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Data Science Lead

Please apply with a resume and cover letter by November 30th, 2021. We will be reviewing applications on a rolling basis after the application deadline.

In a nutshell:

IDEO is looking for a product focused data scientist to join our European team, either in London or Munich. 

We’re looking for people who can creatively apply exploratory data analysis, data science and algorithm design in the real world, who are keen to work in multidisciplinary teams and have an appetite to continuously learn new things (both technical and non-technical) independently. Someone that knows what it is like to launch a new product in the market and can reason with data about new business opportunities and ideas. 

This position is for a January 2022 start. We will be reviewing applications and conducting interviews in the coming weeks.

Why is this role important for IDEO’s work?

IDEO is growing its data science capability and team in Europe, in service of using AI to make things better for humans. As a Data Scientist, you will help design intelligent systems, products, services, and experiences. We count on our Data Scientists to lead data efforts on project teams with data-augmented thinking and provide expertise on the positive potential of intersecting intelligent technologies with human-centred design.

Once here, you will:

Data scientists at IDEO are members of our client-facing design teams, contributing to every part of our process: user research, prototyping, communication, proposal writing, client relationship development, and consulting.

We count on data scientists to guide and support project teams in how data should (or shouldn’t!) play a role in what we design, provoke discussions about the privacy and ethics of data and algorithms, help design compelling data visualizations, and bring their expertise in prototyping machine learning and other algorithms. Data scientists also design and conduct experiments with users to among other things measure the impact a design direction will have on a product. We also collaborate with and consult our client organizations on how to build solutions, providing guidelines and support on system's architecture, data infrastructure and tooling. 

As a data scientist at IDEO, you will:

  • Center your work on people. We go to work because we want to improve peoples’ lives through design. You’ll talk with and design alongside the people our designs affect, to develop a deep understanding of their needs and their context and develop solutions.
  • Partner with our clients. It doesn’t matter how smart or creative our work is if it isn’t viable for our client’s business. You’ll get to know our clients’ values, strategy, and structure so that you can be an effective partner and make things happen. You will also help build an understanding of our client data capabilities from a technology and skills perspective. 
  • Create tangible things, quickly. One of our values is “talk less, do more” and our work often requires quick iteration over perfection. You’ll perform data analysis, create visualizations/simulations, and implement statistical/machine learning/optimization algorithms — learning new techniques and tools as necessary to generate useful learnings and insights to drive product decisions.
  • Shape data science at IDEO (and beyond!). We believe the “AI” revolution hasn’t happened yet — and that we have an opportunity to help conceive of a new way of practising data science that improves business and society. You’ll explore approaches to practising data science and share stories inside and outside IDEO of what you’ve learned along the way.
  • Collaborate with inspiring colleagues. We’re a passionate and creative community from a variety of backgrounds: anthropology, software development, graphic design, management, journalism, architecture, engineering, and more. You’ll learn from people from a uniquely broad variety of backgrounds and translate concepts between them.
  • Make connections. We work across industries on projects that range from the earliest stages of design and strategy to later phases of bringing new products and services to market. You’ll work to see patterns across these contexts, and apply what you’ve learned in one context to another.

What we’re looking for

We’re looking for candidates who are:

  • Excellent at quantitative reasoning. You understand what data can and can’t tell us, can communicate that to others, and conceptually understand when to apply particular quantitative techniques.
  • Coding generalists. You are fluent at writing code to extract, transform, load (ETL), analyse, visualize and understand data, as well as implementing algorithms in code (but don’t necessarily need to know about production software engineering).
  • A passion for products. You have experience designing, building and launching products in the market. You use data not only to build machine learning models and deploy them, but also to help businesses grow following an evidence-based approach such as growth hacking and experiments in early-stage product development. 
  • Committed to equity and inclusion. You proactively and humbly learn about systems of oppression, how they shape our surroundings, and how we might interrupt them. You seek ways to help everyone feel like they belong.
  • Motivated to create. You are motivated by progress over perfection, and learn new tools as necessary to make progress on the design task at hand.
  • Curious and rapid learners. More important than what you already know is how you learn and teach on the job. Are you knowledgeable about the latest tools and techniques? Great! We want you to share it with others. If you aren’t, that’s fine, as long as you’re excited and able to learn how and when to apply them.
  • Excellent communicators and collaborators. You have exceptional verbal and written communication skills, can understand our client’s organizational and business context, and can effectively collaborate with a range of people.

Through the interview process, we’ll be looking for evidence of these qualities, we don’t require your technical skills to show up in a particular way or specific framework/tool. However, we want to hear about your experience and passion for building products and working with others to make these successful. We recognize these qualifications may be embodied differently — in fact, we get most excited by new ways people embody these that add something new to our team!

Likewise, we don’t have a specific requirement for degrees or years of work experience. However, we have observed that many of these qualifications are developed through full-time work experience (either as a data scientist or something else entirely), participation in community organizations, open-source software projects, graduate academic research, startup founder, or something else.

Our Commitment to Diversity, Equity, and Inclusion

At IDEO, we are committed to the work of advancing diversity, equity, and inclusion within our organization and in the world. We have a collective responsibility to design new systems. We have attempted to do so in some of our work, but we have not moved as quickly or as boldly as we should have. We cannot be successful until we re-examine our values, our relationships, and how we practice design itself. 

We are committed to equity across IDEO in talent, training, community, design, and culture. A lot of work is being done to bring us closer to realizing this goal, but we’re still early in our learning journey towards understanding what it means to become an equitable organization. As we are continually working towards and providing attention to diversity, equity, and inclusion, we are looking for candidates who are committed to continuing this work with us.

Application Instructions

Please apply with a resume and cover letter by November 30th, 2021. We will be reviewing applications on a rolling basis after the application deadline.

 

Equal Opportunity Employer

IDEO is an equal opportunity employer; applicants are considered for all roles without regard to race, color, religious creed, sex, national origin, citizenship status, age, physical or mental disability, sexual orientation, marital, parental, veteran or military status, unfavorable military discharge, or any other status protected by applicable federal, state or local law.

Apply now
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