Lead Data Scientist, Data Analytics

Lenovo
Lenovo

Data Science

Bengaluru, Karnataka, India

Posted on Jun 25, 2026

General Information

Req #
WD00098384
Career area:
Data Management and Analytics
Country/Region:
India
State:
Karnataka
City:
BANGALORE
Date:
Thursday, June 25, 2026
Working time:
Full-time
Additional Locations:
* India - Karnātaka - Bangalore
* India - Karnātaka - BANGALORE

Why Work at Lenovo

We are Lenovo. We do what we say. We own what we do. We WOW our customers.
Lenovo is a US$83 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.

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

Additional Locations:
* India - Karnātaka - Bangalore
* India - Karnātaka - BANGALORE
* India
* India - Karnātaka
* India - Karnātaka - Bangalore , * India - Karnātaka - BANGALORE
NOTICE FOR PUBLIC
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