field_remote_option

job_industry

field_job_occupational_field_parents_all

job_organization_name

job_upgrade_is_featured

Cherokee Nation Businesses

Sr Analyst and Researcher, HR Analytics

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems. Our <a href="https://www.coinbase.com/mission" target="_blank">work culture</a> is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be. While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported. The Analytics Engineering team is part of the Data Engineering organization, whose mission is to build reliable and trusted data sources and tools that enable timely and accurate data-driven decision-making. Sitting at the intersection of data engineering, data science, and business analytics, our team transforms raw data into actionable insights through solid pipelines, scalable data models, and intuitive tools. By prioritizing data quality, reliability, and usability, we make sure stakeholders can trust and leverage data to drive real business impact. What you’ll be doing: This role combines technical expertise with business impact, whether it’s building robust data pipelines or directly solving business problems and delivering insights. As the leader of the analytics engineering team, you’re going to: <ul> <li> Build and lead the team: Hire, mentor, and grow a team of analytics engineers who will work closely with product and data science teams.</li> <li> Develop deep product expertise: Ensure your team deeply understands product data, building targeted data marts and tools that solve real business problems.</li> <li> Leverage AI and LLMs: Investigate how LLMs and AI can change analytics and build data foundations that support these future needs. Focus on creating data marts optimized for LLMs and AI-driven analytics.</li> <li> Unlock the value of our data: Partner with stakeholders to maximize the commercial impact of data by building scalable models, optimizing pipelines, and integrating cross-product data for better decision-making.</li> <li> Directly deliver business impact: Oversee the creation of dashboards, ad-hoc analytics, and self-service tools that empower product teams to make data-driven decisions.</li> <li> Prioritize outcomes over tools: Leverage the right frameworks and technologies to drive value, whether by developing abstractions, creating internal data apps, or improving scalable workflows.</li> <li> Bridge the gap between business and data: Liaise between product data science, product managers, and central data engineering. Ensure your team uses central data tools and infrastructure while remaining agile and product-focused.</li> </ul> What We Look For in You We’re looking for a hands-on leader to build and manage the Analytics Engineering team, bridging data engineering and product data science. Your team will create domain-specific data marts, tools, and analytics solutions that drive our products and business. You’ll build tailored data solutions while staying aligned with data engineering best practices. This is a chance to shape the future of analytics as we integrate LLMs and AI-driven insights. Success in this role requires a mix of leadership, technical expertise, and product mindset. Here’s what we’re looking for: <ul> <li> Resourceful problem solver: You thrive on tackling new and complex challenges, even those outside of your expertise. Whether it’s learning a new programming language, diving into an unfamiliar dataset, or seeking insights from domain experts, you do whatever it takes to find the best solution. Difficult or ambiguous problems don’t frustrate you; they motivate you.</li> <li> AI-forward: You’re excited about the role of LLMs and AI in analytics, leveraging them to boost productivity while applying prompt engineering and design to improve response accuracy and relevance. You bring forward-thinking ideas on how to prepare for an AI-driven future.</li> <li> Experienced in building and leading teams: You have experience hiring and managing data teams, and know how to inspire and grow talent.</li> <li> Hands-on tech lead: You’re comfortable balancing hands-on work with strategic leadership.</li> <li> Data modeling and tools: You’re an expert in data modeling, ETL/ELT, and modern data stack tools (e.g., Airflow, DBT, Snowflake, Hex).</li> <li> Engineering best practices: You’re comfortable with version control (GitHub), CI/CD, modern development workflows, OOP, building scalable frameworks, and advanced SQL for data transformation, querying, and optimization.</li> <li> Creative and detail-oriented: You bring out-of-the-box thinking, meticulous attention to detail, and a sense of urgency to every project.</li> <li> Autonomous and accountable: You operate with a high degree of independence while taking full ownership of outcomes.</li> <li> Product and business sense: You’ve collaborated with product and data science teams to deliver analytics solutions, you can quickly understand product goals, prioritize tasks, and address business challenges through analytics engineering.</li> <li> Clear and influential communicator: You communicate clearly and know how to get buy-in for your team’s work, build relationships across teams, and break down silos.</li> <li> Strong statistical foundation: You have a strong understanding of statistics and probability, enabling you to interpret data effectively, validate assumptions, and support data-driven decision-making.</li> </ul> ID:P66578 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: $207,485—$244,100 USD 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 + benefits (including medical, dental, vision and 401(k)). Pay Range: $207,485—$244,100 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. <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

Analytics Engineering Manager

R1 is the leading provider of technology-driven solutions that transform the patient experience and financial performance of hospitals, health systems and medical groups. We are the one company that combines the deep expertise of a global workforce of revenue cycle professionals with the industry’s most advanced technology platform, encompassing sophisticated analytics, AI, intelligent automation, and workflow orchestration. We are seeking a visionary Data Science Director of Product to lead our data science initiatives and drive the development of cutting-edge products in the healthcare industry. This role demands a unique blend of leadership in product strategy, an understanding of the healthcare revenue cycle, deep experience leading teams, and a grounding in data science principles and analytics. Responsibilities: <ul><li> Strategic Leadership in AI-focused Product Development: Lead the strategic vision for embedding innovative data science solutions within our product offerings in healthcare revenue cycle, reporting into R1’s VP of Data Science. Balance technical expertise with a keen eye for improving the business, finding product opportunities, market trends, and prioritizing the highest impact projects. </li></ul><ul><li> Team and Project Management: Oversee a team of data science product managers, nurturing a high-performance culture of teamwork, collaboration, and innovation. Prioritize and manage multiple projects to efficiently allocate resources and ensure alignment with R1’s business strategy and data science team’s goals. </li></ul><ul><li> Stakeholder Engagement and Influence: Act as a bridge between data science and Senior leadership across the business. Use exceptional communication skills to translate complex data concepts into actionable business strategies, influence decision-making, and promote product adoption across the organization. </li></ul><ul><li> Innovative Analytics and Product Insights: Leverage data to make informed decisions about solution feasibility, model improvements, product innovation and efficiency. Use data to tell compelling data science product stories. </li></ul><ul><li> Cross-functional Problem-Solving: Identify pain points and obstacles in current product offerings, then synthesize into innovative solutions to complex challenges. Recognize opportunities to scale data science solutions and products across the business. </li></ul><ul><li> Healthcare Industry Expertise: Deeply understand healthcare revenue cycle processes and regulations. Use this knowledge to guide product development, translate business challenges for our data scientists, and ensure compliance and relevance in our solutions. </li></ul>Required Qualifications: <ul><li> Experience: 10+ years total business experience including working in product or leading innovative teams. </li></ul><ul><li> Healthcare Experience: 3+ years of experience working in healthcare revenue cycle. </li></ul><ul><li> Technical Experience: 3+ years working in data science or analytics, with at minimum an understanding of core data science principles. Ability to visualize data and model results utilizing a modern BI tool (Power BI, Spotfire, Tableau, etc.). </li></ul><ul><li> Leadership: Strong leadership, presentation, and reporting skills coupled with a track record of managing high-performing teams and complex projects. Excellent mentoring capabilities. </li></ul><ul><li> Communication: Excellent communication and presentation skills, with a keen eye for details. Capable of engaging and influencing various stakeholders. </li></ul><ul><li> Business Acumen: Robust understanding of business financials (e.g., P&amp;L budgets) and metrics (e.g., OKRS) with the ability to align data science initiatives with business objectives. </li></ul>For this US-based position, the base pay range is $109,118.00 - $187,269.24 per year . Individual pay is determined by role, level, location, job-related skills, experience, and relevant education or training.This job is eligible to participate in our annual bonus plan at a target of 20.00%The healthcare system is always evolving — and it’s up to us to use our shared expertise to find new solutions that can keep up. On our growing team you’ll find the opportunity to constantly learn, collaborate across groups and explore new paths for your career. Our associates are given the chance to contribute, think boldly and create meaningful work that makes a difference in the communities we serve around the world. We go beyond expectations in everything we do. Not only does that drive customer success and improve patient care, but that same enthusiasm is applied to giving back to the community and taking care of our team — including offering a <a href="http://go.r1rcm.com/benefits" target="_blank">competitive benefits package.</a>R1 RCM Inc. (“the Company”) is dedicated to the fundamentals of equal employment opportunity. The Company’s employment practices , including those regarding recruitment, hiring, assignment, promotion, compensation, benefits, training, discipline, and termination shall not be based on any person’s age, color, national origin, citizenship status, physical or mental disability, medical condition, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status or any other characteristic protected by federal, state or local law. Furthermore, the Company is dedicated to providing a workplace free from harassment based on any of the foregoing protected categories.If you have a disability and require a reasonable accommodation to complete any part of the job application process, please contact us at 312-496-7709 for assistance.CA PRIVACY NOTICE: California resident job applicants can learn more about their privacy rights <a href="https://f.hubspotusercontent20.net/hubfs/4941928/California%20Consent%20Notice.pdf" target="_blank">California Consent </a>To learn more, visit: <a href="https://R1RCM.com" target="_blank">R1RCM.com</a>Visit us on <a href="https://www.facebook.com/R1RCM" target="_blank">Facebook</a>

R1 RCM

Director of Product, Data Science

Counseling & Recovery Services of Oklahoma

Clinical Systems & Business Intelligence Specialist

<ul> <li> <a href="#"> Search </a> </li> <li> <a href="#"> My Account </a> </li> <li> <a href="#"> Saved Jobs (0) </a> </li> <li> <a href="#"> Sign In </a> </li> </ul>

ONE Gas

Data Analyst II, Accounting Billing Control

<h2 id="who-we-are">Who we are</h2> <h3 id="about-stripe">About Stripe</h3> Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. <h3 id="about-the-team">About the team</h3> We’re looking for an experienced data analyst to deepen our understanding around the economic impact Stripe is having globally. You will be part of a community of analysts and data scientists on the Go-to-Market Analytics team, and you will partner with Stripe’s Communications, Policy, and Marketing teams to build and protect Stripe’s brand and influence across the world. <h2 id="what-youll-do">What you’ll do</h2> Stripe has a unique view of the world, with real-time insight into changing trends, industries, and cross-border commerce. The Data Analyst, Communications &amp; Policy role will focus on constructing and analyzing data, built upon robust data pipelines and a strong data architecture, to demonstrate how Stripe enables broad and often surprising economic growth. This role will help tease out novel economic insights from Stripe data to tell stories about how pockets of the economy are evolving, and how Stripe is advancing economic opportunity and increasing the GDP of the internet. <h3 id="responsibilities">Responsibilities</h3> <ul> <li>Partner with the Communications, Policy and Marketing teams to imagine, scope, and lead research projects that bring to life different facets of Stripe’s economic impact </li> <li>Design, implement and maintain data pipelines and dashboards to generate insights from Stripe internal and external public data sources </li> <li>Define and monitor key economic impact metrics </li> <li>Go deep on understanding business drivers, user segments, cohorts and macroeconomic trends </li> <li>Prepare presentations, analyses and visualizations for internal and external executive audiences </li> <li>Partner closely with Communications, Policy, Marketing and Product teams to identify and analyze key trends and produce thought leadership pieces and campaign content leveraging Stripe data </li> <li>Collaborate with external vendors, academics, and think tanks to advance Stripe’s research agenda and advocacy positions </li> </ul> <h2 id="who-you-are">Who you are</h2> We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. <h3 id="minimum-requirements">Minimum requirements</h3> <ul> <li>5+ years of experience in analytical roles working with large datasets </li> <li>Bachelor’s degree in Statistics, Economics, Mathematics, Engineering, Sciences or a related quantitative field </li> <li>Proficiency in SQL and Python </li> <li>Experience building and maintaining data pipelines using a distributed data framework (e.g. Hadoop, Spark) </li> <li>Experience building self-serve dashboards or other scalable analytical tools for partner teams </li> <li>Strong knowledge of statistics </li> <li>Experience developing data-informed narratives and visualizations for external publication </li> <li>Demonstrated experience of and interest in the public discussion of economic trends (whether as a data scientist, writer, researcher, or in another capacity) </li> <li>Demonstrated ability to lead and deliver on multiple projects with a high attention to detail </li> <li>Outstanding written and verbal communication skills </li> </ul> <h3 id="preferred-qualifications">Preferred qualifications</h3> <ul> <li>Master’s degree in Statistics, Economics, Mathematics, Engineering, Sciences or a related quantitative field and/or experience in working on data analytics in the tech field </li> <li>Experience working with institutions that are respected by policymakers and the wider public for their economic insight </li> <li>Familiarity with survey design and analysis </li> </ul> This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office). Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams. A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently or plan to live. The annual US base salary range for this role is $146,900 - $220,300. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. Office locations Toronto Remote locations Remote in United States Team Data &amp; Data Science Job type Full time <a href="#"> Apply for this role </a>

Stripe

Data Analyst, Communications & Policy

Position Details Req ID req1399 Job Title MASTER DATA ANALYST I Division Corporate Shift First Shift Job Summary Job Summary Applies fundamental knowledge of principles, theories, concepts and industry practices and standards in the area of Master Data maintenance including managing of policies and procedures, research and policy change implementation to ensure compliance to regulations and laws that apply to Aerospace and Defense. Essential Functions &amp; Key Responsibilities <ul> <li>Solves problems of limited scope and complexity relative to developing comprehensive Master Data procedures and guidelines and processing of SAP Master Data requests that apply to aerospace and defense. Management applies close to moderately close supervision and review of work performed.</li> <li>Assist with executing short and long-term policy priorities; build support for multi-department policy change by working directly with management and affected departments.</li> <li>Assists in providing technical support on policy issues to government officials and partners to advance policy goals.</li> <li>Consolidates, reviews and processes all requests for Master creations, changes and deletions; requests are subject to response in accordance with service level agreements.</li> <li>Maintains tracking and communicates this information to management via aging reports and prioritization of quick-turn items.</li> <li>Reviews all requests and ensures that data is accurate in the system.</li> <li>Maintains and updates all Master Data documentation and ensures that it is available to all the necessary groups via the intranet and hard copy; communicates all changes in a timely manner.</li> <li>Analyzes information and troubleshoots problem areas with the appropriate departments and perform corrective actions as necessary.</li> <li>Periodically reviews the rules and accuracy of the Master Data with all affected user groups within the company.</li> <li>Works with peers to ensure that all understand the master data guidelines and procedures to ensure that the data is accurate, and fields are populated correctly; maintain and develop relationships with other departments and management to manage a uniform policy and procedure process.</li> <li>Provide written and oral documentation, as needed.</li> </ul> Performs other duties as required. These duties may include assignments in job classifications and departments other than the primary assignment. Minimum Qualifications Education Requirements Minimum 4 Year / Bachelors Degree. Supply Chain Management or other related discipline. If applicable, a combination of experience and training may be substituted for the education requirement.Experience Requirements 0-2 year(s) Related experience and/or training. Skills and Competencies <ul><li>Must be able to arrive at work on time, work onsite, and attend regularly.</li> <li>Must be able to read and write the English language, perform basic mathematical calculations and learn to interpret and comprehend company policies, procedures, safety instructions, and other like documents used in an aerospace manufacturing environment.</li> <li>Competent in the use of standard software applications such as Microsoft Word and Excel and operate standard office equipment.</li> <li>Makes telephone and direct personal contact with internal and external personnel and makes formal presentations to small or large groups.</li> <li>Ability to conduct policy research</li> <li>Good analytical and organizational skills.</li></ul> Skills and Work Requirements Physical Requirements Physical Requirements Must be able to work in excess of eight (8) hours per day and five (5) days per week, if required. Additionally, those who work at NORDAM Repair Division must be able to ascend and descend stairs. Demand - Frequency Walk - Frequent Use hands to handle or feel or manipulate - Frequent Reach with hands and arms - Frequent Stoop, kneel, crouch, or crawl - Occasional Talk and hear - Frequent Use close vision, depth perception, and ability to adjust - Constant Travel between facilities (drive) - Occasional Stand - Occasional Climb Stairs - Occasional Weight - Frequency 25 pounds - Occasional Work Environment Work Environment While performing the duties of this job, the Stakeholder is occasionally exposed to moving mechanical parts, fumes or airborne particles, toxic or caustic chemicals, and outside weather conditions. The noise level in the work environment is usually moderate. Supervision Supervision <ul><li>Follows well established policies and practices as assigned by immediate supervision.</li> <li>Follows specific, detailed instructions as to tasks, methods and results.</li></ul> EEO Statement The NORDAM Group LLC is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

Nordam Group

MASTER DATA ANALYST I

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems. Our <a href="https://www.coinbase.com/mission" target="_blank">work culture</a> is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be. The 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 (ie. job duties): Your primary responsibilities will include building tools and products that enhance data science productivity, enable self-serve analytics, and ensure data reliability and quality. This role deals specifically with blockchain data. More specifically: <ul> <li> Data modeling: Design data models that support our data scientists in leveraging blockchain data in their analysis.</li> <li> Data transformation and tooling: Build tooling and pipelines for getting blockchain data from APIs, Files, and Databases into a clean and useful format.</li> <li> Data quality tooling: Build mechanisms of data quality measurement and enforcement. Ensure reliability and completeness of data.</li> <li> Scrappy &amp; creative problem solving: Get creative in applying blockchain knowledge to write heuristics and models that answer questions about what is happening on chain.</li> </ul> <ul> <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> Self-serve analytics: Enable stakeholders to self-serve their own analytics by making blockchain data available and approachable.</li> </ul> What we look for in you (ie. job requirements): <ul> <li> Blockchain data experience: You should know about blocks, transactions, token transfers, contract calls, account and UTXO models and labeling etc. Deep understanding of blockchains is a must. You will likely have used tools like Dune and Arkham before.</li> <li> Python: Must be adept at coding in Python. Go is a plus. Major experience with one or more modern languages is essential, particularly for data oriented tasks.</li> <li> SQL: Must have expert SQL experience for querying, transformation, and performance optimization. Experience with other types of DBs like graph databases and key-value stores is a plus.</li> <li> Data Compute Frameworks: Experience with data compute frameworks such as Spark, Flink, Beam etc. are a plus.</li> </ul> <ul> <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> Data Visualization: Experience with tools like Superset, Hex, 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. Experience with modeling for blockchain data or financial data is a plus.</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 git repository management, Docker, kubernetes etc.</li> <li> Prompt Engineering for LLMs: Expertise in leveraging LLMs and AI tools in your workflow, knowing where and how to apply them. Work with embeddings and vector search is a plus.</li> </ul> G2754 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 + benefits (including medical, dental, vision and 401(k)). Pay Range: $207,000—$244,000 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. <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>

119 Data Science Jobs in Tulsa, OK, USA