Position: Data Scientist
Company: DATAS Technology
Experience required: 1y
English level: upper

Requirements
• Must have proven professional experience in data analytics for financial services with strong data mining and forensic skills

• Experience working with customers. Advantage — financial customers

• Must have Hands-on experience and knowledge of scripting languages: Python/PySpark

• Hands-on experience using Big Data and statistical analysis tools such as Hadoop/Spark, SQL, and Matlab

• Working experience with Linux OS (Redhat/Ubuntu).

• Excellent English (speaking, presenting, reading)

Core Competencies

• Able to solve tech problem for customers; improvise; cope withunexpected challenges

• Able to drive relevant internal functions to deliver/solve a problem for customers/partners

• Ability to design creative solutions for complex requirements

• Ability to learn independently and to work with minimal supervision at customers' sites

• Strong interpersonal relationship building

• A motivated, self-starter who can demonstrate above average analytical and technical skills

• Ability to execute multiple projects and drive key business results under tight deadline.

Key Responsibilities

• Deliver successful deployment and Pilots

• Manage and design the Customer-specific technical solution throughout the project life cycle.

• Work on 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

• Train the customers on the system — system usage and monitoring aspects.