Staff Data Scientist - Marketing Communications, Decisions Alliance (f/m/x)

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

Zusammenfassung

Join a forward-thinking company as a Staff Data Scientist for Marketing Communications, where you will lead the development of innovative, data-driven strategies to enhance customer engagement. This exciting role involves spearheading machine learning initiatives, optimizing communication strategies, and mentoring fellow data scientists. You will play a pivotal role in shaping personalized experiences that resonate with customers while collaborating with cross-functional teams. Embrace the opportunity to work in a dynamic environment that values diversity and fosters innovation. If you're passionate about leveraging data to drive impactful marketing solutions, this is the perfect role for you.

Leistungen

Pension Scheme

Berlin Relocation Support

Hybrid Working Model

Exclusive Discounts on Meals

Mental Health Support

Transportation Perks

24/7 Gym Access

Wellbeing Platforms

Sabbatical Leave Options

Qualifikationen

• 10+ years experience in data science with a focus on marketing communications.
• Expertise in machine learning, A/B testing, and customer behavior analysis.

Aufgaben

• Lead the design and implementation of machine learning models for marketing.
• Collaborate with teams to develop data-driven strategies for customer engagement.

Kenntnisse

Machine Learning

Data Science

Statistical Analysis

Customer Segmentation

A/B Testing

Natural Language Processing

Generative AI

Communication Skills

Ausbildung

Master's Degree in a Quantitative Field

Ph.D. in a Quantitative Field

Tools

Statistical Software

Machine Learning Frameworks

Jobbeschreibung

The role

As the Staff Data Scientist for Marketing Communications, you will spearhead the development of data-driven strategies and personalized experiences to enhance customer engagement. You’ll join a key initiative centered on marketing automation, driving improved effectiveness in HelloFresh’s customer messaging. In this role, you will lead the design and implementation of machine learning models that power various facets of our communications strategy. You’ll also be involved in critical “buy vs. build” decisions and integrate solutions within our existing ecosystem. Additionally, you will help shape and refine tools that enable marketing teams to automate content creation and validation, ensuring messaging remains highly relevant and engaging.

What you’ll do

• Collaborate with cross-functional teams (engineering, product, marketing) to translate business objectives into concrete, data-driven strategies.
• Contribute to the design, implementation, and refinement of machine learning models to optimize key elements of the communication strategy, including optimal communication timing, frequency management, channel optimization, and personalized action determination.
• Leverage machine learning and statistical analysis to refine customer segmentation, predict churn, and enhance personalized recommendations.
• Develop and implement a system for automated content creation and validation, ensuring high-quality and personalized messaging.
• Evaluate and recommend solutions, contributing to strategic “build vs. buy” decisions based on thorough analysis of available tools and vendors.
• Contribute to the data science roadmap, identifying emerging opportunities for enhanced personalization and driving innovation.
• Mentor and support data scientists and colleagues, fostering a collaborative and knowledge-sharing environment.

What you’ll bring

• A minimum of 10 years of professional experience with a Master's degree, or a minimum of 5 years of professional experience with a Ph.D. degree, in a quantitative field.
• Demonstrated expertise in data science, with a strong emphasis on personalization and marketing communications.
• Deep understanding of machine learning principles and techniques relevant to send personalization and content creation including regression, classification, recommendation systems, clustering, natural language processing, and multi-armed / contextual bandit algorithms.
• Proven ability to solve complex optimization problems that involve a large number of dimensions and optimization targets.
• Proven ability to design and interpret A/B tests and quasi-experiments with synthetic controls to validate hypotheses related to the personalized communication strategy stream.
• Exceptional communication and collaboration capabilities.
• Experience with customer behavior analysis, segmentation, and identifying high-value actions to drive customer lifetime value.
• Experience in leveraging Generative AI (GenAI) models (e.g., LLMs) for content generation, including prompt engineering, model evaluation, and fine-tuning to create engaging and personalized customer communications.

What we offer

Join one of Europe's fastest-growing tech powerhouses and industry leaders.

• 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.
• 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.