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. 3 additional years of related experience beyond the minimum required may be substituted in lieu of a degree.

• 3+ years working as a data scientist developing, optimizing and deploying production models

• Demonstrated experience applying a range of statistical and modeling techniques including hypothesis testing, dimensionality reduction, supervised learning (classification and regression), forecasting, and unsupervised clustering

• Strong learning attitude and capability to understand the research basic knowledge, terminology and strategy in order to translate the research need into data science solution.

• Demonstrated experience in scripting and programming with Python and SQL

• Demonstrated experience in large-scale data wrangling with relational databases and/or Spark

• Experience gathering, interpreting and translating research and business requirements

• Strong aptitude for learning and applying new technologies related to Data Science and Data Management

• Demonstrated ability to communicate complex analytical concepts and results at multiple levels to both technical and non-technical audiences

Preferred Experience:

• Experience with the Microsoft Azure analytics stack (Cosmos DB, Azure Synapse, Azure ML, Databricks)

• Experience with code version control platforms like GitHub, GitLab or Azure DevOps

• Experience working in Science related projects

Skills:

Influencing

$133,000 - $157,000

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.