Adidas ASSISTANT MANAGER 

Greece, Attica, Athens 

192902957

:

• Develop and deliver forecasting models for KPIs critical to business planning and financial reporting. Utilize time series-based algorithms (e.g., Prophet, ARIMA, and variants), machine learning algorithms (e.g., XGBoost, LightGBM), and deep learning algorithms (e.g., LSTM, GRU, DeepAR, TCN)
• Scale existing models to different geographies, ensuring they are adaptable and effective across diverse regions
• Conduct data feasibility analysis, including data preparation and cleaning to ensure high-quality inputs for modeling
• Observe trends from data and leverage these trends to support feature engineering and enhance model performance
• Work closely with local and global teams in Planning, Marketing, Operations, and Data Engineering to ensure seamless integration of data science solutions
• Clearly translate complex business problems into data science and analytics solutions, incorporating feedback from business stakeholders
• Maintain quality, set good development practices, and define standards that keep the focus on the right things
• Support deep-dives, ad-hoc analysis and contextual dashboards with relevant platforms and channels
• Develop and maintain a strong stakeholder network with high level of trust that facilitates action- ability of insights
• Collaborate with the internal analytics team in your area of responsibility on digital analytics to define goals, select appropriate KPIs, monitor performance and derive trends and opportunities

Key Relationships:

• EM Hub e-com team
• EM Function teams (Finance, DNA, Brand, Sales, SCM…)
• Global Digital teams
• Global BI & Analytics teams
• Global Digital Data Science teams
• External vendors

• Bachelor’s or Masters degree in computer science, Information Technology, Mathematics, computing, Software Engineering, or a related field from a Tier-1 college
• Alternatively, an MBA with a focus on Analytics or Data Science specialization is preferred
• 3+ years of experience working in Digital Data Science , Digital Analytics, Business Intelligence, Demand forecasting & planning, Market mix modeling, Causal Inference, Pricing analytics, customer lifetime value modeling

:

• Well versed with classification, clustering, multiclassification, segmentation techniques
• Proven experience with time series algorithms (e.g., Prophet, ARIMA) & Causal Inference
• Proficiency in machine learning algorithms (e.g., Xgboost, LightGBM) and deep learning algorithms (e.g., LSTM, GRU, DeepAR, TCN).
• Experience with Databricks & AWS services (e.g., S3, EMR, SageMaker, AWS Lambda) is preferred.
• Hands-on experience with SQL, Python, Power BI, PySpark, Excel and building data pipelines, writing production ready code.
• Prior experience in Consumer, pricing, risk, recommendation, ranking domain within Ecommerce/Retail/Banking preferred
• Prior experience with model deplyoyment, CI/CD pipelines development is good to have
• Knowledge of tools like Adobe Analytics, google Analytics, Kibana, JIRA, Appsflyer, Amplitude, Jenkins, Bitbucket, Git is good to have
• Industry: Ideally in apparel/fashion/shoes or internet/retail banking
• Experience in e-commerce environment

:

• Ability to efficiently work in a cross-functional organization, ability to develop influential and collaborative relationships with stakeholders from digital and non-digital disciplines on all levels
• Excellent communication skills, comfortable presenting complex topics to technical and non-technical audience both in person and remotely at various organizational levels
• A passion for designing and creating new data capabilities, tools, and frameworks. Interest in “back-of-house” development of analytics capabilities. Devotion to accuracy, reliability, rigor, and user-focused design.
• Meticulous, high attention to details
• Creative and energetic team player who has a passion for delivering analytics, data, insights to drive outcomes for quantifiable improvements in business results and consumer satisfaction.
• Outspoken and Confident
• Broad understanding of and passion for the sports and fashion/entertainment industry
• Project management skills, including the ability to lead projects or work on several projects simultaneously.
• Fluent English both verbally and written
• Proficient in documenting technical details of solutions, creating requirement documents, powerpoint presentations