Emma

Senior Data Scientist- Marketing Intelligence (Fixed-Term)

Remote, United States remote Entry Salary not listed
remote Technology & IT Curated
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About the role

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 Data Science team and collaborate closely with a talented group of Data Engineers, Analytics Engineers and Data 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 ideally have hands-on experience with marketing measurement methodologies, particularly Media Mix Modeling (MMM) and multi-touch attribution (MTA), including model design, calibration, and translating outputs into actionable investment recommendations.

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.

What we offer:
Maturing Scale-Up: We’re part of the 13–20% of start-ups that transition to scale-up. This is a rare stage where we refine systems without losing agility. It’s where start-up energy meets scalable impact - and where people can build the next version of Emma.
Empowerment to Impact: Every Emmie owns part of our success with accountability. It’s about seeing it, owning it, doing it – something that is valued and measured in development.
Growth & Learning Journey: We live by the 70/20/10 model – with 70% on the job, 20% from others, 10% structured training. We invest in your growth with trainings and coaching to get you to the top of your game.
Emma-zing Community: We hire selectively which means working with smart, collaborative people who care deeply. It’s a community built by Emmies for Emmies.
Next Level Global: With 60+ nationalities across 4 offices, global collaboration is part of our values. You’ll work across cultures, perspectives, and time zones.

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!
Originally posted on Himalayas

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Role
Technology & IT Data Analysis Python Senior Data Scientist remote

Likely questions

  1. Tell us about work you have done that is close to the Senior Data Scientist- Marketing Intelligence (Fixed-Term) role.
  2. How would you approach your first 30 days at Emma?
  3. Which of Data Analysis, Python and Senior have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you stay organised and communicate clearly when working remotely?

Prepare before the call

  • A recent example that proves your experience with Data Analysis, Python and Senior.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Senior Data Scientist- Marketing Intelligence (Fixed-Term) role because I can bring practical experience in Data Analysis, Python and Senior, learn the team quickly, and contribute to the outcomes Emma needs from this hire.

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