Principal Data Scientist, Digital Analytics - Norfolk, VA (Hybrid)

PRA Group - Norfolk, VA

Full-time - Senior

Hybrid - Norfolk, VA

Administrative and Support Services

About the position

PRA Group is seeking an energetic and passionate data science domain expert to support the Digital Analytics and Marketing Channel. You will help design and lead modeling and analytic strategies. You will play a significant role partnering with other teammates across organizations to better understand and improve the customer journey while evolving the team's capabilities to further develop impactful communication strategies and drive successful outcomes. As a Principal Data Scientist, you will help develop a strategic roadmap collaborating with other parts of the enterprise to meet Digital Analytics' short and long-term goals as well as uncover behavior that will drive campaign and test. You will lead and focus on best in industry modeling and analytic solutions focusing on digital analytics, text chat and email strategies. You will lead in the development of experimental design (i.e. Machine Learning, AI) as well as data modeling techniques and abilities. This is an individual contributor role. This is a Hybrid position and requires working onsite in our Norfolk, VA office Tuesday- Thursday with the ability to work from home on Fridays and Mondays.

Responsibilities

• Develop, test, validate, and maintain robust tools using supervised and / or unsupervised techniques through new products and services, customer segments, and competitive strategies
• Collaborate and partner with the Digital stakeholders in support of the Digital vision to grow the digital channel
• Help further a culture of leveraging data and analytics to drive business value
• Review work with leadership and partners on an ongoing basis to calibrate deliverables against expectations
• Identify long-term opportunities within the customer journey through the creation of algorithms and machine learning techniques to achieve company objectives to grow the digital business and solve problems
• Develop strategies to achieve targeted business objectives and implement these strategies and follow through to successful conclusion
• Consult on innovative risk strategies using proprietary systems/data sources to achieve extensive business goals and objectives
• Present complex modeling to decision-makers that maximizes knowledge transfer and bottom-line impact of modeling results
• Advance the department's capabilities by creating and deploying long term tools to continually evolve the business to create efficiencies in the business
• Identify and assess the value of new data sources and analytical techniques to ensure ongoing competitive advantage
• Remain current on research techniques and state of the art tools
• Work with teams to implement protocols for the efficient capture/maintenance of data from numerous sources to maintain high data quality standards especially customer behavioral and digital marketing data
• Evangelize analytics opportunities of the company with customers and business partners

Requirements

• Master's degree in Statistics, Applied Mathematics, Actuarial Science, Quantitative Economics or another similar analytical field
• 8-10 years of professional experience in the commercial sector as a Senior or Master level Data Scientist
• Experience with development of experimental design (i.e. Machine Learning, AI) as well as experience with data modeling
• Strong SQL experience, Python scripting is required, preferably with Scikit/SciPy libraries
• High level analytical problem-solving skills as well as a high level of analytics autonomy
• Strong conceptual thinking and problem-solving skills using data analysis and utilizing excel or other statistical packages
• Ability to write complex join, union, pivot, common table expression query statements for complex data calculations using time window functions in SQL
• Ability to write and troubleshoot stored procedures in MS SQL server (TSQL and/or PLSQL experience preferred)
• Able to Create, Modify, and Execute SQL Server scheduled jobs & SQL Server stored procedures

Nice-to-haves

• Experience with Campaign Management Systems (SAS Customer Intelligence 360, Adobe Campaign, Salesforce, etc.) a plus
• Experience in NPL markets or comparable work experience is a plus

Benefits

• Competitive salaries
• Bonus structure
• Proprietary training programs
• Tuition reimbursement programs
• Comprehensive healthcare, dental and vision benefits
• Maternal and paternal leave
• Holiday pay and PTO
• Employee assistance program
• Valuable opportunities to establish a long career within our organization