Data Science Intern
4 weeks ago
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.
Join ASI's data science team this summer to unlock an exciting learning journey As a summer intern, you'll dive into the world of Email Channel modeling and play a pivotal role in implementing scalable machine learning pipelines that align strategically with our growth plans.
Picture yourself actively contributing to ASI Marketing's success by incorporating cutting-edge pipelines into the framework. This hands-on experience will empower you to leverage advanced models, optimize Email Channel strategies, and deeply understand data-driven decision processes. At AARP, we value your role in swiftly identifying and capitalizing on emerging business opportunities within the email channel. Your involvement will increase our offerings and member value and give you a unique chance to make a tangible impact. Join us in fortifying AARP's position for success in the ever-evolving landscape of data-driven strategies. As a summer intern, you'll contribute meaningfully and gain a valuable learning experience. Take advantage of this opportunity to make a difference and grow with us
Responsibilities
Hands-on experience in Python on Databricks to quantitatively study and explore member data to track and analyze member behavior Work on highly scalable ML models and algorithms in extensive data mining, Supervised Learning modeling & other domains. Familiar with Machine Modelling cycle, including various tasks, data preparation, Feature Engineering, Model selection, Validation Evaluation, Deployment, etc. Working knowledge of Cloud environments, cluster optimization, and usage Present results of research and/or analysis, typically using data visualization techniques, sometimes to broader internal or external audiences
Qualifications
Must be enrolled in a degree program at an accredited college/university rising undergraduate juniors or seniors, graduate students, or post-doctoral students and remain academically enrolled throughout the internship and pursuing a degree in computer science, statistics, science, technology, engineering, mathematics, marketing, operations research, or related fields Preference will be given to candidates enrolled in a graduate program Must be a self-starter and adaptable to work under tight deadlines Ability to manage multiple projects, anticipate project needs, and discern work priorities Proficiency in Spark, Databricks, AWS, and generative AI tools such as ChatGPT, Google Gemini, etc. Technical fluency in Pyspark (preferred), Python/Pandas, and SQL Must have some experience (professional or college-level) dealing with big data Databicks savvy or eager to learn new technologies. ML libraries like TensorFlow, PyTorch, etc Communication skills - Strong organizational and communication skills Exceptional written and verbal communication skills with experience building stories and narratives out of data Collaborative skills - Comfort working across multiple business teams, including both technical and non-technical partners
AARP will not sponsor an employment visa for this position at this time.
Additional Requirements
Regular and reliable job attendance 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
Flexible Work Arrangement (FWA)
AARP observes Mondays and Fridays as telecommuting workdays, except for essential functions. Remote work and telecommuting can only be done within the United States and its territories.
Compensation and Benefits
The hourly range is $18 for undergraduates, $21 for graduate students, and $28 for Ph.D. candidates. Internships are non-exempt positions and are not eligible for employee benefits.
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.
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