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Dashlane // digital identity management
Engineering, Full Time    New York, New York    Posted: Friday, April 10, 2020
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Do you like data?Do you enjoybeing challenged & personally having an impact on the direction of an award-winning product? Do you know how to translate your findings into actionable insights & effectively communicate those ideas? If so, then come join Dashlane as a Data Scientist & take part in a mission to drive decisions that have a global impact.

Dashlane is a password manager & online security app for everyone who lives, works, & plays on the internet. With a simple, intuitive design & patented security technology, Dashlane keeps passwords, personal data, & payment info at people's fingertips, so they can stop guessing passwords & wasting time filling out forms. Dashlane has helped over 11 million users in 180 countries manage & secure their digital identities & has enabled over $17 billion in e-commerce transactions. Our team in Paris, New York, & Lisbon is united by our passion for password security & the belief that our success is built on the diverse backgrounds of every member.

As a Lead Data Scientist you will be a key member of an international team committed to building the best online identity & security app - & be a part of our data-driven culture where the insights you make affect every person in our company. You will work alongside a broad mix of stakeholders including data analysts, data engineers, product managers, engineers, marketers & user researchers. You will influence the direction of our apps & as well as the features that we will release. You will be leading & mentoring a team of3super talented data scientists that are continuously working on top-line revenue-related projects that are at the front end of our business.
This position can be based inNew Yorkor in Paris.

At Dashlane you will:

Lead & mentor a small but very talented team, that is constantly working on high exposure & high impact projects

Work with all parts of the company, including Product, Marketing, Engineering, Finance, & other teams, to help answer questions about our users through the use of algorithmic methods (e.g. clustering, predictive modeling, etc)

Develop research questions & undertake data exploration to understand who our users are, how they get value from Dashlane & what we can do to develop our product to bring greater values

Work with our data engineering team to build production-grade tools for our data modeling

Define, evaluate, & monitor key metrics tounderstand root causes of change

Explore our data to understand & optimize the performance of machine learning systems.


5+ years as a data scientist

5+ years working with SQL

5+ years using various machine learning tools

3+ years of experience in programming with Python

We're Also Looking For:

An advanced degree (Masters or Ph.D.)

Experience managing or mentoring

Experience with BI tools such as Tableau

Demonstrated ability to build ML algorithms, not just apply pre-built tools

Advanced knowledge of experimental design

Ability to effectively communicate results

Has applied machine learning to actual business problems, not just school projects

Diversity at Dashlane:
A truly international company, founded in Paris & currently split between Paris, New York, & Lisbon, we thrive off diverse perspectives. We recognize that diversity has different aspects: gender, sexual orientation, ability, ethnic origin, social background, age, lifestyle, & more. We're committed to hiring people that create a diverse community & foster a culture where everyone is heard & feels a sense of belonging.

Your interview experience:

To know what to expect once you've sent your application, read about how we interview & hire at Dashlanein this blog articlewritten by our Talent team. Feel free to browse our blog to find more information about our product & how we work.

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