Data Science Manager

Overview
AARP Services, Inc., founded in 1999, is a wholly-owned taxable subsidiary of AARP. AARP Services manages the provider relationships for and performs quality control oversight of the wide range of products and services that carry the AARP name and are made available by independent providers as benefits to AARP's millions of members. The provider offers currently span health products, financial products, travel and leisure products, and life event services. Specific products include Medicare supplemental insurance; credit cards, auto and home, mobile home and motorcycle insurance, life insurance and annuities; member discounts on rental cars, cruises, vacation packages and lodging; special offers on technology and gifts; pharmacy services and legal services. AARP Services also engages in new product development activities for AARP and provides certain consulting services to outside companies.

The Data Science Manager develops scalable algorithms and methods to provide real-time recommendations. Builds data pipelines and oversees the implementation of algorithms for classification and regression, such as decision trees/random forests, logistic regression, linear regression, etc. Collaborates with management to identify opportunities to streamline data processes and to develop new procedures that support the business unit/department.

Responsibilities

• Performs key analytic activities (test design/evaluations, incrementality/attribution, journey analytics, etc.) to generate insights.
• Manages intake and output process for technical and non-technical internal audiences requesting analytic projects. Develops scalable algorithms and methods to provide audience segmentation recommendations.
• Utilizes data engineering procedures to feature engineer, move data, and automate products.
• Provides education and training to department staff. Provides direct oversight and executes research. Assists in the development, maintenance, and monitoring of best practices.
• Writes code proficiently to generate answers to analytic inquiries.

Qualifications

• Master's degree in a quantitative discipline required or 5+ years of equivalent experience.
• Proficiency in open-source programming languages (e.g., Python, R, Sas).
• Strong experience in database manipulation, navigation, and data extraction.
• Demonstrated experience in predictive modeling and machine learning.
• Experience with digital marketing platforms and multi-channel marketing campaigns.
• Excellent interpersonal and communication skills, with the ability to translate complex technical concepts for non-technical audiences.

Preferred

• Ph.D
• Experience with artificial intelligence (AI).
• Experience working with big data technologies.

AARP will not sponsor an employment visa for this position at this time.

Additional Requirements

• Regular and reliable job attendance
• Effective verbal and written communication skills
• Exhibit respect and understanding of others to maintain professional relationships
• Independent judgement in evaluation options to make sound decisions
• In office/open office environment with the ability to work effectively surrounded by moderate noise

Hybrid Work Environment
AARP observes Mondays and Fridays as remote workdays, except for essential functions. Remote work can only be done within the United States and its territories.

Compensation And Benefits
AARP offers a competitive compensation and benefits package including a 401(k); 100% company-funded pension plan; health, dental, and vision plans; life insurance; paid time off to include company and individual holidays, vacation, sick, caregiving, and parental leave; performance-based and peer-based recognition and tuition reimbursement.

Equal Employment Opportunity
AARP is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture. AARP does not discriminate on the basis of race, ethnicity, religion, sex, color, national origin, age, sexual orientation, gender identity or expression, mental or physical disability, genetic information, veteran status, or on any other basis prohibited by applicable law.