Brief Description of position:

This position is responsible for identifying and designing customized predictive / advanced statistical modeling in eCommerce, marketing, finance and online operation areas for Lenovo's cutting edge eCommerce Analytics Department using Big Data platforms. To succeed in this position, working in a SCRUM environment, helping with analysis, development and deployment of multiple projects is a must.

 

Essential Responsibilities:

• Research, conceptualize, develop and drive initiatives around Big Data, machine learning, data analytics, visualization, modeling, anomaly detection, clustering, segmentation and regression
• Masters Degree in any quantitative disciplines such as Statistics/ Applied Mathematics/ Business Management, Economics, Computer Science or Finance from a top tier University required
• Good knowledge on eCommerce, Digital Analytics and PC industries
• Develop tools that support eCommerce and analytics division focusing marketing campaigns attribution, understanding the impact of brand perceptions, customer profiling, market penetration, competitor pricing and market segmentation
• Ability to quickly analyze problems and bottlenecks to come to logical and optimal solutions
• 4 to 6 years of analytics or data science experience designing tools for quantitative modeling and analysis, including optimization and simulation
• 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
• Should be comfortable in undertaking and delivering projects covering Exploratory Data Analysis (40%), Analytics Automation (30%), Statistical Analyses & Modelling (30%)
• Strong experience in advanced statistical / data mining tools like SPSS, R, Python, SQL, MS Excel, MS PowerPoint, etc.
• Experience in Digital / Web Analytics and platforms like Adobe Analytics / SiteCatalyst or similar technologies
• Knowledge of business intelligence report design and development within Tableau, PowerBI, QlikSense or other 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
• Proficiency in machine learning and big data platforms like Hadoop, Apache Spark, etc
• Knowledge of forecasting techniques using ARIMA, ANOVA, Regression, Winterholt, Time Series, Logistic, Exponential and Neural Network techniques
• Product mix modeling using MDS (Multidimensional Scaling), Factor Analysis and Clustering
• Customer Profiling, Scoring, Customer Equity and Lifetime Value Modeling
• Acquisition models: Prospect targeting, prospect potential value, product positioning, key influencers, product awareness
• Retention & Attrition models: loyalty, store choice, customer service, satisfaction, propensity to churn, attrition models
• Cross-selling models: Product affinity model, propensity to respond, predicted transaction rates, predicted sales value, predicted next purchase
• Models to optimize effectiveness of customer contacts and strategies as well as and service channel preference

Minimum Qualification:

PostGraduate