Company Description

As the world’s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in over 70+ countries worldwide, powered by tech, designed by people. As one of Europe’s largest tech platforms, we enable creative minds to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are Delivery Hero

Job Description

We are looking for a Senior People Data Scientist (All genders)  to join the Global People Analytics team on our journey to always aim higher and deliver better automated solutions.

Your mission: 

• Own the entire analysis cycle, from gathering the business requirements, framing the business question, building hypotheses, to running the analysis, revealing and presenting insights and recommending meaningful actions to senior Heroes

• Translate everyday business problems into hypothesis / research questions which can be measured

• Lead specific analytical projects as required in support of the overall People Analytics and P&C team goals and objectives

• Steer and influence the team’s direction and design KPIs and OKRs

• Co-own the People data domain and be the point of contact for this part of DH's data

• Work closely with your manager and the global people analytics community at DH to maintain a healthy pipeline of People Analytics initiatives

• Select appropriate methodologies / techniques to analyze data and extract insight for key stakeholders in an efficient and secure way

• Collaborate with analysts and data scientist in other teams to learn new methodologies and share best practices

• Play a critical role to upskill the analytics capabilities of the P&C at scale and ensure that all Heroes are able to avoid common stats pitfalls and can correctly interpret People data from our self-serve dashboards and people data platforms

• Ensure compliance with data privacy regulations and best practices

Qualifications

• Bachelor's or Master’s degree (strongly preferred) in Economics, Statistics, Data Science or other technical fields

• Background working in similar data-driven roles and 5+ years of experience in People analytics

• Proven, direct experience in the use of data and analytical tools (such as Python, R) to develop models and algorithms

• Able to identify the most appropriate statistical technique, supervised and / or unsupervised machine learning algorithm to answer a given business question

• Advanced understanding of statistics and basic principles of data analysis

• Great storyteller and can clearly present insights to both technical and non-technical audiences

• Have worked in cross functional teams and can manage senior stakeholders

• Self-starter who is comfortable working autonomously

Additional Information

Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if you’re in good shape, then we’re in good shape.

• Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week

• We offer 27 days holiday with an extra day on 2nd and 3rd year of service

• Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Yoga, Gym & Bicycle Subsidy

• Cash. Dough. Cheddar. Whatever you call it, we’ll help you with it: Employee Share Purchase Plan, Sabbatical Bank,  Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan

• Look up and go for it. We will support you in developing yourself and your career: 1.000 € Educational Budget, Language Courses, Parental Support

• The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers, Food Vouchers, Corporate Discounts and access to the Udemy Business platform to explore a variety of online courses.

We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you. We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience—just include it in your application. You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.