Senior Data Scientist, MarTech Alliance (f/m/x)

HelloFresh; Berlin; Hybrid; EUR 60.000 - 100.000; Vollzeit

Zusammenfassung

Join a dynamic tech powerhouse as a Senior Data Scientist in AdTech Measurement! You will play a pivotal role in optimizing marketing strategies and budget allocation through innovative statistical and machine learning models. Collaborate with a talented team of data scientists and cross-functional partners to enhance the company's marketing efficiency. This role offers you the chance to make a significant impact while enjoying perks like a subsidized pension scheme, relocation support, and a hybrid work model. Elevate your career in a diverse environment that values creativity and collaboration!

Leistungen

Subsidized Pension Scheme

Berlin Relocation Support

Hybrid Working Model

Discounts on HelloFresh Boxes

German Language Learning Budget

Access to HelloFresh Academy

Mental Health Support

Transportation Perks

24/7 Gym Access

Sabbatical Leave Options

Qualifikationen

• 3+ years experience as a data scientist in e-commerce.
• Strong knowledge of media mix and attribution models.
• Ability to analyze large datasets using SQL.

Aufgaben

• Design and implement models for marketing channel measurement.
• Collaborate with cross-functional teams to drive data strategies.
• Mentor junior data scientists and support team collaboration.

Kenntnisse

Python

Statistical Analysis

Machine Learning

SQL

Data Analysis

Critical Thinking

Ausbildung

Bachelor's in Statistics

Master's in Data Science

PhD in Mathematics

Tools

Numpy

Pandas

Scikit-learn

Git

Docker

AWS

Jobbeschreibung

The Role

Are you ready to have a huge business impact? As Senior Data Scientist for AdTech Measurement, you will be responsible to measure the incrementally of each of our marketing channels and activities within our media mix. Your work will be crucial to guide and optimize the allocation of HelloFresh’s massive marketing budget. Hence you will have a direct impact on the company’s goals to drive marketing efficiency.

In this role, you will design and implement statistical and machine learning models which take into account various data sources, ranging from experimentation results, to marketing spend as well as campaign performance metrics. Additionally, you will drive experiments to complement your models with ground-truth data.

To succeed in this role you will be curious, a fast learner, and someone who relentlessly prioritises problem statements and tailor the solution accordingly. You will be comfortable suggesting multiple solutions based on your experience, and prioritizing tasks based on effort and likely impact. As a senior member of the Data Science team , you will jump into problem solving with others as challenges arise, and coach junior members of the team to increase their skills and impact.

What you’ll do

• Join and become an integral part of an amazing and fun team consisting of highly skilled data scientists, analysts, and engineers
• Collaborate closely within cross-functional teams (engineering, product, marketing) to translate business objectives into concrete, data-driven strategies.
• Take technical ownership of our media-mix and attribution models from data collection to operationalization and closely align them with non-technical stakeholders
• Experiment and explore opportunities to constantly improve and refine the approaches
• Leverage statistical analysis and machine learning algorithms in development and production to enhance our incrementality measurements solutions
• Think out of the box to come up with new ways of how we can improve our data products we deliver to our stakeholders
• Mentor and support data scientists and colleagues, fostering a collaborative and knowledge-sharing environment.

What you’ll bring

• Proven track record of scientific work in your Bachelors, Masters or PhD in statistics, physics, economics, mathematics, data science or similar.
• Long-term (3+ yrs) work experience as a (senior) data scientist, preferably in an e-commerce environment
• Strong marketing domain knowledge as well as experience with media mix models and/or attribution models are a huge plus
• Fluency and long-term experience in Python, including high familiarity with its scientific stack such as Numpy, Pandas, Scikit-learn, Matplotlib, etc. (experience in Databricks is a plus)
• In-depth knowledge how to interpret experiment results, how to handle statistical uncertainties and how to apply statistical models such as regressors and classifiers
• Experience with bayesian forecasting models as well as sound understanding of estimating model uncertainties
• Ability to retrieve (using SQL), manipulate and analyse large, heterogeneous datasets and build data pipelines
• Familiarity with software development practices and tools (Git, Docker, AWS)
• You love to learn, are a critical thinker and creative problem solver who strives for excellence
• You are a team player who loves to collaborate and work with stakeholders from different backgrounds in an international environment
• Exceptional communication and collaboration capabilities.

What we offer

Elevate your lifestyle! Join one of Europe's fastest-growing tech powerhouses in a dynamic phase of expansion.

• Immerse yourself in a diverse global community of 90+ nationalities.
• Enjoy a competitive compensation package that goes beyond the norm, with perks like a HelloFresh- subsidized Pension Scheme, Berlin relocation support, and a Hybrid working model.
• Elevate your lifestyle with exclusive discounts on your weekly HelloFresh box and office meals.
• Invest in your growth with a German language learning budget, and access to the HelloFresh Academy.
• Plus, we've got your well-being covered with mental health support, transportation perks, and working-parent-friendly benefits. From our 24/7 gym access,wellbeing platforms like Headspace and Spill, to sabbatical leave options, HelloFresh is not just a workplace; it's a lifestyle of perks and possibilities!

Are you up for the challenge?

Please submit your complete application below including your salary expectations and earliest starting date.

After submitting an application our team will review this and get back to you within 5 business days.

We are HelloFresh

At HelloFresh we embrace and welcome diversity and we currently employ over 7,000 individuals globally who contribute to this. We employ individuals based on their ability to perform a job rather than on the basis of their: race, national origin, color, caste, social origin or position, gender, gender expression, sexual orientation, religion, age, disability, political opinion, marital status or any other characteristic. We encourage everyone to apply and will give everyone equal consideration. We are an equal opportunity employer – everyone is welcome at our table.