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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.
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.
This role is based in Boston, MA and requires a weekly hybrid on-site component.
How you'll make a difference:
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.
Who you are:
Nice to have:
The pay range for this role is listed below. Sales roles are also eligible for variable compensation and hourly non-exempt roles are eligible for overtime in accordance with applicable law. This role is eligible for benefits, including: medical, dental and vision coverage, health savings accounts, flexible spending accounts, 401(k), flexible paid time off and company-paid holidays and a culture of learning that includes a learning allowance and access to a professional coaching service for all employees.
Get to Know Klaviyo
We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
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