As a Senior Data Scientist, you will partner with product teams to help them identify important questions and answer those questions with data. You will work closely with product managers, designers, and engineers to develop key product success metrics, set targets, measure results, and outcomes, and size opportunities.

Your responsibilities will include designing, building, and updating end-to-end data pipelines, working closely with stakeholders to drive the collection of new data and the refinement of existing data sources and tables. You will also partner closely with product researchers to build a holistic understanding of our customers, products, and business.

You will influence our product roadmap and product strategy through experimentation, exploratory analysis, and quantitative research. You will build and automate actionable models and dashboards, craft data stories, and share your findings and recommendations across R&D and the broader company.

You will drive and shape core RAD foundations and help us improve how the RAD org operates.

We are looking for someone with 5+ years of experience working with data to solve problems and drive evidence-based decisions. You should have excellent SQL skills and experience of applying analytical and statistical approaches to problem-solving. You should also have a proven track record of initiating and delivering actionable analysis and insights that drive tangible impact with minimal supervision.

Excellent communication skills (technical and non-technical) and a focus on driving impact are essential. A strong growth mindset and sense of ownership, innate passion, and curiosity are also required.

Experience with a scientific computing language (such as R or Python) is necessary. Experience with BI/Visualization tools like Tableau, Superset, and Looker is a bonus. Experience working with product teams and leveraging AI tools to boost efficiency and creativity across the data science workflow is also desirable.

We offer a competitive salary and equity in a fast-growing start-up. We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen. Regular compensation reviews, life assurance, comprehensive health and dental insurance, open vacation policy, flexible holidays, paid maternity leave, and 6 weeks paternity leave are also part of our benefits package.

Our working policy is hybrid, with employees expected to be in the office at least three days per week. We have a radically open and accepting culture, avoiding divisive subjects to foster a safe and cohesive work environment for everyone.

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At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world's largest networks that powers millions of websites and other internet properties, from individual bloggers to Fortune 500 companies, protecting and accelerating them without adding hardware, installing software, or changing a line of code.

Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. Cloudflare was named to Entrepreneur Magazine's Top Company Cultures list and ranked among the World's Most Innovative Companies by Fast Company.

The FinTech Data Science team is central to Cloudflare's innovation and harnesses the massive amount of data generated by our network. We cover a broad scope, from optimizing Billing and Revenue operations to detecting Fraud, and possess a unique opportunity to use these insights to discover new products or transform existing ones.

About the Role

We are looking for an Analytics Engineer to join our FinTech Data Science team who cares deeply about data quality and usability. Sitting at the intersection of data engineering and analysis, you will be the architect of our data layer. While our Data Scientists focus on automating decisions, you will focus on the 'truth' of the data , ensuring that the tables and dashboards powering our decisions are accurate, accessible, documented, and reliable.

You will transform raw tables into canonical data models and own the presentation layer that leadership uses to monitor the health of our business. If you are excited to build the foundational data infrastructure that powers a multi-billion dollar fintech operation, we would love to hear from you!

Day-to-day responsibilities include:

• Build out the canonical data schema for FinTech and related organizations by designing and maintaining well-structured, modular, and user-friendly data tables.

• Design, develop, deploy, and operate high-quality production ELT pipelines and data architectures, integrating data from various sources and formats.

• Architect and maintain the presentation layer in BI tools (e.g., Looker/Superset) to ensure dashboards are performant and provide a seamless self-serve experience.

• Act as a strategic partner to stakeholders by translating vague business questions into concrete technical solutions that drive business value.

• Ensure data is accurate, complete, and timely by implementing robust testing, monitoring, and validation protocols for your code and data.

• Establish and share best practices in performance, code quality, data governance, and discoverability while participating in mentoring initiatives.

Required skills, knowledge, and experience:

• 5+ years of experience in Analytics Engineering, Data Engineering, or related roles working with big data at scale.

• Expert-level SQL and proficiency in a high-level scripting language (e.g., Python, R, or Scala) for data automation and manipulation.

• Experience with workflow management tools (e.g., Airflow) to schedule and monitor complex data pipelines.

• Strong experience with dbt or similar frameworks for transforming data in the warehouse.

• Deep experience with BI tools (e.g., Looker, Superset, or Grafana) and a strong understanding of how to structure data for downstream consumption.

• Solid foundation in software best practices, including version control (Git), CI/CD, and data testing/quality frameworks.

• Ability to operate comfortably in a fast-paced environment and take ownership of projects with minimal oversight.

• Excellent communication skills with the ability to bridge the gap between technical engineering terms and business requirements.

• A learning mindset and exceptional curiosity,eagerly diving into new domains and bringing informed ideas to the table.

Bonus Points

Experience in FinTech

What Makes Cloudflare Special?

We're not just a highly ambitious, large-scale technology company. We're a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare's enterprise customers,at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use,it is the first consumer-focused service Cloudflare has ever released.

Here’s the deal,we don't store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

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Foundational Data team: Our mission in the Foundational Data team is to build and maintain high-quality datasets frequently used across all of Airbnb. We set company-wide standards that decide how locations are grouped into regions, visitors are measured based upon site traffic, bot traffic is separated from organic traffic, and cloud costs are attributed to Airbnb services. This data is used to build public financial reports, drive strategic marketing decisions, and manage operational costs.

AirCover Data Foundation: The AirCover Data Foundation team is responsible for providing trustworthy, consistent data and metrics to facilitate business insights, informed decision-making, and seamless operations across Airbnb's AirCover programs, such as Guest Travel Insurance, AirCover for Hosts, and AirCover for Guests.

As a Staff Analytics Engineer, you will bring a unique lens to our data strategy and provide in-depth technical mentorship and leadership to the team. We are looking for someone with expertise in data modeling, metric development, and large-scale distributed data processing frameworks like Presto or Spark.

Leveraging our internal, top-tier data tooling alongside other resources, you will empower both technical and non-technical teams across Airbnb to utilize our data for making decisions grounded in evidence. Staff-level engineers are expected to do this with a minimal amount of supervision. We value innovative thinkers who consistently seek smarter and more efficient solutions while managing daily operations, deadlines, and collaborating with team members.

A Typical Day:

• Develop high-quality data assets to satisfy a wide range of use-cases
• Develop frameworks and tools to scale insight generation to meet critical business and infrastructure requirements
• Collaborate and build strong partnerships with other data practitioners throughout Airbnb
• Influence the trajectory of data in decision making
• Improve trust in our data by championing for data quality across the stack

Your Expertise:

• 9+ years of experience with a BS/Masters or 6+ years with a PhD
• Fluent in SQL and proficient in at least one data engineering language, such as Python or Scala
• Expertise using business intelligence and reporting tools like Superset and Tableau
• Expertise in large-scale distributed data processing frameworks like Presto or Spark
• Expertise in data modeling for data warehouses and/or metrics repositories
• Experience with an ETL framework like Airflow
• Clear and mature communication skills: ability to distill complex ideas for technical and non-technical stakeholders
• Ability to provide technical leadership and mentorship, guiding teams on best practices and contributing to the development of analytic engineering strategies
• Experience exploring and leveraging LLM AI’s in everyday tasks (coding, documentation, etc…)
• Strong capability to forge trusted partnerships across working teams

Nice to have:

• Scaling data tasks via automation
• Previous experience in large-scale cloud-based software engineering or system architecture
• Experience with AB experimentation
• Familiarity with AI/ML algorithms, including their dependencies on data, as well as their respective strengths and limitations
• Designing and/or leveraging high-quality data visualization tools

Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states.

Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com.

How We'll Take Care of You: Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. Pay Range $194,000-$240,000 USD

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The Security team's goal is to identify, measure, manage, mitigate, and report risk associated with products to keep our customer's funds and data safe. You will collaborate with program sponsors and cross-functional Security partners to identify, document, and objectively assess opportunities, challenges, and risks across traditional and novel Security domains using qualitative and quantitative factors, including KRIs and KPIs.

You will serve as the Directly Responsible Individual (DRI) for key security initiatives or workstreams when required, owning outcomes and driving decision-making to keep programs moving forward. You will create program strategies and artifacts, including proposals, prioritization frameworks, roadmaps, dependency maps, and risk registers, to drive initiatives that incrementally increase program maturity over time.

You will partner with Product, Engineering, and Security teams to influence adoption of critical initiatives, navigate technical dependencies, and support the Software Development Lifecycle (SDLC) as part of product and feature launches. You will concurrently manage multiple critical projects end-to-end: establishing milestones and timelines, managing cross-functional workstreams and dependencies, holding teams accountable for deliverable quality, and clearly communicating the impact of delays on project timelines and security risk posture.

You will provide program status to Security leadership while ensuring transparency on key metrics, program effectiveness, strategic direction, and changes. You will conduct regular data analysis on security control performance to identify trends, anomalies, and areas for improvement, leveraging BI tools to drive data-informed decisions.

You will drive process improvement and scaling initiatives within security programs by leveraging AI tools, automation, and retrospectives to optimize workflows, reduce manual toil, and achieve outcomes efficiently. You will author Objectives and Key Results (OKRs) to focus teams on the right short-term and long-term goals, and manage change across complex multi-quarter programs.

You will rapidly identify and escalate risks to enable proactive collaboration and timely resolution.

We're looking for a Technical Program Manager II with a strong understanding and proven experience of formal program management methodologies, working knowledge of and experience in cyber/security domain, fluency in leveraging AI in daily workflows to enhance efficiency, drive process improvements, and deliver high-quality, business-ready outputs.

You should have exceptional skills in time management, facilitation, communication, and organization, ability to translate complex concepts simply for varied audiences, experience managing cross-functional teams and stakeholders, and comfortable navigating ambiguity and operating in environments where processes and paved roads may not yet exist.

Nice to haves include professional certification such as PMP, CISSP and CISA, working knowledge of and experience in the technology and/or financial technology industry, experience working across all the three lines of defense (3LOD), and advanced understanding of Generative AI, Google Workspace, JIRA, Linear, Superset, Looker and SQL.

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About the team

The Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem. We are dedicated to identifying emerging abuse trends, analysing risks, and working with our internal and external partners to implement effective mitigation strategies to protect against misuse. Our efforts contribute to OpenAI's overarching goal of developing AI that benefits humanity.

About the role

We are looking for a data visualization analyst who can turn complex intelligence and forecast outputs into clear, interactive visual stories that shape how OpenAI manages risk. In this role, you build the dashboards, maps, and visual frameworks that leadership and partners rely on to understand where risks are emerging, how they evolve over time, and which mitigations matter most.

In this role, you will

Design and build dashboards and interactive visualizations that track:

• Emerging safety and abuse risks across products and geographies.

• Geopolitical developments that affect OpenAI's risk posture.

• Key abuse cases and incident trends using both structured and unstructured data.

Develop interactive risk views such as:

• Prioritization heat maps for safety and abuse scenarios.

• 'Emerging risks' boards with drill-downs for deep dives.

• Forecast views of risk trajectories, including scenario comparisons over time.

Partner with analysts and investigators to:

• Translate narrative intelligence, case studies, and OSINT into visual formats.

• Standardize how we visualize incidents, metrics, campaigns, and risk clusters.

• Iterate quickly on visual prototypes in response to ongoing investigations or emerging crises.

Collaborate with data science, Safety Systems, Integrity, Global Affairs, and Product teams to:

• Ingest and align data from multiple internal systems and external sources.

• Ensure visualizations are accurate, timely, and consistent with existing metrics and taxonomies.

• Build views that are directly usable in leadership reviews, safety councils, and partner briefings.

Establish and maintain a visual 'source of truth' for:

• Top strategic risk themes and their evolution over time.

• Cross-geography views (e.g., markets, supply chains, infrastructure) for safety and geopolitical risk.

• Key mitigations and owners linked to specific risk categories or regions.

• Create templates, style guides, and reusable components so that the team can rapidly produce consistent, high-quality visual materials (dashboards, one-pagers, workshop materials, and exec reviews).

You might thrive in this role if you

• Significant experience (typically 4+ years) in data visualization, business intelligence, or analytics, ideally in security, trust and safety, intelligence, risk, or policy environments.

• Demonstrated expertise with at least one major data visualization / BI stack (e.g., Tableau, Looker, Power BI, Mode, Superset, or equivalent), including building interactive visualizations and dashboards.

• Strong visual design skills and the ability to communicate complex information in a clear and concise manner.

• Excellent collaboration and communication skills, with the ability to work effectively with cross-functional teams.

• Strong problem-solving skills and the ability to adapt to changing priorities and deadlines.

• Experience with data storytelling and the ability to turn complex data into compelling narratives.

• Familiarity with OpenAI's products and services, or a strong desire to learn about them.

• A passion for using data to drive decision-making and improve outcomes.

• A commitment to delivering high-quality work and meeting deadlines.

• A willingness to learn and grow with the team and the company.

What we offer

• Competitive salary and benefits package.

• Opportunity to work with a talented and diverse team of professionals.

• Collaborative and dynamic work environment.

• Professional development opportunities and training.

• Flexible work arrangements and remote work options.

• Access to cutting-edge technology and tools.

• Recognition and rewards for outstanding performance.

• A fun and inclusive company culture.

How to apply

If you are a motivated and talented data visualization analyst looking for a new challenge, please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you!

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