IT Co-Op Data Science

Boehringer Ingelheim; Ridgefield (CT); On-site; USD 34,000 - 48,000; Full time

Job summary

Boehringer Ingelheim is seeking a Data Science Co-Op to join the Central Data Science team at our Ridgefield, CT facility. You will work on a global initiative to leverage data for better business decisions, collaborating with stakeholders to identify opportunities and extract insights from large data sets.

Responsibilities include translating ideas to data, data prep, analysis and modelling, user testing, and contributing to product development and maintenance within a dynamic enterprise

Qualifications

• Must be currently enrolled as an undergraduate, graduate, or advanced degree student.
• GPA at least 3.0 on a 4.0 scale preferred.
• Major or minor in related field; internship/co-op experience is a plus.
• Enrolled at accredited college or university for duration of internship/co-op.

Responsibilities

• Collaborate with business team to analyze data sets and design analytic solutions.
• Translate ideas into data, prepare datasets, perform analysis and modelling.
• Conduct user testing, contribute to product development and maintenance.

Skills

Python/R

Data Visualization

SQL

Excel/PowerPoint

Communication

Team collaboration

Education

Undergraduate or Graduate

GPA 3.0+

12 credit hours (UG)

9 credit hours (GD)

Tools

Hive/Hadoop

Job description

Description

Boehringer Ingelheim is currently seeking a talented and innovative Data Science Co-Op candidate to join Central Data Science team at our Ridgefield, CT facility.

As a Data Science Co-Op, you will work on a global strategic initiative to make better use of our data and enhance our ability to make data driven decisions. You will work closely with business stakeholders to identify opportunities for leveraging data to drive business solutions, understand the business problem and extract relevant trends and patterns from data. You will help the team shape, develop, and execute complex analytic solutions that will transform the healthcare industry.

As an employee of 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, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim´s high regard for our employees.

Duties & Responsibilities

The primary focus of the Data Science Co-Op candidate will be to work with a business team to analyze data sets and design analytical solutions. Responsibilities include translating idea to data, data preparation, analysis and modelling, user testing, product development and maintenance.

Requirements

• Must be a current undergraduate, graduate or advanced degree student in good academic standing.
• Student must be enrolled at an accredited 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/co-op.
• 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.

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

• Experience with Data Visualization Tools
• Strong command of Microsoft Excel and PowerPoint
• Proficient in Python and or R, SQL
• Understanding of database and analytical technologies in the industry
• Experience or coursework in machine learning and/or deep learning packages available for R and Python
• Demonstrated ability to think strategically about business, product and technical challenges in an enterprise environment
• Ability to collaborate in a team environment and excel working in a VUCA environment
• Strong oral and written communication skills
• Experience with large data sets and distributed computing (Hive/Hadoop) is a plus.