Junior Machine Learning Engineer

In this position, you will embark on a journey of leveraging vast amounts of data to transform it into actionable insights. You will aid in the development of analytics models and work under the guidance of seasoned data science professionals to drive decision-making and strategy across the organization. This is an exciting opportunity to grow in your career in data science and analytics within a supportive and innovative environment. 

What You’ll Do for Us: 

• Collaborate with cross-functional teams to understand business requirements and objectives. 

• Translate business requirements by incorporating data and develop ML and AI algorithms to produce actionable insights for various functional areas and use-cases, including Marketing, Finance, Technical Innovation and Supply Chain (among others) across the Globe. 

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

• Visualize and interpret data and create reports and actionable insights.  

• Communicate complex analytical work to a variety of technical and non-technical stakeholders. 

• Partner with ML OPS to scale and operationalize ML and AI use-cases. 

• Maintain technical documentation in accordance with the agreed standards. 

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

• Leverage CI and CD principles to automate and improve repeatability of deployments. 

• Keep abreast of industry trends and developments in data science and analytics. 

Qualifications & Requirements: 

• Bachelor’s or Master’s degree in a quantitative field, such as Data Science, Statistics, Computer Science, Economics, Finance, Mathematics or other quantitative discipline.   

• Experience gathering, interpreting and translating business requirements. 

• 2+ years’ experience with analytical and programming languages and packages, such as Python, R, and SQL. 

• Able to understand various data structures and common methods in data transformation. 

• Knowledge and experience applying a range of statistical, modeling, and mathematical optimization techniques including hypothesis testing, dimensionality reduction, Mixed-Integer Programming (MIP), supervised learning (classification and regression), Bayesian modeling, forecasting, and unsupervised clustering and putting solutions into production. 

• 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. 

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

Functional Skills:    

Practical experience with as many of the following as possible: 

• Handles multiple competing priorities in a fast-paced, deadline-driven environment  

• Strong attention to details and excellent problem-solving skills  

• Ability to work in a collaborative team environment  

• Highly innovative, adaptable, and self-directed  

• Results-oriented with a delivery focus  

• Presentation skills: Ability to communicate technical topics to business audience. 

• Be able to collaborate across other levels of the organization 

• Team player who can lead a discussion to defined outcomes 

• Effective Communication 

• Pursuing Innovation 

What We Can Do for You:  

• Innovation & Technology: The ability to work with an award-winning team that is on the cutting edge of innovation.  

• Exposure to World Class Leaders: Availability to global technology leaders that will expand your network and exposure you to emerging technologies and techniques.  

• Agile Work Environment: We embrace agile with management that believes in removing barriers, so you are empowered to experiment, iterate and innovate. 

 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.