Senior Data Scientist - Paid Media Audience Targeting - 12 Month Temp (m/f/d)




As Senior Data Scientist you develop defined area of data science topics across the full analytics cycle: from framing business need, through data exploration and modelling to operationalization.


You are part of the team that executes 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.

Within our organization, you support the promotion of data science and its benefits and help developing an innovation fostering network within the global data science ecosystem.



Key Accountabilities


  • Scope:  Accountable for defined area of data science practices


  • Data Science
    • Develop and apply the full 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.
    • Generate 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.
    • Continuously improve our methodologies and challenge the status quo, raising the standards for faster delivery.
    • Co-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.


  • 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 developing, nurturing, and maintaining a solid network with key players.
    • Coach colleagues to increase their expertise in state-of-the- art analytic techniques, data science, data engineering, data governance, and software development within a defined scope.
    • Present and promote analysis results and insights to colleagues at all levels, including senior stakeholders, in a way that allows them to understand the value of your work, apply your output, and realize business potential.


  • Segmentation
    • Develop a defined set of customer segmentations, acquisition and retention strategies, predictive modelling, customer lifetime value metrics and marketing effectiveness measures.


  • Product Ownership
    • Specify the product vision and roadmap as well as user stories for respective data product
    • Prioritize the items in your product backlog. Specify the definition-of-done in cooperation with the product team(s).
    • Ensure that the product iteratively delivers actionable insights and results valuable to the business and stakeholders, using appropriate techniques, and adhering to our data science methodology and standards for code, analysis and results.
    • Lead one or more stakeholder relationships.


  • People Management
    • Create a supportive work environment in which employees are coached, trained and provided with career opportunities through development.
    • Provide team members/direct reports with clear direction and targets that are aligned with business needs and DBC objectives.



Knowledge, Capabilities and Experience


  • Soft-Skills
    • Very good communication skills, comfortable presenting complex topics to stakeholders at various organizational levels both in person and remotely
    • Very good interpersonal skills, good leadership skills
    • Proven team player that can collaborate across functions and organizations
    • Ability to develop influential and collaborative relationships with the Group


  • Hard-Skills
    • Excellent coding skills using common data science toolkits
    • Excellent knowledge in applied statistics, distributions, statistical testing, data mining and machine learning algorithms
    • Experience with NoSQL data bases
    • Experience on data aggregations, data models and operationalization of data mining algorithms
    • Experience in developing Customer profiles, CLTV, attribution model, lookalike modeling, clustering, and classification and segmentation models on large and sparse data sets.
    • Fluent English both verbally and written





  1. University degree in the a numeric / statistical discipline (M.Sc. or PhD)
  2. 8+ years of experience in analytics in a Digital and/or eCommerce environment, strong knowledge of the digital industry (products, technologies, solution providers, commercial models, trends)
  3. 3+ years of professional experience in an international & cross-functional environment
  4. 1+ years of experience in managing a team
  5. Experience in digital advertising or return of marketing investment topics is a plus


Location:  Herzogenaurach
Country:  Germany
Team:  Digital
Brand:  adidas
Position Type:  Full time
Number:  190253
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