||Applied Data Scientist
||New York, New York, USA
Our client, a big data analytics provider for cyber security, fraud detection, and risk management, is looking for an Applied Data Scientist to join their NYC team. The Applied Data Scientist will be responsible for executing the company’s on-site operations, including, but not limited to: design, installation, configuration, and troubleshooting of the system as well as applying advanced machine learning and data mining techniques and proprietary algorithms to perform risk mitigation.
The Applied Data Scientist will be responsible for understanding the customer’s challenges and needs, defining and developing appropriate technical and business solutions, and solving problems in data processing, configuration, interfaces, & setup processes. The Applied Data Scientist will work with other departments within the company to tailor generic products to the specifics of each customer’s environment and deliver them successfully and on time. The ideal candidate will be able to execute multiple projects and drive key business results under tight deadlines, independent, and self-motivated.
·Deliver successful Proof of Value and Deployment projects
·Manage and design the customer-specific technical solution throughout the project life cycle
·Extract insights and actionable recommendations from large volumes of data and investigate anomalies in Big
·Install on-site and operate, troubleshoot if needed, initiate creative solutions, and develop scripts on customers sites
·Prepare for delivery including integration, configuration, and testing
·Build and maintain technical relationships with customers and partners
·Incorporate research results into the product line and provide product requirements to Algorithm and
·Write analysis reports for internal and external consumption
·Train the customers on the system – system usage and monitoring aspects
·Provide on-demand support and assistant to customer requests, issues, and questions
·2 years proven experience with customer-facing background.
·1-3 years of professional experience in data analytics for financial services with strong data mining and forensic skills
·Hands-on experience using BI and statistical analysis tools such as SQL, SAS, R, Matlab, etc.
·Knowledge of Linux, VMs, Cloud
·Ability to quickly understand business problems and find patterns & insights within structured and unstructured data
·Ability to drive relevant internal functions to deliver/solve a problem for customers/partners
·Ability to learn independently and to work with minimal supervision at customers’ sites
·Excellent and proven verbal and written communication skills.
·Strong interpersonal relationships with customers
·Familiarity with machine learning, big-data technologies, methodologies and concepts
·Experience working in startups