <li>Generous company-paid life insurance and disability benefits</li> <li>A consumer-driven health plan option with the potential for a generous company contribution to a Health Savings Account</li> <li>Healthcare and Dependent Care Flexible Spending Accounts</li> <li>Paid time off, including floating and company holidays</li> <li>Wellness Program with annual rewards</li> <li>Employee stock purchase plan</li> <li>Robust employee learning and development</li> <li>High internal mobility (we promote from within)</li> <li>Parental leave (we provide up to 6 weeks for each parent)</li> <li>Fertility coverage and adoption benefits</li> <li>Domestic partner benefits</li> <li>Educational reimbursement</li> <li>Non-profit donation matching contributions and time off to volunteer</li> <li>Employee resource groups</li> <li>Employee assistance programs</li> <li>Technology to make our work more productive and collaborative</li> <li>Regular employee engagement surveys and feedback processes</li> </ul>Williams has a long history of making a significant difference in the communities where we live and work, and we strive to cultivate an environment of employee inclusion, innovation and passion that values all voices and opinions. We help each other succeed and great things happen when people from a diverse set of backgrounds come together. Together, we make clean energy happen.Eligibility and benefits are governed by the terms of the applicable plan or program document which can be amended or terminated at any time.For more information, please visit <a href="https://www.williams.com/careers/total-rewards/" target="_blank">https://www.williams.com/careers/total-rewards/</a>.<h2>Education Requirements:</h2>Skill Requirements:Competency Requirements:Action oriented (3 - Meets Expectations), Collaborates (3 - Meets Expectations), Communicates effectively (3 - Meets Expectations), Customer focus (3 - Meets Expectations), Drives results (3 - Meets Expectations), Ensures accountability (3 - Meets Expectations), Instills trust (3 - Meets Expectations)

Williams

Analytics Engineer

<h1>Head of Product, AI Developer Experiences</h1> <a href="https://careers-americas.icims.com/jobs/17475/head-of-product%2c-ai-developer-experiences/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. As Atlassian’s Head of Products for AI-Driven Developer Experiences, you will help define and lead the vision, strategy, and execution of our portfolio AI experiences, tailored to developers and the teams they work within. This role requires a blend of strategic thinking, technical expertise, and user-centered design to deliver innovative products that simplify and enhance the software development lifecycle. You will collaborate with cross-functional teams, including engineering, data science, and design, to drive product excellence and market adoption. Key Responsibilities: <ol> <li> Strategic Leadership: <ul> <li>Define and own the product vision and roadmap for Atlassian’s AI solutions for developers and the underlying technologies necessary to get there. </li> <li>Stay ahead of industry trends and emerging technologies to ensure product innovation and relevance.</li> </ul> </li> <li> Team Leadership: <ul> <li>Build, mentor, and lead a high-performing product management team. Initially this will be done as a Senior IC but assuming direct management over time.</li> <li>Foster a collaborative and innovative culture that encourages experimentation and learning.</li> </ul> </li> <li> Product Development: <ul> <li>Collaborate with engineering and data science teams to develop scalable AI solutions that solve developer pain points.</li> <li>Prioritize and define product requirements based on customer insights, market analysis, and business goals.</li> </ul> </li> <li> Customer Focus: <ul> <li>Engage directly with customers and the developer community at large to understand their challenges.</li> <li>Deliver delightful, market-leading user experiences that meet and exceed developer expectations.</li> </ul> </li> <li> Metrics and Outcomes: <ul> <li>Define key performance indicators (KPIs) to measure product success and adoption.</li> <li>Use data-driven insights to iterate and refine products continuously.</li> </ul> </li> </ol> 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: $255,200 - $340,200 Zone B: $229,600 - $306,200 Zone C: $211,800 - $282,400 This role may also be eligible for benefits, bonuses, commissions, and equity. Please visit <a href="http://go.atlassian.com/payzones" target="_blank">go.atlassian.com/payzones</a> for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. Our perks &amp; benefits Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit <a href="http://go.atlassian.com/perksandbenefits" target="_blank">go.atlassian.com/perksandbenefits</a>to learn more. About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit <a href="http://go.atlassian.com/crh" target="_blank">go.atlassian.com/crh</a>. <a href="https://careers-americas.icims.com/jobs/17475/head-of-product%2c-ai-developer-experiences/job?mode=apply" target="_blank">Apply for this job</a>

Head of Product, AI Developer Experiences

<h1>Principal Data Scientist</h1> <a href="https://careers-americas.icims.com/jobs/15764/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. In this role, you will: <ul> <li>Collaborate on a variety of product and business problems with a diverse set of cross-functional partners, become a trusted strategic partner, and build credibility through the structure and clarity of your work.</li> <li>Apply technical expertise with quantitative analysis, experimentation, and the presentation of data to develop strategies for our business and help solve the business's biggest challenges.</li> <li>Focus on developing hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them.</li> <li>Define, understand, and test opportunities to improve the products and business and influence roadmaps through insights and recommendations.</li> <li>Partner with cross-functional teams to inform, influence, and execute strategy decisions</li> <li>Identify and measure the success of product efforts through forecasting and monitoring of key product metrics to understand trends.</li> <li>You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Atlassian.</li> <li>You will use storytelling techniques to communicate insights broadly, including to company leadership teams.</li> </ul> Minimum Qualifications / Your background: <ul> <li>8+ Years of Experience in Data Science or related fields</li> <li>Proficiency in SQL AND another data manipulation programming language (e.g Python, R)</li> <li>Expertise at telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects, Looker, etc.)</li> <li>Expertise in applying a broad variety of statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems and a strong sense of when to adapt/combine approaches to suit the problem at hand</li> <li>Experience driving projects or programs that have had a proven impact on business strategy and performance through your analytics skills</li> <li>A proven track record for crafting analysis into well-written and persuasive content</li> <li>Experience advising, presenting to and serving as a thought partner to senior executives</li> </ul> Desirable Qualifications <ul> <li>10+ Years of Experience in Data Science or related fields</li> <li>An understanding of the SaaS business model and key metrics</li> <li>Experience in developing insights for Chat, Search or LLM-based products</li> </ul> Compensation At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are: Zone A: $201,300 - $268,400 Zone B: $181,200 - $241,600 Zone C: $167,100 - $222,800 This role may also be eligible for benefits, bonuses, commissions, and equity. Please visit <a href="http://go.atlassian.com/payzones" target="_blank">go.atlassian.com/payzones</a> for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. Our perks &amp; benefits Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit <a href="http://go.atlassian.com/perksandbenefits" target="_blank">go.atlassian.com/perksandbenefits</a>to learn more. About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit <a href="http://go.atlassian.com/crh" target="_blank">go.atlassian.com/crh</a>. <a href="https://careers-americas.icims.com/jobs/15764/principal-data-scientist/job?mode=apply" target="_blank">Apply for this job</a>

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