Senior Manager, Data Science

Location(s):

United States of America

City/Cities:

Atlanta

Travel Required:

00% - 25%

Relocation Provided:

No

Job Posting End Date:

September 13, 2024

Shift:

Job Description Summary:

About Research Team:  

Our team is researching and developing the most advanced science and technology in beverage industry to help drive business related innovation and growth. We continuously leverage the external technological development into our research program. We would like to integrate data science into our research program to help bring research efficiency and innovation to next level.   

Job Description Summary:  

You will play a critical role in our research program in global RD, where you will be responsible for building dataset, developing advanced analytics and machine learning models by digging into very valuable data generated from long time product development across global RD community.  You will also work closely with IT partners, project owners and business stakeholders to deliver impactful data science solutions and insight for research program direction. You will have the opportunity to do your best work every day and deliver disruptive innovation by tapping into new datasets, leveraging the latest cloud technologies, and being supported by a dedicated research team, robust analytics and TI&SC (Technical, Innovation & Supply Chain) and IT organization.  

Tasks: 

• Partner with research scientists from different programs with different data science need to translate challenging research problems into impactful data science solutions. 

• Collaborate with research scientists, program owners, and business users to lead projects through the end-to-end data science lifecycle, including: data wrangling, exploratory analysis, hypothesis testing, modeling, rapid prototyping, business validation/testing, and operational deployment 

• Build dataset by digging and sorting the intensive historical research data against the current research problem.  

• Apply a variety of advanced analytical techniques, including: predictive modeling, machine learning, time series analysis, simulation and optimization 

• Leverage a diverse set of large structured and unstructured data to derive meaningful insights and information sets for modeling 

• Communicate complex analytical work to a variety of technical and non-technical stakeholders including executive management such as the Chief Innovation Officer 

• Maintain expertise and awareness of emerging data science techniques, technologies and potential business applications for ML/AI 

• Build and maintain a robust library of data science solutions, reusable templates, algorithms and supporting code 

Minimum Requirements: 

• Master’s degree in an analytical field such as Data Science, Computer Science, Applied Mathematics, or Operations Research.