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- Aufgaben: Join our Data Science team to create innovative marketing measurement models for e-commerce businesses.
- Arbeitgeber: Crealytics is a diverse and passionate team dedicated to impactful data science solutions.
- Mitarbeitervorteile: Enjoy hybrid work options, personal development opportunities, and global travel for work.
- Warum dieser Job: Make real-world impacts while collaborating with top e-commerce companies in an agile environment.
- Gewünschte Qualifikationen: Strong background in quantitative disciplines; fluent in Python and Bayesian modeling.
- Andere Informationen: Work with a team from over 50 nationalities and take ownership of your projects.
Das voraussichtliche Gehalt liegt zwischen 43200 - 84000 € pro Jahr.
Permanent employee, Full-time · Berlin, Home Office
About the position
Join the Crealytics Data Science team to research, build and serve innovative marketing measurement models to leading American and European e-commerce businesses.
Combine academic research and business logic to create value: you will take over your own responsibilities and areas of research, while receiving support from an experienced Data Science team.
Your responsibilities
- Use Bayesian methods and a wealth of data to put the science into a product that enables our customers to make decisions about their digital marketing strategy.
- Research and develop media mix models to recommend the optimal allocation of marketing budgets for our clients.
- Use synthetic control methods to design scientific experiments and analyze the incremental return on investment for marketing activities.
- Pull data from BigQuery, analyze it in Python with Jupyter notebooks, test hypotheses and iterate models.
- Present findings and recommendations back to internal and external stakeholders.
- Work with leading European and American e-commerce businesses who provide us a wealth of data for meaningful and well-founded analysis to develop products with a real-world impact.
Your profile
- You have a strong academic background or equivalent experience in a quantitative discipline such as Quantitative Marketing, Econometrics, Data Science, Statistics, Applied Mathematics or related fields.
- You can take ownership of a data science project, from initial research to production-ready model.
- You have an inquisitive and analytical mindset and a knack for finding pragmatic solutions to problems.
- You have an affinity for reading research papers, condensing findings and applying these to industry problems.
- You have strong knowledge of Bayesian modelling, statistical distributions and their real-world applications.
- You are fluent in Python and common data analysis packages (NumPy, Pandas, Matplotlib).
- Plus: previous experience in an e-commerce or digital marketing environment.
- Plus: familiar with Google LightweightMMM or comparable Bayesian MMM packages.
What we offer
- We encourage your personal development, offering individual external and internal training, conference visits, and regular appraisals.
- You take responsibility from day one and work in an agile team of diverse, smart, and passionate people from more than 50 nationalities.
- A hybrid work model that enables you to blend working from different locations: home, on the go, or in the office.
- You interact with leading national and international eCommerce companies, enabling them to drive performance globally in product advertising and paid search.
- From time to time, depending on your tasks you have the opportunity to work in our offices across the globe – accommodation is provided.
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Data Scientist (m/w/d) Arbeitgeber: Crealytics
Kontaktperson:
Crealytics HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Scientist (m/w/d)
✨Tip Number 1
Familiarize yourself with Bayesian methods and media mix modeling. Since these are key components of the role, having a solid understanding will help you stand out during discussions with our team.
✨Tip Number 2
Engage with the latest research papers in data science and quantitative marketing. Being able to discuss recent findings and their applications in real-world scenarios will demonstrate your passion and expertise.
✨Tip Number 3
Showcase your experience with Python and data analysis packages like NumPy and Pandas. Be prepared to discuss specific projects where you've utilized these tools effectively.
✨Tip Number 4
If you have experience in e-commerce or digital marketing, be ready to share how that background can contribute to our clients' success. Real-world examples will make your application more compelling.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Scientist (m/w/d)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Scientist position. Understand the key responsibilities and required skills, especially focusing on Bayesian methods, Python proficiency, and experience in e-commerce.
Tailor Your CV: Customize your CV to highlight relevant experiences and skills that align with the job requirements. Emphasize your academic background in quantitative disciplines and any previous work in data science or digital marketing.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your ability to apply academic research to real-world problems. Mention specific projects or experiences that demonstrate your analytical mindset and problem-solving skills.
Showcase Your Technical Skills: In your application, be sure to mention your proficiency in Python and any relevant data analysis packages like NumPy and Pandas. If you have experience with Google LightweightMMM or similar tools, highlight that as well.
Wie du dich auf ein Vorstellungsgespräch bei Crealytics vorbereitest
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with Bayesian methods and statistical distributions. Highlight specific projects where you've applied these techniques, especially in a marketing context.
✨Demonstrate Your Problem-Solving Ability
Share examples of how you've tackled complex data science problems. Emphasize your inquisitive mindset and how you find pragmatic solutions, particularly in e-commerce or digital marketing scenarios.
✨Familiarize Yourself with Relevant Tools
Make sure you are comfortable discussing your proficiency in Python and data analysis packages like NumPy and Pandas. If you have experience with Google LightweightMMM or similar tools, be ready to talk about it.
✨Prepare for Technical Questions
Expect technical questions related to media mix models and synthetic control methods. Brush up on your knowledge and be ready to explain how you would approach designing experiments and analyzing ROI for marketing activities.
