Here at QVC Germany, we are on the search for a Senior Data Scientist to join our growing advanced analytics team, in Düsseldorf. Reporting to the VP Advanced Analytics in UK, you will develop models, programming and data engineering. This job is a hybrid working role.
QVC empowers shoppers with knowledge and shares insights in a lively, engaging way. We offer an ever-changing collection of familiar brands and fresh new products – from home and fashion to beauty, electronics and jewellery – and we connect shoppers to interesting personalities, engaging stories and award-winning customer service.
QVC International brings the QVC shopping experience to millions of people in Germany, Austria, Japan, the U.K., Ireland and Italy. QVC International reaches 124 million homes via 10 television networks and reaches millions more via multiple streaming services, websites, mobile apps and social pages. QVC International has team members in the U.K., Germany, Japan, Italy, Poland and China.
You will develop models, programming & data engineering
You'll define new and advanced analysis techniques and approaches
You will ensure the stability and quality of our models
In cooperation with different internal partners, you will define our requirements and the relevant indicators of success.
You will present results and advise the business on the usability of the results
Within the introduction of new methods you will take on tasks in the area of change management
In cooperation with our IT teams you define requirements for the technology stack
You will optimise existing methods, technologies and tools and keep yourself informed about new trends in the market
You will help train and onboard new colleagues, less experienced data scientists and engineers
You will have a Masters degree (PhD preferred) in Applied Mathematics, Physics, Statistics or another quantitative discipline
You will have several years of professional experience in data engineering, especially with advanced SQL and big data pipeline skills
You'll have over 3 years of experience in machine learning with frameworks (such as Scikit-Learn, Keras, TensorFlow, PyTorch, Mllib)
Excellent knowledge of analytical techniques, especially in the field of machine learning and pattern recognition and optimization
Experience using Big Data platforms (Spark, Hadoop) for large data volumes
You will have knowledge of cloud technology stacks (AWS, GCP, Azure) and data visualization tools and applications (Tableau, Qlickview, PowerBI)
You should have very good knowledge of at least one scripting language like Python (preferred) or R
Knowledge of container platforms, e.g. dockers
Business-oriented presentations of complex concepts for a business audience
You will simplify workflows and communicate complex statistical concepts in a simple way
Dynamic, international working environment with an great culture
Flexible working hours with flexitime to promote work-life balance (including overtime regulations and working from home)
30 days of vacation per calendar year
Workation (opportunity to work abroad for up to 20 days)
Subsidized cooperation with Urban Sports Club
Paid volunteer days
QVC bike leasing
Comprehensive 24/7 private accident insurance
Comprehensive health and preventive care offerings
Canteen subsidy
Free parking
Corporate benefits (various QVC partner discounts) and 20% employee discount on the QVC product range
Our Total Rewards package includes benefits you’ll love such as competitive compensation, paid time off, an employee assistance program, parental leave, paid volunteer hours, and amazing company discounts! In our US market, you can also expect health care benefits starting on day 1, 401(k), and tuition reimbursement benefits.
QVC Group is committed to inclusion and belonging for all and ensuring that our workplace provides equal employment opportunities for all team members and candidates and complies with all applicable federal, state, and local laws and regulations. As an equal opportunity employer, QVC Group is committed to a barrier-free employment process. If you need reasonable accommodations/support throughout, please contact us at workwithus@qvcgrp.com for assistance.
If provided, salary ranges are a general guideline only, and actual salaries will vary and are based on factors such as a candidate's qualifications, skills, experience, and geographic location as well as business and market conditions.