Equifax
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Senior Data Scientist
role at
Equifax
Our
Data Scientist
roles are unique. The ideal candidate is a hybrid scientist with programming abilities to scrape, combine, and manage data from a variety of sources and a statistician who can derive insights from the information within. The role combines the skills to create new prototypes with creativity and thoroughness to ask and answer the deepest questions about the data and push the boundaries of what is possible with big data.
What You’ll Do
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.
Work on high-complexity tasks across multiple business or analytical domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc.
Package, summarize, visualize, and convey analytical findings and results for management and business users.
Communicate results to external stakeholders and mid-level leadership, articulating the business impact of work.
Evaluate the technical work of peers and junior data scientists, guiding them on deliverable quality and accuracy.
What Experience You Need
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
What Could Set You Apart
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)
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
#J-18808-Ljbffr
Senior Data Scientist
role at
Equifax
Our
Data Scientist
roles are unique. The ideal candidate is a hybrid scientist with programming abilities to scrape, combine, and manage data from a variety of sources and a statistician who can derive insights from the information within. The role combines the skills to create new prototypes with creativity and thoroughness to ask and answer the deepest questions about the data and push the boundaries of what is possible with big data.
What You’ll Do
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.
Work on high-complexity tasks across multiple business or analytical domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc.
Package, summarize, visualize, and convey analytical findings and results for management and business users.
Communicate results to external stakeholders and mid-level leadership, articulating the business impact of work.
Evaluate the technical work of peers and junior data scientists, guiding them on deliverable quality and accuracy.
What Experience You Need
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
What Could Set You Apart
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)
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
#J-18808-Ljbffr