Job Location: Bangalore
General Information
Req #
WD00026558
Career area:
Data Management and Analytics
Country/Region:
India
State:
Karnataka
City:
BANGALORE
Date:
Sunday, March 27, 2022
Working time:
Full-time
Additional Locations:
- BANGALORE – Karnataka – India
Why Work at Lenovo
Here at Lenovo, we believe in smarter technology for all, so we spend our time building a society thatโs brighter and more inclusive. And we go big. No, not bigโhuge.
Weโre a US$60 billion revenue Fortune Global 500 company serving customers in 180 markets around the world. Focused on a bold vision to deliver smarter technology for all, we are developing world-changing technologies that power (through devices and infrastructure) and empower (through solutions, services and software) millions of customers every day and together create a more inclusive, trustworthy and sustainable digital society for everyone, everywhere.
The one thing thatโs missing? Wellโฆ you…
Description and Requirements
This position is responsible for identifying and designing customized predictive / advanced statistical models enabling product merchandise optimization, effective pricing & promotion strategy development and supporting online operations efficiently for Lenovo’s cutting edge eCommerce Analytics Department. 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 and visualization
- Masters Degree in any quantitative disciplines such as Engineering / Statistics / Applied Mathematics / Economics / Computer Science from a top tier University required
- Good knowledge of eCommerce, product & pricing analytics, Digital Analytics and PC industries
- Develop tools that support eCommerce and analytics division focusing on product planning & forecasting, product recommendations, optimum pricing, inventory optimization and customer preference modeling
- Ability to quickly analyze problems and bottlenecks to come to logical and optimal solutions
- 4 to 6 years of data science, analytics experience designing tools for quantitative modeling and analysis, including optimization and simulation
- Hands on experience in building & implementing predictive models using machine learning algorithms
- 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
- 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 R, Python, SQL, MS Excel, SPSS, 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 preference over time for product portfolio optimization
- Optimization: Price sensitivity and promotion optimization models, operation research techniques
- Proficiency in machine learning techniques and ensemble modeling
- Knowledge of forecasting techniques using ARIMA, ANOVA, Regression, Winterholt, Time Series, Logistic, Exponential
- 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
Models to optimize effectiveness of customer contacts and strategies as well as and service channel preference
- BANGALORE – Karnataka – India
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