Data Scientist Senior – Model Development

Role Overview

As a Data Scientist Senior, you will translate business problems into applied statistical, machine learning, simulation, and optimization solutions to advise actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction.

What You Will Do

You will gather, interpret, and manipulate structured and unstructured data to enable advanced analytical solutions for the business, develop scalable, automated solutions using machine learning, simulation, and optimization, and assess business needs to propose/recommend analytical and modeling projects.

Why It Might Be a Fit

You will work with model risk management to validate the results and stability of models before being pushed to production at scale, and serve as a mentor to junior data scientists in modeling, analytics, and computer science tasks.

Requirements

• Bachelor’s degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline
• 6 years of experience in a predictive analytics or data analysis
• 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models
• 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models
• Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc.
• Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics
• Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc.
• Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc.
• Experience guiding and mentoring junior technical staff in business interactions and model building
• Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results

Benefits

• Comprehensive medical, dental and vision plans
• 401(k)
• Pension
• Life insurance
• Parental benefits
• Adoption assistance
• Paid time off program with paid holidays
• 16 paid volunteer hours
• Various wellness programs