Senior Data Scientist w/SAS, Python and SQL

Senior Data Scientist w/SAS, Python & SQL – Norfolk, VAThe Data Scientist role will be responsible for turning data into actionable insight to improve operational efficiency and effectiveness, make pricing decisions, and improve customer experience. This includes performance evaluations and financial projections. Data scientists use their analytics skills to help design and implement core components of algorithms and models, focusing on applying machine learning techniques to build high-quality intelligent systems integrated with our products.This is a Hybrid position and requires working onsite in our Norfolk office Tuesday-Thursday with the ability to work from home on Fridays and Mondays.Professional Experience, Skills and Qualifications:3 to 5 Years of professional data scientist experience is required.SAS and Python expertise is required.SQL programming in SQL Server or Oracle.Knowledge of deep learning frameworks, such as TensorFlow, Keras, and PyTorch.Skilled in performing statistical analysis and creating informative visualizations, such as histograms, scatter plots, and line graphs of data.Prior experience managing projects using project management software such as SmartSheet or MS Project is required.Significant experience with common statistical and ML modeling algorithms for supervised regression and classification applications.Significant experience with more advanced ML modeling algorithms for supervised and unsupervised learning.MA/MS degree is preferred or BA/BS in a Science, Technology, Engineering, Mathematics (STEM) or quantitative field, with Data Science coursework or training.Job DescriptionSolve business problems by leveraging advanced artificial intelligence and machine learning approaches.Ensure data integrity by leveraging proven methodologies, including data reconciliation, data integration, and data audits.Work within the Machine Learning Team to design, code, train, test, deploy, and iterate on large-scale machine learning systems.Develop processes and tools to monitor and analyze model performance and outcomes.Work with cross-functional teams to explore new ways of finding insights from data and provide recommendations.Identify opportunities for new growth and efficiency based on data analyses.Handle complex issues and problems, applying comprehensive knowledge of principles and practices of area of specialty. Lead moderately complex projects and programs.Within the field of Data Science, the Data Scientist performs three basic roles: collaboration with business stakeholders to identify AI/ML use-cases to solve business problems; explore, analyze, design, experiment, measure and prototype models for these use-cases; and communicate the impact and results of model prototypes to stakeholders and monitor their results.Key Responsibilities :Operate broadly across the model operations life cycle (data preparation and feature engineering, model development, testing, and monitoring).Summarize analytical results in a clear and concise manner, demonstrating the value of the solution.Document all aspects of the discovery, analysis, and model building processes for customer support, governance, and compliance purposes.Present results to team members and make adjustments based on feedback.At PRA Group, we're committed to helping our employees reach their highest potential by offering competitive salaries, proprietary training programs, tuition reimbursement programs, comprehensive healthcare, health, dental and vision benefits, maternal and paternal leave, holiday pay and PTO, an employee assistance program, and valuable opportunities to establish a long career within our organization.

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