Senior Data Engineer- GOPS Advanced Analytics (m/f/d)

Purpose & Overall Relevance for the Organization:


Earlier this year, adidas decided to elevate the Data & Analytics function, moving from a tech service to a value-oriented business function that actively and directly impacts adidas’ P&L. 


The Data & Analytics function will include a Global Operations Advanced Analytics team, which will work hand in hand with the Global Operations organization on strategically relevant use cases that have the potential to deliver substantial value and redefine the way that the Global Operations business function operates. 


For example, the Global Operations Advanced Analytics team will build data science products to make supply chain faster, more efficient, and responsive through seamless demand & supply planning, optimized logistics and distribution, customized replenishment and automated workforce and production planning.


The Senior Data Scientist in the Global Operations Advanced Analytics team will lead the effort to identify, evaluate, scope, suggest new opportunities, and execute high-impact analytics projects. You will employ advanced data modeling and operations research techniques to prescribe measurable recommendations. You will lead the development of data science methods for specific use cases across the full analytics lifecycle: from defining the business & data understanding to data preparation, modeling, evaluation, and deployment.


Key Responsibilities: 


•    Data science

  • Lead the development of data science methods for specific Global Operations use cases
  • 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 service use cases 

•    Data science network and storytelling

  • Develop and nurture a data science network, both within and outside of adidas, to ensure that best practices and innovations are disseminated across the company 
  • Present and promote results and insights to adidas colleagues at all levels, including senior stakeholders  

•    People management

  • Develop and mentor junior data scientists  
  • Create an inclusive working environment 


•    Stakeholder management

  • Manage the relationships with the Global Operations business owners and project teams, ensuring their views and requirements are captured
  • Act as the ambassador for your use case, showcasing the key functionalities, driving adoption, and assuring operational excellence together with IT peers


Key relationships
•    Global Operations project teams
•    SCM IT team
•    Other teams within Data & Analytics (e.g., Data assets, data platforms, data governance, market teams)

Requisite Education and Experience / Minimum Qualifications: 


•    Education & Professional experience

  • Ideally a university degree in a numeric/statistical discipline
  • At least 7 years work experience, preferably in a data science or analytics environment 
  • Analytical experience in Supply chain planning and operations preferred
  • Proven track record of working with senior stakeholders  


•    Hard skills

  • Proficiency in data science methods (including supervised techniques, unsupervised techniques, recommender systems)
  • Experience in developing and running simulation, optimization, and what-if scenario planning tools to support decision making
  • Proficiency in at least two of the standard data science programming languages (e.g., Python, R, Java, Scala, Octave)
  • Solid understanding of relational databases and NoSQL databases. Experience working with Databricks preferred
  • Solid understanding of Machine Learning Operations (MLOps) required to scale and sustain use cases in a large and global corporation
  • Demonstrated understanding of the principles of experiment design & analysis
  • Familiarity with agile development methodology


•    Soft skills

  • Impeccable and to-the-point written and oral communication skills (English)  
  • Comfortable in presenting complex topics to stakeholders at various organizational levels
  • Proven team player that can collaborate across functions and organizations
  • Ability to develop influential and collaborative relationships
  • High resilience and solution-oriented attitude 

adidas celebrates diversity, supports inclusiveness and encourages individual expression in our workplace. We do not tolerate the harassment or discrimination toward any of our applicants or employees. We are an Equal Opportunity Employer.

Job Title:  Senior Data Engineer- GOPS Advanced Analytics (m/f/d)

Brand:  adidas
Location:  Herzogenaurach
TEAM:  Data & Analytics
State:  BY
Country/Region:  DE
Contract Type:  Full time
Number:  350468
Date:  Oct 16, 2021