Assistant Manager - Data Science

Area: EM (Asia-Pacific) | Global Sales

Department: e-commerce

Direct Reporting Line: Senior Manager, Data Science, EM e-com

Secondary reporting line: Sr Director, Planning and Analytics EM e-com

Subsidiary/country: EM Hub

Location: Gurugram

GSMS Grade: P1

Number of Personnel Managed: -NA

Cost Center/Budget and/or Revenue Responsibility: EM

Purpose & Overall Relevance for the Organization:

Driving Data science solutions across Planning, Consumer, Pricing verticals at adidas e-commerce, you are responsible delivering cutting-edge data driven data science services to stakeholders, enabling them to make decisions generating value to business. Based on internal & external data sources, you manage the creation and generation of ML and statistical based solutions, forecast models, data capabilities, insights that help adidas better understand the consumer, expand reach, increase customer engagement and advocacy, and ultimately drive sales. In collaboration with business team, you drive and execute EM Digital Data Science strategy focussing on Emerging markets, supporting planning teams in key KPIs relevant to drive net sales for E-commerce business

Key Responsibilities:

Data Science Solutions:

• 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

Requisite Education and Experience / Minimum Qualifications:

• 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

Hard Skills:

• 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

Knowledge & Soft Skills:

• 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.