Data Scientist

Description

Data Scientist with Boehringer Ingelheim USA Corporation in Duluth, GA (Telecommuting permitted: Work may be performed within normal commuting distance from this office 2 to 3 days per week)

Job Duties:

• Apply expertise in data science to design, prototype, and build the next-generation analytics engines and services.
• Identify, evaluate, and implement the most appropriate algorithm for the specific challenge.
• Prioritize, scope, and measure the corresponding Key Performance Indicators (KPIs)/Objectives and Key Results (OKRs) for success.
• Establish the monitoring of data science models in production.
• Use agile project management approach to initiatives and launches.
• Collaborate with cross-functional teams to implement and deploy scalable solutions.
• Collaborate across the business to understand data, IT, and business constraints.
• Promote collaboration and knowledge exchange with other data science teams within and outside the organization.
• Guide the organization about the business potential and strategy of artificial intelligence (AI)/data science.
• Actively network on a regular basis with domain experts to better understand the business mechanics that generated the data.
• Train and coach other business and IT staff on basic data science principles and techniques.
• Provide thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders.

*Telecommuting permitted: Work may be performed within normal commuting distance from the Boehringer Ingelheim USA Corporation office in Duluth, GA 2 to 3 days per week.

Work Schedule: 40 hours per week (8:00am to 5:00pm)

Job Requirements:

Master’s degree (US or foreign equivalent) in Computer Science, Information Technology and Management, Analytics, Statistics, or a related quantitative field and two (2) years of experience in the job offered or in a related role OR Bachelor’s degree (US or foreign equivalent) in Computer Science, Information Technology and Management, Analytics, Statistics, or a related quantitative field and five (5) years of experience in the job offered or in a related role. Must have two (2) years of experience with programming language, such as Python, R or SPSS. Must have one (1) year of experience with: Data Visualization Tool, including Tableau, Quicksight, Power BI, Qlik, Dash, Streamlit or Flask; analyzing structured data; data classification, segmentation, or clustering; regression modeling or statistical modeling; and, univariate or bivariate analysis. Must have experience with statistical hypothesis testing.

Our Company

At Boehringer Ingelheim we develop breakthrough therapies that improve the lives of both humans and animals. Founded in 1885 and family-owned ever since, Boehringer Ingelheim takes a long-term perspective. Now, we are powered by 52,000 employees globally who nurture a diverse, collaborative and inclusive culture. We believe that if we have talented and ambitious people who are passionate about innovation, there is no limit to what we can achieve.

Why Boehringer Ingelheim?

With us, you can grow, collaborate, innovate and improve lives.

We offer challenging work in a respectful and friendly global working environment surrounded by a world of innovation driven mindsets and practices. In addition, learning and development for all employees is key, because your growth is our growth.

Boehringer Ingelheim is an equal opportunity global employer who takes pride in maintaining a diverse and inclusive culture. We embrace diversity of perspectives and strive for an inclusive environment, which benefits our employees, patients and communities.

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

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.