Demo

Senior Data Scientist

MATRiX ANALYTiCS CORPORATION
New York, NY Full Time
POSTED ON 1/20/2025
AVAILABLE BEFORE 4/20/2025

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.
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