Thermo Fisher Scientific Data Science Leadership Development Program in Waltham, Massachusetts
The program prepares participants for roles of increasing responsibility through a combination of rotational assignments, structured learning, formalized feedback, and mentoring. Program participants will have the opportunity to interact with senior Data Science and IT leaders and participate in various key Data Science initiatives.
Program participants will have 2 one-year rotation assignments during the two-year program. As part of the rotational program, candidates may rotate through locations including but not limited to: Massachusetts, Pennsylvania, California, etc. Geographic flexibility is required both during and upon completion of the program.
Rotation examples include:
- Business Intelligence, Digital Technology & Delivery, Emerging Technologies, Enterprise Applications Systems, Data Science, Data Engineering
The DSLDP program affords participants an outstanding opportunity to produce results, quickly gain credibility and develop a strong company network over two years. Prior to completing the program, participants work with the Program Manager and interview for positions across the Data Science organization.
Students completing a Bachelor's degree between December 2020 and July 2021; preferred majors: Mathematics, Data Science, Computer Science, Computational and Data Science & Engineering
GPA of 3.2 or greater
Strong desire and motivation to develop a career as a future leader in Data Science
Related work or internship experience strongly desired
Ability to manage, plan, and prioritize projects
Experience in data collection & analysis
Demonstrated leadership aptitude, learning agility, and adaptability
Understanding of existing & emerging technologies
To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status.
Thermo Fisher Scientific is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, creed, religion, color, national or ethnic origin, citizenship, sex, sexual orientation, gender identity and expression, genetic information, veteran status, age or disability status.
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