Associate Director of Data Science - Marketing, Data Alliance (m/f/x)

JOB DESCRIPTION The roleThe Marketing Science squad at HelloFresh is the key foundation to building Data Science and Machine Learning products to elevate marketing effectiveness. We are seeking an experienced Associate Director of Data Science - Marketing to lead our marketing science initiatives. The ideal candidate will be at the forefront of leveraging data science and machine learning technologies to drive marketing strategy and effectiveness. This role involves a blend of technical expertise, strategic thinking, and leadership to enhance our marketing efforts through innovative data solutions.Working closely with data product managers, data engineers, data scientists, machine learning engineers, analysts and marketing stakeholders, the Associate Director of Data Science would be responsible for generating data insights to enable better decision making in order to shape data products requirements. It would be a key role within the Global Marketing Data Product tribe leadership which designs, implements, and maintains global data products for HelloFresh’s marketing teams.Above all, we are looking for people who will make HelloFresh better. We believe there are many different ways of developing skills and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.What you’ll doDevelop and oversee advanced analytics methodologies to evaluate and enhance the effectiveness of marketing campaigns across multiple channels.Lead a team of data scientists and analysts in the design and implementation of machine learning models to predict media mix effectiveness, customer behaviors, segment audiences, and personalize marketing efforts.Collaborate with cross-functional teams including performance marketing, retention marketing, and marketing analytics to integrate data science insights into broader marketing and business strategies.Stay abreast of industry trends and developments in marketing science, machine learning, and AI to continuously improve our capabilities and tools.Communicate complex data-driven insights and recommendations to senior stakeholders and non-technical audiences.Define and track key performance indicators to measure the impact of data science initiatives on marketing ROI and overall business growth.Oversee the professional development and mentorship of the data science team to foster a culture of innovation and excellence.What you’ll bringA degree in Data Science, Statistics, Computer Science, or a related field.7+ years of experience in data science, with at least 3 years in a leadership role within a marketing-focused analytics environment.Proven expertise in statistical modeling, machine learning, predictive analytics, and data management. Strong experience with data science tools and programming languages such as Python, R, SQL, and big data technologies.Demonstrated ability to strategize and execute complex data-driven projects from conception to completion.Strong problem-solving skills and the ability to thrive in a fast-paced, dynamic business environment.Exceptional written and verbal communication skills, with the ability to listen and show empathy.What we offerElevate 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 you 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!#Data