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VP of Data Science and Machine Learning

Typeform, Budapest
Employment type: 
Full time
Marketing, Presentation Skills, Analytics, Business development, Business Strategy, Strategy, Communication, Design, Finance, Leadership, Market Research, Research, Operations, Presentation, Python

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VP of Data Science and Machine Learning

About Typeform

Founded circa 2012 in Barcelona, Typeform was founded by two designers: David Okuniev and Robert Muñoz. Their mission? Make online forms a little more human. Today, Typeform works on the future of online forms. Powering your brand’s interactions with beautifully designed, professional-looking online forms that people just love. Create forms, surveys, quizzes (and so much more) to grow your audience, improve just about anything, and validate (or invalidate) your best ideas.

The most important interaction on the web is the exchange of information between a brand and its audience. And that exchange usually happens through online forms. We believe that even a utility like online forms should be remarkable. Our customers say they get more answers from their audience and even the occasional compliment. Make every interaction count.

Typeform is a team of over 200 people representing 30 countries. Typeform is backed by fantastic investors – General Atlantic, Index Ventures, Point Nine Capital, RTAventures, and Connect Ventures. We have offices in Barcelona, Spain and in San Francisco, United States.

 

About the Role

VP of Data and Machine Learning oversees all of Data Science and Machine Learning across the company. You manage a cross-functional team of Data and Machine Learning Engineers, Data Analysts, and Scientists and Market Researchers that provides critical insights to decision-makers in Marketing, Product, Customer Success, and other business functions. In partnership with Product and the Head of R&D, you will develop machine learning models that turn static web forms into dynamic conversational interfaces to elevate the experience of information exchange between consumers and businesses.

You will work with data engineers to further develop a scalable data infrastructure that enables activity tracking, multi-touch attribution, audience profiling, and other analytics. You will also design and develop a world-class machine learning infrastructure and production environment.

You will work with Data Analysts and Scientists to analyze customer behavior and customer journeys and build a multi-touch attribution model. You will partner with marketing to optimize marketing investments and identify optimal communication channels and strategies. You will develop and maintain models to predict engagement, LTV and retention to help product and customer success identify, prioritize and measure the impact of actions that drive customer value. You will operate the Data Science services organization that helps teams make data-driven decisions and that owns and continues to improve our A/B and MVT experimentation practices.

Together with Product and R&D, you will work on the future of data collection and communication between businesses and their customers. Your team will build models that turn our forms into dynamic interfaces that adapt to consumer inputs, provide feedback and offer an experience that resembles interaction with another human.

To be successful across those many areas, you will continuously recruit top talent, coach and grow the existing team and create an environment where data scientists and engineers can thrive.

 

Responsibilities

 

  • Lead, develop, execute and maintain  a vision and strategies to drive significant improvement within the Data & Analytics organization.
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