Summer Intern - Data Scientist

Key Skills

Data Analysis, Data science techniques, Data structuring, Predictive analytics

Job Description

We are looking for a Data Scientist Intern to join IT’s Data Science and AI team. The mission of our team is to enable data driven decisions across Seagen by ensuring that teams have access to the expertise, technology platforms, and reliable, reusable, and cataloged data in a discoverable and timely fashion to support achieving their goals.

The Data Scientist Intern will partner with Senior Data Scientists and our business teams to identify data science opportunities, define functional and non-functional requirements for technology or process solutions, and develop initial data science workflows and processes to achieve a business solution. They will utilize their skill set to develop data pipelines and advanced analytics solutions as needed to support business teams. The role will support a strong partnership with business and technical teams to collaborate on application solutions with respect to value, quality, and end-user experience. Through their work, the Data Scientist Intern will develop subject matter expertise in how Seagen teams use data, applications, and platform functionality and features.

The ideal candidate is familiar with manipulating, cleaning, and analyzing large datasets, and is knowledgeable of a variety of machine learning and other predictive techniques to provide actionable insights. They must be comfortable with ambiguity and able to converse with Senior Data Scientists to better understand data and business problems. They must also be trained in one or more programming languages and must have familiarity with software development tools and processes.

Responsibilities:

• Understand user requirements for how data is used to make decisions. Includes process mapping, optimization, and technology enablement
• Apply data science training and a systems analysis methodology to help guide solution analysis
• Extract data from various data sources; perform exploratory data analysis, cleanse, massage, and aggregate data
• Use statistical and machine learning techniques to build models that explore business solutions while promoting and advocating for the value of advanced modeling techniques
• Collaborate cross functionally with other data scientists, statisticians, and business analysts to define business problems and implement scalable solutions
• Help support day to day activities of the data science team’s platforms; this may include creating knowledge base articles, updates to platform manuals and documentation, best practices and guidance, and diagnostics of issues that are raised
• Participate in demos and user acceptance reviews while working with the technical team on the creation of design documents and artifacts
• Collaborate with others on the team and business teams to deliver new, innovative solutions to Seagen users by providing thought partnership in Seagen data communities

Qualifications:

• Strong interpersonal and customer relationship skills
• Data analysis training or experience working with structured and/or unstructured datasets
• Familiarity with custom development, open-source products implementation, systems integration and cloud services

Education:

Enrolled in a graduate degree program in Computer Science, Information Systems, Informatics, Data Science, or related field.

Note: This is an onsite, paid internship. This position is open to all students legally authorized to work in the United States. We are not able to offer visa sponsorship for internships. While housing is not provided by Seagen, we make every effort to connect fellow interns to arrange for joint housing and ride sharing.

Seagen is an equal opportunity employer. All qualified applications will receive consideration for employment without regard to race, age, gender identity, sexual orientation, color, religion, sex, marital status, national origin, protected veteran status, disability status, or any other status protected by federal, state, or local law.

The hiring pay range for this position is $20 to $32 per hour based on skills, education and experience relevant to the role.