Sr. Data Scientist (Finance)

Equifax is seeking a Data Scientist who will be responsible for developing, managing and delivering analytical solutions through data analysis and data science to our customers. Primary activities include delivering technical, business strategic expertise and ensuring proper governance of data sources, models, attributes and analytic platforms. Accountable for attributes development, testing, and delivery with Python in our technical environment, leveraging advanced data and analytical methodologies, AI, ML/DL to design and deliver attributes bundles based on use cases.

What you'll do

• Lead the Attributes Development that works closely with cross-functional teams across D&A, Product and technology within the organization.
• Contribute to the analytical design for complex problem solution, taking input from others
• Analyze and integrate single or/and multiple data sources, data types and data structures into solutions and work with key stakeholders and understand their needs to develop advanced attribute solutions or improve existing solutions around data and analytics.
• Undertake development projects with multiple statistical deliverables leveraging business and technical expertise. Perform testing, attributes reduction, use cases design and execution with advanced statistical technologies and algorithms. Deliver attributes and scorecard insights and bundle solutions. Assist in implementing attribute solutions in production environments.
• Be responsible for data delivery, design of data structures, and processes balancing immediate deliverables with future reusability, while evangelizing best practices for data solution architecture.
• Evaluate the technical work of peer statistical analysts guiding them on deliverable quality and accuracy
• Responsible for Data Quality within the Attribute Domain, ensuring QA throughout the entire Attribute Development Cycle.

What experience you need

• 5 - 8 years of professional experience as a data scientist or statistical modeler in at least one of the following: identity and fraud, credit risk, telecommunications, financial services, payment, ecommerce, B2B or B2C, marketing, insurance, or security analytics arena.
• 3 - 8 years of experience using Python and SQL
• 3 - 8 years of hands on data and analytics experience
• Excellent problem solving skills which may include data delivery, design of data structures, data cleaning, data mining, data quality, data clustering, modeling, and pattern recognition methodologies
• Master's degree or higher in Mathematics, Computer Science , Engineering, Operations Research, Statistics or other related discipline
• Skilled in developing features through the manipulation of raw data.