Manager, Machine Learning Ops

The Coca-Cola Company’s Technology organization isin the midst ofa digital transformation that allows our employees to useworld classtechnology to connect our products to our customers all over the world. This journey is a very exciting time forCoca-Colaand our employees are big contributors to our Success and Growth. Our large scale and complex environmentoffersan incredible opportunity to address challenges, enable innovative solutions to make a difference for our customers.

In this position, you will embark on a journey ofleveragingvast 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 strategyacross the organization. This is an exciting opportunity togrow inyour career in data science and analytics within a supportive and innovative environment.

WhatYou’llDo for Us:

• Collaborate with cross-functional teams to understand businessrequirementsandobjectives.

• Translate business requirementsby incorporating data and developML and AIalgorithms toproduce actionable insightsfor various functional areas and use-cases, includingMarketing,Finance,TechnicalInnovation andSupply Chain (amongothers) across the Globe.

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

• Visualizeand interpretdata andcreatereportsand actionable insights.

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

• Partner withML OPSto scaleandoperationalize MLandAIuse-cases.

• Maintain technical documentationin accordance withthe agreed standards.

• Build andmaintaina robust library of data science solutions, reusable templates,algorithmsand supporting code.

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

• Keepabreastof industry trends and developments in data science and analytics.

Qualifications & Requirements:

• Bachelor’s orMaster’sdegree inaquantitative field, such asData Science,Statistics,Computer Science,Economics, Finance,Mathematicsor other quantitativediscipline.  

• Experience gathering,interpretingand translating business requirements.

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

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

• Knowledge and experienceapplying 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 applyingnew technologiesrelated 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 businessaudience.

• 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 thecutting edgeof innovation. 

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

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