Middle Data Scientist Offline

Requirements

• Must have proven professional experience in data analytics for financial services and/or in User and Entity Behavior Analytics

• Experience of working with business customers. Advantage — financial customers

• Must have Hands-on experience and knowledge of scripting languages: Python/PySpark

• Hands-on experience in SQL. Experience in using Hadoop/Spark will be advantage

• Working experience with Linux OS (Redhat/Ubuntu).

• Intermediate English level

Core Competencies

• Able to solve tech problem for customers; improvise; cope with unexpected challenges

• Ability to design creative solutions for complex requirements

• Ability to learn independently and to work with minimal supervision at customers' sites

• Ability to execute multiple projects and drive key business results under tight deadlines.

Key Responsibilities

• Manage and design the Customer-specific technical solution throughout the project life cycle.

• Work with various data sources and apply sophisticated feature engineering capabilities

• Bring and use business knowledge

• Extract insights and actionable recommendations from large volumes of data and Investigate anomalies in Big Data

• Build and manage technical relationships with customers and partners.

• Provide product requirements input to Product Management team