Description and Requirements
Essential Responsibilities:
- Conceptualize, develop and drive initiatives around machine learning, data analytics, visualization, modeling, anomaly detection, clustering, segmentation and regression
- Masters Degree in any quantitative disciplines such as Statistics/ Applied Mathematics/ Econometrics or Finance from a top tier University required
- Good knowledge of use cases in eCommerce, Digital Analytics and PC industries
- Knowledge of 4P (product, place, price, promotion analytics) ecosystem & related analytics use-cases would be good to have
- Develop tools that support eCommerce and analytics division focusing effective pricing, merchandise optimization and supply chain efficiency
- Ability to quickly analyze problems and bottlenecks to come to logical and optimal solutions
- Experience Required: 5-8 years of experience designing and building tools for quantitative modeling and analysis, including optimization and simulation
- Strong collaboration skills with global teams to understand the business, user experience, knowledge on marketing campaigns, and analytics
- Use your judgement to craft analytics solutions to complex business problems, prototype and demonstrate value generation from data science initiatives
- Help develop a Data Science/ML/Analytics acumen within the larger eCommerce business teams, training them towards full adoption by connecting the dots between statistical and business concepts
- Narrate compelling stories and present the insights / findings developed
Position Requirements:
- Excellent verbal and written communication & presentation skills - Must be highly versed in analytic methodologies
- Strong experience in advanced statistical / data mining tools like R, Python, etc
- Proficiency in machine learning techniques and ensemble modeling
- Good to have knowledge of Deep Learning and Neural Network techniques
- Product mix modeling using MDS (Multidimensional Scaling), Factor Analysis and Clustering
- Cross-sell & Up-sell modeling: Product affinity model, propensity to respond, predicted sales value, predicted next purchase
- Knowledge of business intelligence report design and development within Tableau or other Business Intelligence/OLAP reporting tools (PowerBI, QlikView, Business Objects, Spotfire, SQL, etc)
- Experience in Digital / Web Analytics and platforms like Adobe Analytics / SiteCatalyst or similar technologies
- Must have a track record of aligning activities with business strategies and measuring impact on business results
- Real-Time Analytics: real-time scoring and offer generation models, assessing customer behavior over time for marketing event triggers to support automated marketing programs
- Optimization Analytics: Price sensitivity and promotion optimization models
