• You should have 6+ years of experience in machine learning or data science, and have already led the development of multiple advanced models in the recommender, NLP, or related areas. You should have at least 2+ years of management experience
• 8+ years professional machine learning or data science experience, ideally at a product-led company
• 2+ years experience directly managing teams of 3+ people, including career development, performance management, and hiring
• Developed technical roadmaps for solving complex business problems using ML in partnership with stakeholders such as Product, Engineering, Data Science
• Led the development of complex models on massive data sets that power customer-facing features through the entire ML lifecycle including data collection and cleaning, model training and validation, deployment, and maintaining/monitoring in a production software environment
• Experience in at least one of NLP, reinforcement learning, deep learning, or recommender systems

Desirable

• As the Data Science Manager for the ML Research team, you will help build foundational models at Klaviyo that extract insights from the massive streams of data that Klaviyo ingests continuously. You’lll lead the ML Research team to apply cutting edge techniques from deep learning, language modeling, recommender systems, and more to generate value for our customers by allowing them to target and personalize their messages
• You’re a hands-on manager, and you will be a leader within the organization helping to set the standard for excellence, and will amplify your own impact by guiding and developing your team members
• 30 days
• You will have finished on-boarding including engineering and DS specific on-boarding, your local developer environment is set up and usable. You will have met multiple members of the Data Science team and are starting to familiarize themselves with both the Klaviyo product and the data sources available to them. You are already engaged in ML Research team processes
• 60 days
• You will understand how to train and test models in Klaviyo. You will have developed an opinion about the projects that the ML Research team has in flight and are actively providing feedback to team members and contributing code and reviews. You will have taken over the team processes for the ML Research team
• 90 days
• You are helping set the direction and roadmap for your team, including leading processes such as quarterly planning. In partnership with your manager, you will be regularly in conversation with Product and Engineering stakeholders to make sure your team’s work remains aligned with company priorities
• Up to 1 year
• You will have led the development of multiple impactful models that use Klaviyo’s data, which have been put into production and are generating value in novel and powerful ways for our customers. You are regarded as a valuable partner by other teams, especially data scientists who rely on the ML Research team’s models to supercharge their own work. You continue to deliver new and innovative solutions to ML problems Klaviyo faces and find new ways to generate value for our customers from Klaviyo’s data