Middle Data Scientist

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