• Drive high performance data acquisition, preparation and synthesis pipelines to generate data for the next generation of speech and language AI foundation models • Develop advanced characterizations of complex conversational audio utilizing a diverse toolkit of signals processing techniques and deep learning models • Collaborate with DataOps and Engineering to create automated systems which scale the ability of human annotators to label high value data and provide critical feedback on model outputs • Build advanced benchmarking methodologies and curated datasets for evaluating conversational voice systems • Document and present results of data experiments and analysis for internal and external audiences

At Webflow, we’re building the world’s leading AI-native Digital Experience Platform, and we’re doing it as a remote-first company built on trust, transparency, and a whole lot of creativity. This work takes grit, because we move fast, without ever sacrificing craft or quality. Our mission is to bring development superpowers to everyone. From entrepreneurs launching their first idea to global enterprises scaling their digital presence, we empower teams to design, launch, and optimize for the web without barriers. We believe the future of the web, and work, is more open, more creative, and more equitable. And we’re here to build it together. We’re adding a Senior Data Scientist to our team to help inform the future of Webflow with data by building a deep understanding of how our customers create for the web using our product. You’ll partner directly with key product, engineering, and design stakeholders to identify interesting business questions and provide the data and quantitative analysis to answer them, leading the development of KPIs and helping teams understand how to improve our product. You will also work with our analytics and data engineering partners to mature our data foundations, including data logging, pipelines, as well as high quality source-of-truth tables. About the role: - Location: Remote-first (United States; BC & ON, Canada) - Full-time - Permanent - Exempt - The cash compensation for this role is tailored to align with the cost of labor in different geographic markets. We've structured the base pay ranges for this role into zones for our geographic markets, and the specific base pay within the range will be determined by the candidate’s geographic location, job-related experience, knowledge, qualifications, and skills. - United States (all figures cited below in USD and pertain to workers in the United States) - Zone A: $150,100 - $188,100 - Zone B: $141,600 - $176,700 - Zone C: $132,100 - $165,300 - Canada (All figures cited below in CAD and pertain to workers in ON & BC, Canada) - $171,000 - $213,800 This role is also eligible to participate in Webflow's company-wide bonus program. Target amounts are a percentage of base salary and vary by career level. Payouts are based on company performance against established financial and operational goals. Please visit our Careers page 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. - Application Information: - Application deadline: applications accepted on an ongoing basis until position is closed and filled - This posting is for an existing vacancy. - Reporting to the Director, Data Science. As a Senior Data Scientist you’ll … - Enable our product teams to think strategically with key stakeholders about how customers engage with Webflow, identifying and executing on high impact growth opportunities with actionable insights - Define product and business success metrics, building tools for monitoring and surfacing drivers of KPIs (Key Performance Indicators) - Lead technical and non-technical team members with processes and technical expertise for executing experiments, answering open ended business questions with data, and researching levers for improving our product. - Develop our data foundation, experimentation and machine learning capabilities, collaborating on our strategic roadmap for building new pipelines and tools that contribute to our connected, complete understanding of our customer journey and improve our customer experience. We currently use Snowflake, DBT, Tableau, and Fivetran and are working with our Data Engineering collaborators on scaling our platform capabilities with a number of other tools! About you:Requirements: - Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience - Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent - 4+ years of work experience in analytics, data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) — minimum of 2 years with a Ph.D. - 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution — including defining metrics, experiment design, and communicating actionable insights You’ll thrive as a Senior Data Scientist if you: - Demonstrated experience contributing to a strategic roadmap, providing high-quality reproducible analysis that impacts company strategy and decision-making - Expertise in applied statistics (e.g. predictive modeling, hypothesis testing, regressions), segmentation, and experimentation (e.g. A/B testing) in an industry setting - Experience mentoring and developing the technical skills of team members, helping to build a collaborative data science practice - Curiosity about diving into the nuances of business and product data in a fast-paced, sometimes ambiguous environment - Strong communication skills with both technical and non-technical audiences - Familiarity with Snowflake, DBT, Tableau, and/or Fivetran is a plus - Openness to building fluency in emerging technologies like AI to unlock creativity and amplify impact - Stay curious and open to growth — actively building fluency in emerging technologies like AI to unlock creativity, accelerate progress, and amplify impact. Our Core Behaviors: - Build lasting customer trust. We build trust by taking action that puts customer trust first. - Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act. - Reinvent ourselves. We don't just improve what exists, we imagine what's possible. - Deliver with speed, quality, and craft. We move fast because the moment demands it, and we do so without lowering the bar. Benefits - Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company. - Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums. - Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions. - Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired. - Wellness for the whole you. Access to mental health resources, therapy and coaching. - Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally. - Monthly stipends that flex with your life. Localized support for work and wellness expenses — from Wi-Fi to workouts. - Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program. Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment. Remote, togetherAt Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records. Stay connectedNot ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog, LinkedIn, X (Twitter), and/or Glassdoor. Please note:We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for confidential accommodation requests will be administered. To join Webflow, you'll need a valid right to work authorization depending on the country of employment. If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes. For information about how Webflow processes your personal information, please review Webflow’s Applicant Privacy Notice.

• Analyzing large sets of data to differentiate legitimate and fraud traffic • Developing and implementing detection rules and models to improve the accuracy and effectiveness of the security products. • Improving processes to collect, manipulate, present, and analyze large datasets in a production-ready environment • Troubleshooting production issues in a very distributed environment

• Support the data scientist team with product development and model research • Apply knowledge of statistics, programming, data modeling, and other mathematical techniques • Conduct analysis and derive insights from unexpected findings • Work with Data Scientist and Product Engineer in defining and documenting methodologies • Participate in data exploration and conceptual design for strategic initiatives • Work with TPMs and product team to implement methodologies developed • Share and teach methodologies and approaches with other clients