What are the responsibilities and job description for the IT Data Analytics Bachelor's Intern position at Kaiser Permanente?
2024 Summer Internship
Location:
This internship role is scheduled to be flexible. Please be prepared to spend part of your time working remotely and part of your time working at the following address: 4460 Hacienda drive, Pleasanton, CA 94566.
Department Description:
Lead defining and managing D&A reference architecture patterns and guide implementation planning to champion D&A strategy
Responsible for D&A capability technology standards management including adoption, currency, rationalization and non-standard retirement.
Lead defining best-fit architecture guidance frameworks for enterprise D&A tools and technologies across various D&A capability domains involved in end-to-end data and analytics lifecycle i.e. data persistence, data management, data preparation, and other data analytics processes to meet the enterprise D&A needs.
Define, manage & evolve Data architecture strategy in partnership with D&A Data Enablement team.
Data Modeling Standards Management & Assessment Service (ARB & SDLC) (Data Architecture Tool Management).
Data Design Standards Management for reusable data products (Data Information Strategy).
Define, manage & evolve AI/ML Platform architecture and direct the implementation in collaboration with D&A & IT Teams
Establish strong relationship with business and IT leaders to be trusted technical advisors via providing below D&A Architecture Advisory Services
ARB Governance engagements & D&A Product/Project consulting
Pre-Implementation Architecture Review Service
Partner with EA & IT teams to support strategy development & execution planning for other technology domains.
Internship Project(s):
Contribute to AI/ML technology evaluation efforts to support our D&A architecture technology rationalization planning/implementation efforts. Develop programmatic templates for streamlining D&A data architecture management and ResponsibleAI framework enhancement/integration for our newly deployed cloud AI/ML platforms.
Target Majors:
Computer Science; Math/Statistics; Data Science
Target Skills:
Database Management: Familiarity with relational databases and SQL. Knowledge of NoSQL databases can also be beneficial.
Big Data Technologies: Exposure to big data technologies like Hadoop, Spark, or Kafka, especially for handling large datasets.
Programming Skills: Basic programming skills, preferably in languages relevant to data processing like Python, Java, or Scala.
Machine Learning: Basic understanding of machine learning concepts and algorithms. Experience with libraries like scikit-learn, TensorFlow, or PyTorch can be advantageous.
Data Modeling: Understanding of data modeling concepts and experience with data modeling tools. Ability to design and understand logical and physical data models.
Collaboration and Teamwork: Ability to work effectively in a team, collaborating with data scientists, analysts, IT professionals, and business stakeholders.
Learning and Adaptability: Eagerness to learn new technologies and adapt to changing technological landscapes.
Project Management: Basic understanding of project management principles to contribute to project planning and execution.
Job Summary:
Lay the groundwork for a dynamic future with an industry leader. At Kaiser Permanente, youll 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.
Qualifications:
- N/A
- High School Diploma or General Education Development (GED) required.
- Pursuing a bachelors degree or have graduated with a Bachelors degree from an accredited university within the last year.
- N/A
- 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.
- 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 skills
- Ability to learn quickly and experience producing high quality work in short periods of time.
