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Emma – The Sleep Company
Emma – The Sleep Company

(Senior) Data Scientist- Marketing Intelligence

Location

Remote restrictions apply
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Salary Estimate

N/AIconOpenNewWindows

Seniority

Senior

Tech stacks

Machine learning
Marketing strategies
Data
+26

Permanent role
3 days ago
Apply now

Ready to lead, disrupt and reinvent the sleep industry?

We are Emma – The Sleep Company. Founded in 2015, we’ve become the world’s largest D2C sleep brand, available in over 35 countries with more than 25 stores across Europe. Recommended by leading consumer associations in EMEA, APAC, and the Americas, we develop the best sleep comfort products that empower our customers to awaken their best every day.

At Emma, we are a community of smart, driven people, united by a strong culture of collaboration, teamwork, and knowledge sharing. We think big, take ownership, and are empowered to drive meaningful impact. Through hands-on experience, mentorship, and continuous learning, we drive our own growth and learning. With Emmies from over 60 nationalities and offices across multiple regions, our diverse perspectives enrich our workplace culture. Ready to shape the future of sleep with us? Let’s make it happen!

What you'll do:

  • You will create cutting-edge models and solutions to enhance and streamline marketing decision-making processes, seamlessly integrating them into our market-leading technology platform.
  • You will assess the effectiveness of our marketing initiatives by employing advanced techniques such as attribution analysis, incrementality tests, and media mix modeling. As well as translate the resulting insights into actionable strategies that will guide our marketing budget allocation.
  • You will leverage your expertise in handling extensive data sets to conduct comprehensive analyses from start to finish, including data preparation, modelling training, and thorough evaluation.
  • You will own, improve and promote best practices and scientific models for Machine Learning, advanced statistics and predictive modeling within the team.
  • You will join a dynamic Marketing Intelligence team and collaborate closely with a talented group of Data Scientists, Engineers, and Analysts who bring diverse experience and skills to the table. Together, we will drive success across Emma's marketing efforts.

Who we're looking for:

  • You have an academic degree (Masters or PhD) in computer science, applied mathematics, data science, statistics or other related fields.
  • You have at least 3 years of experience working as a Data Scientist in an industry setting.
  • You have a solid and demonstrable knowledge of machine learning techniques and algorithms.
  • You have a strong experience with Python and its common machine learning libraries (e.g. sklearn, Tensorflow/PyTorch).
  • You have experience with cloud services (e.g., AWS), MLOps, and version control.
  • You ideally have first-hand experience in deploying, maintaining, and updating models in production.
  • You have experience working with business stakeholders (incl. gathering and translating business requirements into technical solutions, and explaining technical concepts to a non-technical audience).
  • You have excellent written and verbal communications skills.

Become an Emmie

Emma is transforming the world of sleep - and we want the highest-performing people to help us pull it off. We want you. But only if you're willing to go all in. Only if you're willing to question, disrupt, innovate, and create from the ground up.

We proudly celebrate diversity. We are an equal-opportunity employer committed to promoting inclusion in our workplace. We consider all qualified applicants for employment without regard to race, ethnic origin, religion or belief, gender, gender identity or expression, sexual orientation, national origin, disability, or age.

Our aim is to get back to you in a couple of days, however, we are currently receiving a large number of applications and this might lead to a delay in the process. We will get back to you as soon as possible!

About Emma – The Sleep Company

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