Data Scientist: Job Description

Uses advanced techniques that integrate traditional and non-traditional datasets to enable analytical solutions. Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer and consumer facing applications; Builds analytical solutions leveraging internal and external applications to deliver value and create competitive advantage. Translates complex analytical and technical concepts to non-technical employees.

Tasks:

Partners with business leaders across the organization to define business problems and research questions; serves as key resource and Subject Matter Expert (SME) on cross functional, matrixed teams to solve highly complex work critical to the organization.

Builds large and complex information sets; Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.

Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives.

Serves as key resource and Subject Matter Expert (SME) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.

Works with IT to translate prototypes into new products, services, and features.

Builds and maintains a robust library of reusable algorithms and supporting code, such that research efforts are based on the highest quality data, are transparently conducted, and can be productionized and are reproducible.

Translates complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions.

Maintains academic and industry relationships for the purposes of research; maintains expertise and awareness of cutting-edge techniques, technologies and potential business solutions.

Minimum Requirements:

Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field. 6 additional years of related experience beyond the minimum required may be substituted in lieu of a degree.

6 years of experience in predictive modeling, large data analysis and computer science.

Experience in stochastic modeling, machine learning, and other advanced mathematical techniques (e.g., neural nets, simulation, graph analysis).

Solid experience in at least one compiled language (e.g., Java, C or more) and one dynamic scripting language (Python, R).

Excellent pattern recognition and predictive modeling skills.

Knowledge and application of Data Science principals and experience with data science methodologies.

Experience with the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.

Technical skills, consulting experience, and business savvy to interface with all levels and disciplines within our customers’ organization.

Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science.

Preferred Experience:

Hands-on experience developing products that utilize advanced machine learning techniques like deep learning in areas such as computer vision, Natural Language Processing (NLP), sensor data from the Internet of Things (IoT), and recommender systems; along with transitioning those solutions from the development environment into the production environment for full-time use.

Knowledge of best practices for managing model risk.

Prior experience of developing and implanting data science solutions in AWS or Azure.

Prior experience supporting The CPG business.

Skills:

Agile Methodologies, Artificial Intelligence Technologies, Azure Machine Learning Studio, Cloud Platform, Communication, Computer Vision, Data Science, Deep Learning, Digital Transformation, Machine Learning, Microsoft Azure Databricks, Microsoft Office

Skills:

Data Science; Microsoft Office; Communication; Microsoft Azure Databricks; Digital Transformation; Azure Machine Learning Studio; Computer Vision; Artificial Intelligence Technologies; Cloud Platform; Deep Learning; Agile Methodologies; Machine Learning

Our Purpose and Growth Culture:

We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what’s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors – curious, empowered, inclusive and agile – and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.

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. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.