Selecting features, building and optimizing classifiers using machine learning techniques
Data mining using state-of-the-art methods
Doing ad-hoc analysis and communicating results in a clear manner
Crafting automated anomaly detection systems and constant tracking of its performance
Provide insights on business performance and user behavior regularly
Build new predictive models across the various stages of customer lifecycle ranging from LTV, Churn, cross-sell, up-sell, personalization etc
What you need to succeed
3+ years of Data Analyst experience
Strong Business Analytics , Data Analytics and Statistics skills.
Expertise in SQL or Hive .
Experience with Web Analytics Tools like Adobe Analytics
Experience with data visualisation tools, such as Tableau, Power BI , etc
Expertise in building, productizing and maintaining predictive models
Expertise in Python, R or any other scripting language
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data Science & Machine Learning - OtherEmployement Type: Full time