Data Scientist, Keying & Linking

About the position

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you. Our Data Scientist roles are unique. The ideal candidate is a rare hybrid, a scientist with the programming abilities to scrape, combine, and manage data from a variety of sources and a statistician who knows how to derive insights from the information within. He or she will combine the skills to create new prototypes with the creativity and thoroughness to ask and answer the deepest questions about the data, what secrets it holds, and to push the boundaries of what is possible with big data.

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.
• Support the analytical strategy by understanding critical technical capabilities and suggesting opportunities.
• Lead the development of 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.
• 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.

Requirements

• BS degree in a STEM major or equivalent discipline.
• 5-7 years of experience in a related analytical role.
• Proven track record of designing and developing predictive models in real-world applications.
• Experience with model performance evaluation and predictive model optimization for accuracy and efficiency.
• Cloud certification strongly preferred.
• Additional role-based certifications may be required depending upon region/BU requirements.

Nice-to-haves

• Passion for data science, data mining, machine learning and experience with big data architectures and methods.
• A Master's degree in a quantitative field (Statistics, Mathematics, Economics).

Benefits

• Comprehensive compensation and healthcare packages.
• 401k matching.
• Paid time off.
• Organizational growth potential through our online learning platform with guided career tracks.