Applied Data Scientist

looking for an Applied Data Scientist for customers facing projects that combine data science with deep know and understanding of machine learning and big data technologies to create solutions for customer’s challenges and needs, defining and developing appropriate technical and business solutions.
The Applied Data Scientist will work closely with our Algorithms, Engineering and business teams.
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.
• Incorporate research results into the product line and provide product requirements to Algorithm and Development team
• Train the customers on the system – system usage and monitoring aspects.
• Willingness to travels abroad to customers as needed
Job 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/R
• Hands-on experience using Big Data and statistical analysis tools such as Hadoop/Spark and SQL, Matlab etc.
• Working experience with Linux OS (Redhat/Ubuntu).
• Excellent English (talking, presenting, reading)
Core Competencies:
• Able to solve tech problem for customers; improvise; cope with unexpected 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 relationships
• 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