2024 Summer Internship Location: This role is scheduled to be 100% remote. While remote, finalists MUST reside in a one of the following states to be eligible for employment with Kaiser Permanente: CA, CO, DC, GA, HI, MD, NY, OR, VA, or WA. Team Overview: The Data Science team over the years has architected and developed on-prem and cloud platforms to support AI/ML applications for Kaiser Permanente. In addition, it is also developing a suite of these applications for KP’s care delivery (clinical) and health plan functions. The team works closely with various internal and external stakeholders to solicit requirements and apply the right technologies and AI/ML techniques to deliver on the requirements. The team is composed of professionals highly skilled in all aspects of data science as well as systems architecture and development. Project: The candidates chosen for this role will augment the team to help develop these solutions. Based on individual skills and interests, and the priorities of the team, they will work in areas such as AI (genAI, LLMs, etc.), image processing, natural language processing, sentiment analysis, etc., and perform these activities on industry-leading on-prem and cloud platforms. Desired Skillset: The candidates will have a relevant blend of the following: · All aspects of data science · Working knowledge of the latest AI techniques (genAI, LLMs, …) · Deep knowledge of cloud platforms and infrastructure, MS Azure preferred. · Familiarity with GPU- and in-memory based architectures and tradeoffs · Deep knowledge of the Python ecosystem · Domain / industry knowledge is highly recommended: e.g. neuroscience. · Solid data architecture discipline, including data quality, data privacy and security, and data governance. · Ability to work independently and as a team, and to organize workload effectively. · Creative mindset to brainstorm new ideas. Preferred Degree of Study: Schools of Engineering - Computer Science, BioMedical Engineering (Masters or PhD) School of Arts and Sciences - Computer Science, Mathematics, CSEE (Masters or PhD) Job Summary: Lay the groundwork for a dynamic future with an industry leader. At Kaiser Permanente, you'll forge lasting relationships with colleagues across the organization while enjoying the opportunity to grow your experience and hone your expertise on assignments that have real impact. Our interns have worked on everything from analyzing financial software and developing new marketing strategies, to designing mobile apps and helping clinicians improve care delivery. We want you to get the most out of your time here and will give you projects that challenge you to think freely, question thoroughly, and explore deeply. Essential Responsibilities:
Contributing to a designated project or initiative to meet a KP business objective.
Basic Qualifications:
Experience
N/A
Education
Bachelors degree required.
Pursuing a graduate degree or have completed a graduate program from an accredited university within the last year.
License, Certification, Registration
N/A
Additional Requirements:
Aptitude to perform data and process analytics and formulating solutions
Proven ability to build effective working relationships as well as strong interpersonal skills
Working knowledge of MS Word, Excel, PowerPoint.
Preferred Qualifications:
3.0 GPA or above
Advanced analytical and problem-solving skills
Proven ability to build effective working relationships as well as strong interpersonal skills
Excellent verbal and written communication skillsAbility to learn quickly and experience producing high quality work in short periods of time.
COMPANY: KAISERTITLE: Data Science Master's InternLOCATION: Pleasanton, CaliforniaREQNUMBER: 1259267External hires must pass a background check/drug screen. Qualified applicants with arrest and/or conviction records will be considered for employment in a manner consistent with Federal, state and local laws, including but not limited to the San Francisco Fair Chance Ordinance. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, protected veteran, or disability status.