Senior Data Scientist - MATRiX ANALYTiCS CORPORATION : Job Details

About this Job



We are seeking a Senior Data Scientist to become an integral part of our development team! The Data Scientist will design & develop scorecards, models and strategies for consumer banking and Small-Medium Enterprises businesses banking as well as set standards for modeling and analytics processes

Responsibilities:

• Use sophisticated statistical techniques, Operations Research based, ML and DL methods to develop scorecards, customer segmentation schemes, profiles, and other analytically based tools for consumer & SME business banking projects.
• Use statistical principals to evaluate scenarios and make predictions on future outcomes in order to solve highly complex business problems and support decision making.
• Manage a team of data scientists while also working on project hands-on.
• Involvement with presales activities, presentations, pipeline management and business development (10-20% of time).
• Develop and implement mathematical approaches and solve complex business problems.
• Participate in the development, validation and delivery of algorithms, statistical models and reporting tools.
• Convey complex numerical problem to technical and non-technical business partners.
• Perform analyses of structured and unstructured data to solve multiple and / or complex business problems utilizing advanced statistical techniques and mathematical analyses and broad knowledge of the organization and / or industry.
• Develop and participate in presentation and consultations to existing and prospective constituents on analysis results and solutions.
• Interact with internal and external peers and managers to exchange complex information related to areas of specialization.
• Use strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend proactive solutions.
• Use strong programming skills to explore, examine and interpret large volume of data in various forms.

Qualifications:

• PhD in a quantitative field (Statistics, Operations Research, Mathematics, Computer Science or another quantitative field)
• 8+ years' experience in scorecard/model development/risk analytics is required
• Knowledge and experience in statistical and data science techniques
• Experience creating and using advanced machine learning algorithms and statistics
• Experience developing predictive models for banks/financial services and implementing them in production platforms
• Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from high dimension data sets
• Excellent written and verbal communication skills for coordinating across teams
• A drive to learn and master new technologies and techniques.