Role overview
- 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.
Responsibilities
- 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.
Benefits
- 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.
Tags & focus areas
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