Roles & responsibilities :

Collaborate with internal stakeholders and build production grade models and machine learning algorithms on large-scale datasets
Apply machine learning to generate customer behavior segmentation, to enhance recommendation engines and deliver personalized user experience on ecommerce website and loyalty mobile app
Develop Media Mix modelling (MMM), Multi Touch Attribution Model (MTA), Media optimization
Apply predictive modeling techniques and survival models to forecast various demands for operations and to deploy real time learning algorithms to optimize the forecasts
Build data science solutions to fuel growth initiatives for Digital, Merchandising, Marketing and Loyalty teams
Design experiments and deliver A/B Testing analysis to improve customer experience in physical store and on digital platforms
Apply statistical analysis to detect anomaly in systems and outliers in operational metrics for operational excellence
Convey machine learning solutions with intuitive visualizations and effective communications

Experience Required :

Masters or PhD degree in quantitative discipline: Computer Science, Engineering, Data Science, Math, Statistics or related mathematically-intensive fields such as Experimental Physics or Chemical Engineering
4+ years of industry experience in applying data science and modeling methodologies: regression model, survival model, ensemble modeling, NLP, recommendation algorithm, clustering, deep learning algorithm, experimental design (Multivariate/A-B testing) and nonparametric Bayesian modeling etc.
Experience with any of the following business analytics practices is preferred:
Marketing-related analytics, including Customer Lifetime Value assessments
Customer Service analytics and advance capabilities including NLP
Personalization and recommendations
Media Mix modelling (MMM). Multi Touch Attribution Modle (MTA), Media optimization,
4+ years of experience and proficiency in SQL, Python and/or Spark-ML
4+ years of SQL development skills writing queries, transforming data, mining structured and unstructured data.
2+ years of hands-on experience in building data science solutions and production-ready systems on big data platforms such as Snowflake, Spark, Hadoop
Ability to write production-level code in Python
Experience with Snowflake, Azure Databricks is a strong plus

Skills Required:

SQL
Python
Machine Learning
Deep Learning
LLM / Gen AI
Recommendation and personalization Algorithm
Statistical & Mathematical Foundations Strong knowledge of regression, clustering, survival modeling, and ensemble techniques.
Cross-Functional Collaboration Skills Ability to work with marketing, media ops, and product teams in a matrix structure.

Data Scientist