Ridgefield, CT, 06879, USA
23 days ago
Co-Op IT - Data Value & Ideation Project Mgt. roles - 2
**Description** Boehringer Ingelheim is currently seeking 2 talented and innovative Co-Ops to join our IT EDS Central Data Science department located at our Ridgefield, Connecticut facility. As a Co-Op, you will support the Ideation & Experimentation process from a Project Management perspective and help to intake and assess ideas for application of Data Science. At Boehringer Ingelheim, you will actively contribute to the discovery, development and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies´ success. We realize that our strength and competitive advantage lie with our people. We support our employees in a number of ways to foster a healthy working environment, meaningful work, diversity and inclusion, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim´s high regard for our employees. This role is an on-site position 2-3 days per week in our Ridgefield, CT office depending upon business needs. Applicants will need to be located within commuting distance for the duration of the Co-op / Internship. **_Co-ops before applying please ensure you can commit to the following:_** 1. **_Expect to be on-site for at least 3 days per week and must be located in the local area for the Co-op._** 2. **_You can start on the following dates: Dates are not flexible_** **_January 6, January 21 or February 3._** 3. **_You can work full-time and for at least 4 months after the start date. We can extend you up to 6 months in total._** **Compensation Data** This position offers an hourly rate typically between $20/ hour and $33/ hour commensurate to the level of degree program in which an applicant is actively enrolled. For an overview of our benefits please click here. Compensation is dependent upon degree level. **Duties & Responsibilities** + Support Data Value & Ideation Managers with the Ideation & Experimentation process to intake ideas and evaluate for inclusion in our BI dataland program. + Tasks include coordination of meetings, intro of our process to business colleagues, creation of problem statement and value proposition. + Track status and documentation for Data Science ideas in Jira and Confluence + This position works closely with Data Scientists, but is not a Data Scientist position + Create presentations as needed to report on status of ideas by Business Area **Requirements** + Must be a current undergraduate, graduate or advanced degree student in good academic standing. + Student must be enrolled at a college or university for the duration of the internship / co-op + Overall cumulative minimum GPA from last completed quarter/semester 3.0 GPA (on a 4.0 scale)preferred. + Major or minor in related field of internship + Undergraduate students must have completed at least 12 credit hours at current college or university. + Graduate and advanced degree students must have completed at least 9 credit hours at current college or university. + **Onsite/Flex*:** This position is site based with flexibility for remote working. Working onsite a minimum of 2-3 days per week is required. Remote working norms will be clarified during the interview process. **Eligibility Requirements** + Must be legally authorized to work in the United States without restriction. + Must be willing to take a drug test and post-offer physical (if required) + _Must be 18 years of age or older_ **Desired Skills, Experience and Abilities** + Project Management + Jira and Confluence + Understanding of Data Science + Organizational and communication skills + Ability to manage multiple topics and work independently All qualified applicants will receive consideration for employment without regard to a person’s actual or perceived race, including natural hairstyles, hair texture and protective hairstyles; color; creed; religion; national origin; age; ancestry; citizenship status, marital status; gender, gender identity or expression; sexual orientation, mental, physical or intellectual disability, veteran status; pregnancy, childbirth or related medical condition; genetic information (including the refusal to submit to genetic testing) or any other class or characteristic protected by applicable law.
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