IT Co-Op Data Science

Boehringer Ingelheim; Ridgefield (CT); On-site; USD 20,000 - 27,000; 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 with business stakeholders to analyze data, identify opportunities, and develop analytic solutions that support data-driven decisions.

On-site and local to Ridgefield, co-op students will work for at least 4 months (potential extension to 6 months). This full-time co-op is designed for students pursuing undergraduate or graduate degrees in related fields.

Qualifications

• Current undergraduate, graduate, or advanced degree student in good academic standing.
• Enrolled at an accredited college/university for the duration of internship/co-op.
• GPA 3.0 or higher on a 4.0 scale preferred.
• Major or minor in a related field of internship/co-op.

Responsibilities

• Analyze data sets with business team to design analytic solutions.
• Translate ideas to data, perform data prep, analysis and modelling.
• Conduct user testing, support product development and maintenance.

Skills

Data Visualization

Excel

PowerPoint

Python

R

SQL

Databases & Analytics

ML & DL (R/Python)

Strategic thinking

Team collaboration

Communication skills

Large datasets

Hadoop/Hive

Education

Undergraduate or Graduate student

GPA 3.0 (4.0 scale)

12 credit hours completed (UG)

Graduate coursework allowed

Tools

Hive/Hadoop

Job 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.

• Expect to be on-site for at least 3 days per week and must be located in the local area for the Co-op.
• Candidates will start in the time frame noted on the questions when you apply for this role.
• Co-op Students will work for at least 4 months after the start date. We may extend you up to 6 months in total depending on business needs. These are Full time positions.

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

Our Company

Boehringer Ingelheim is a biopharmaceutical company active in both human and animal health. As one of the industry's top investors in research and development, the company focuses on developing innovative therapies that can improve and extend lives in areas of high unmet medical need. Independent since its foundation in 1885, Boehringer takes a long-term perspective, embedding sustainability along the entire value chain. Our approximately 54,300 employees serve over 130 markets to build a healthier and more sustainable tomorrow. Learn more at www.boehringer-ingelheim.com.

Why Boehringer Ingelheim?

With us, you can develop your own path in a company with a culture that knows our differences are our strengths - and break new ground in the drive to make millions of lives better.

Here, your development is our priority. Supporting you to build a career as part of a workplace that is independent, authentic and bold, while tackling challenging work in a respectful and friendly environment where everyone is valued and welcomed.

Alongside, you have access to programs and groups that ensure your health and wellbeing are looked after - as we make major investments to drive global accessibility to healthcare. By being part of a team that is constantly innovating, you'll be helping to transform lives for generations.

Want to learn more? Visit https://www.boehringer-ingelheim.com