Director, Data Science & Analysis

Key Skills

Apache Hadoop, AWS, Azure, Big Data Technology, Data Analysis, Data science techniques, Google Cloud Platform (GCP), Python Programming, R Programming, SPARK Programming

Job Description

This role is central to fostering an analytical mindset and will hold responsibility for the evolution and enhancement of analytical methodologies, emphasizing the innovation of new and the refinement of existing algorithms. The ideal candidate will possess substantial, hands-on experience in data querying, analytical programming, statistical programming, and visualization. They should excel in transforming raw data into insightful visual representations and have a profound understanding of and practical experience in various analytical and statistical approaches. The candidate should be adept at both innovating new methodologies and optimizing existing ones, ensuring the delivery of actionable, data-driven insights. Demonstrated ability to leverage learnings from deep analytics to business marketing applications is also required.

Key Responsibilities:

• Provide leadership for all data science initiatives within the Portfolio Strategy & Insights team – working closely with shared services (platform services) and external partners.
• Develop and implement advanced statistical models and machine learning algorithms to analyze consumer and shopper behavior, identify consumer segments, and predict future consumer trends.
• Guide the team in analyzing, visualizing, and interpreting complex data sets to provide actionable insights into our consumer and shoppers.
• Lead some of the key projects for the North America Operating Unit (NAOU) marketing team, working closely with external partners. (Project examples – marketing mix model, modeling customer loyalty data for understanding trends, growth pathways for brands leveraging multiple databases, etc.)
• Stay updated with the latest industry trends, techniques, and methods within the field of Data Science.
• Help build data science capabilities within NAOU PSHI and Marketing teams.

Qualifications:

• Bachelor’s degree required; Master’s degree in a relevant field preferred (e.g. Analytics, Computer Science, Mathematics, Statistics, Data Science, Economics) 
• 10+ years of work experience in a data-centric business environment – understanding of marketing, consumer, CPG will be an added advantage.
• Familiarity and understanding of market research/survey and qualitative data sets is a plus.
• Extensive hands-on experience in building scalable models in R, Python etc. and experience with cloud services like AWS, Azure, or Google Cloud Platform and leveraging them for deploying models and handling data.
• Expertise or demonstrable knowledge in Statistics / Machine Learning / Data Science Familiarity with big data technologies and frameworks like Hadoop, Spark, and experience with processing large and diverse datasets.
• Hands-on experience in deploying scalable models in production environments, integrating them with other business systems to maximize their utility.
• Proven comfort and an intellectual curiosity for working with large sets of data to address identified and sometimes undiscovered business needs. Demonstrated ability to use software to manipulate data, prototype new tools, and extract actionable insights from that data.
• Capable of presenting outcomes of analytic solutions in a format easily understood by a non-technical audience.

Skills:

Data Analytics; Influencing; Cross-Functional Teamwork; Data Science; Storytelling; Machine Learning Algorithms; Analytical Thinking; Data Driven; Market Research Consultancy

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.