Equifax is seeking a Data Scientist to derive insights from large data assets, create new prototypes, and push the boundaries of what is possible with big data, ultimately making a meaningful impact.
Requirements
- Proven track record of designing and developing predictive models in real-world applications
- 3+ Experience in building Statistical and Machine Learning predictive models, experience with model performance evaluation and predictive model optimization for accuracy and efficiency
- 3+ years of experience with SQL and python or similar programming languages.
- Cloud certification strongly preferred
- Additional role-based certifications may be required depending upon region/BU requirements
- Experience with big data architectures and methods
- Experience in financial domains is a plus
Responsibilities
- Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to independently prepare datasets, conduct analytics, and develop deployable solutions
- Collect, analyze and interpret large data assets to define and build multiple innovative solution components leveraging business and technical expertise.
- Lead the development or projects with multiple deliverables, leveraging business and technical expertise.
- Work on high-complexity tasks in problems often within multiple business or analytical domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc. encouraging enhanced solutions
- Package, summarize, visualize and perform storytelling on analytical findings and results for management and business users
- Communicate results to external stakeholders and mid level leadership, able to communicate business impact of work
- Evaluate the technical work of peer and junior data scientists, guiding them on deliverable quality and accuracy
Other
- BS degree in a STEM major or equivalent discipline
- 5-8 years of experience in a related analytical role
- A Master's degree in a quantitative field (Statistics, Mathematics, Economics)
- Full-time schedule
- Comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks
