Location(s):

Bulgaria

City/Cities:

Sofia

Travel Required:

Relocation Provided:

No

Job Posting End Date:

January 24, 2025

Shift:

Job Description Summary:

The Coca-Cola Company is at the forefront of innovation in the Consumer Packaged Goods (CPG), beverage industry. We thrive on leveraging data-driven insights and cutting-edge technology to drive growth and deliver unparalleled value to our customers. We're seeking a hands-on Director of Data Science, Machine Learning, and Generative AI to lead data science initiatives and build groundbreaking AI solutions.

 

Position Overview:

 

This hands-on role involves driving strategy, developing advanced AI models, and ensuring the successful deployment of AI solutions across various business functions.

 

What You’ll Do for Us:

Business Collaboration: Work closely with cross-functional teams to understand business requirements, including Finance, Marketing, and Supply Chain, and translate them into AI/ML solutions.Model Development: Develop, implement, and optimize ML and AI algorithms to predict outcomes and derive insights from large structured and unstructured datasets.End-to-End Solutions: Oversee the complete lifecycle of AI/ML projects, from ideation to deployment and monitoring.Data Insights: Visualize and interpret data, creating actionable reports and insights.Scalability: Partner with ML Ops and other cross-functional teams to scale and operationalize ML and AI use-cases.Knowledge Sharing: Build and maintain a robust library of reusable data science solutions, templates, and code.Automation: Utilize CI/CD principles to automate deployments and improve repeatability.Stakeholder Communication: Clearly communicate complex analytical work to both technical and non-technical stakeholders, including executive management.Mentorship: Mentor and guide junior and aspiring data scientists within the organization.Innovation: Stay current with industry trends and advancements in data science, machine learning, and generative AI.

 

Qualifications and Requirements:

Education: Advanced degree (Ph.D. preferred) in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Statistics, or a related field.Experience: At least 10+ years in data science, machine learning, and AI, with a proven track record of delivering successful projects. Domain knowledge in Marketing or Time Series Forecasting preferred.Technical Skills: Expertise in programming languages (Python, R, SQL) and machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).Big Data: Experience with big data technologies (Hadoop, Spark, PySpark) and cloud platforms (AWS, Azure, GCP).Generative AI: Familiarity with generative AI techniques such as GANs, autoencoders, and transformers.Soft Skills: Strong problem-solving skills, attention to detail, and the ability to manage multiple priorities in a fast-paced environment.Communication: Excellent verbal and written communication skills, with the ability to convey complex technical information to diverse audiences.Leadership: Demonstrated leadership skills and experience working with cross-functional teams.

 

What We Offer:

Innovation & Technology: The chance to work with an award-winning team on the cutting edge of innovation.Leadership Exposure: Opportunities to interact with global technology leaders and expand your network.Agile Environment: A work environment that embraces agile principles, empowering you to experiment, iterate, and innovate.

Skills:

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.