Applied Scientist - Customer Analytics (All Genders)

Key Skills

Java Programming, Python Programming, SQL, Git, AWS, Machine learning techniques, Data science techniques, Keras software library, Pandas, Scikit-learn, SPARK Programming, Github

Job Description

As a Data Scientist in Customer Analytics, you work for the Customer Analytics team in Zalando’s Markets & Sales organization, which enables data driven business strategies for 22+ countries. With our customer analytics, segmentations, big data and Machine Learning skills we put our customers at the center of every marketing, retail and business decision. You will build automated solutions such as churn prediction, affinity modeling and value segmentations for our 40+ million active customers that allow Zalando teams to tailor their products and services to specific customer needs and characteristics.

EQUAL OPPORTUNITIES 

At Zalando, our vision is to be the starting point for fashion - one that is inclusive by design. We only assess candidates based on qualifications, merit, and business needs. We welcome applications from people of all gender identities, sexual orientations, personal expressions, racial identities, ethnicities, religious beliefs, and disability statuses. We only want to know why you’re great for this role, so please avoid including your picture, age, and marital status in your CV as well.

We want to provide you with a great candidate experience. Please feel free to inform us of any accommodations you may need, so we can best support and assist you throughout the hiring process.

WHY YOU SHOULD BE INTERESTED

• Experiment, develop, evaluate and implement state-of-the-art data science solutions, with the goal of creating customer profiles and segmentations for targeting, enabling Zalando teams to grow and deepen our customer relationships.
• You have a hands-on mentality and love to solve business-relevant complex problems. 
• Collaborate with technical teams within your department and with business stakeholders across the company to bring the developed models in production and support the end-to-end process. 
• Drive data science products, techniques and best practices within the team and your department. Actively exchange with other data scientists, engineers, analysts and commercial colleagues to untap new sources of data and know-how. 
• Commercially minded attitude: build fit-for-purpose solutions that deliver business results in strong collaboration with business stakeholders.

WE'D LOVE TO MEET YOU IF..

• You have 2+ years hands-on experience in data science and have industry experience through-out the data science cycle from data preparation/feature engineering to go-live of a model. Masters level or higher degree in a quantitative field is preferred (e.g. in Data Science, Computer Science, Statistics, Econometrics)
• Advanced skills in Python and libraries related to data science such as pandas, scikit-learn, Keras. Strong experience with SQL is necessary. Experience with big data technologies such as Spark, version control tools as Git/Github and cloud services as AWS are a plus. Curious about learning new technologies. 
• Strong communicator to challenge the status quo, tell data stories, maximize decision impact of your results and liaison with commercial and tech people alike.
• Proactive, fast learner, problem solver, comfortable working in English in a fast paced international work environment.

ZALANDO BENEFITS

Career Development

• We offer peer-to-peer performance reviews twice a year
• Learn and develop through our extensive Zalando training platform
• Join regular all-hands, team meetings, Q&A-sessions, and quarterly anonymous employee surveys to ask your questions and provide your feedback
• Support from an international team of experts; mentoring and professional development opportunities

Wellbeing

• 2 days paid leave per year for volunteering
• Minimum of 27 holiday days per calendar year
• Online sports courses, wellbeing, and nutrition advice offered by Humanoo personal wellbeing coach app
• Mental wellbeing support by our Employee Assistance Program and professional consultants to help you find health resources

Flexibility

• Flexible working hours
• Relocation assistance for internationals

• Home office equipment available for hybrid working, to support you working from home

• Hybrid working model with 60% remote per week

• Opportunity to work from abroad for 30 (working) days per calendar year

Financial

• Access to the employee shares program
• 40% shopping discount on products shipped and sold by Zalando, and 30% discount on Zalando Lounge
• Discounts from a wide range of external partners

Family

• Employee parents’ forums and employee resource group
• Supported transition into and out of parental leave, with a buddy and re-onboarding plan
• 3 fully-paid child sick days per year
• Free counseling, assistance, and referral service for all matters concerning yourself and your family via the Fürstenberg Institute