As Junior Data Scientist you support and assist in the development of a defined area of data science topics across the full analytics cycle: from framing business need, through data exploration and modelling to operationalization. You assist in the execution of advanced modelling techniques to create segmentations and ultimately generate consumer insights. Thus, your team is the key enabler for personalization across all touchpoints and funnels.
Scope: Accountable for defined area of data science practices
Assist and contribute to the development and apply defined set of advanced analysis methodologies to optimize customer acquisition, engagement, conversion, experience and loyalty. This includes framing of business needs, data exploration as well as descriptive, predictive and prescriptive modeling, under the supervision or with the support of a more senior colleague
Assist and contribute to the generation of insights to increase the understanding of adidas consumers, exploring their affinities and intents, in order to make the best recommendations to individual consumers through the right digital channel at the right time, under the supervision or with the support of a more senior colleague.
Continuously seek to improve our methodologies and challenge the status quo, raising the standards for faster delivery
Help design, improve, and automate the data science platform and our machine learning pipeline to facilitate our data science activities and serve near real time use cases under the supervision or with the support of a more senior colleague
Data Science Network & Storytelling
Help adidas benefit from innovations in the global ecosystem of a defined area within data science, big data, machine learning, artificial intelligence by introducing state of the art techniques
Present and promote analysis results and insights to colleagues, include those outside of data science, in a way that allows them to understand the value of our work, apply your output, and realize business potential.
Support the development of a defined set of customer segmentations, acquisition and retention strategies, predictive modelling, customer lifetime value metrics and marketing effectiveness measures.
DBC Product Domain Owners
DBC Experience Design Team
Consumer Engagement Teams
Big Data Group
Education & Professional Experience
University degree in the a numeric / statistical discipline (Bachelor, M.Sc.)
Good communication skills, comfortable presenting complex topics to colleagues in person and remotely
Good interpersonal skills
Proven, proactive team player that can collaborate across functions and organizations
Ability to develop influential and collaborative relationships with the Group
Good coding skills using common data science toolkits, in particular, high level of expertise in Python and Spark
Expertise in applied statistics, distributions, statistical testing, data mining and machine learning algorithms
Experience on data aggregations, data models and operationalization of data mining algorithms.
Experience in CI/CD methods
Experience in version control tools (Git)
Experience with Cloud ML Platforms (AWS Sagemaker)
Familiarity with Deep Learning frameworks like Tensorflow or PyTorch is a plus