The Coca-Cola Company
The Coca-Cola Company

Manager, Machine Learning Ops

Atlanta, GA, US • Posted 4 hours ago • Updated 4 hours ago
Full Time
On-site
Company Branding Image
Fitment

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Job Details

Skills

  • Machine Learning Operations (ML Ops)
  • OFA
  • Decision-making
  • Use Cases
  • Unstructured Data
  • Continuous Integration
  • Continuous Delivery
  • Analytics
  • Science
  • Statistics
  • Computer Science
  • Economics
  • Finance
  • Programming Languages
  • Python
  • R
  • SQL
  • Data Structure
  • Statistical Models
  • Optimization
  • Testing
  • Supervised Learning
  • Regression Analysis
  • Modeling
  • Forecasting
  • Clustering
  • Data Science
  • Data Management
  • Analytical Skill
  • Version Control
  • GitHub
  • GitLab
  • Microsoft Azure
  • DevOps
  • Conflict Resolution
  • Problem Solving
  • Adaptability
  • FOCUS
  • Presentations
  • Collaboration
  • Effective Communication
  • Innovation
  • Network
  • Agile
  • Management

Summary

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: coke
  • Position Id: R-144459
  • Posted 4 hours ago

Company Info

About The Coca-Cola Company

On May 8, 1886, Dr. John Pemberton brought his perfected syrup to Jacobs' Pharmacy in downtown Atlanta, where the first glass of Coca‑Cola was poured. In its first year, about nine Coca-Cola drinks were served per day.

Today, The Coca-Cola Company, with numerous brands sold across more than 200 countries and territories, serves 2.2 billion drinks per day. We own 32 billion-dollar brands across several beverage categories worldwide. Our global portfolio of beverage brands includes the following:

• Sparkling Soft Drinks: Coca-Cola, Diet Coke/Coca-Cola Light, Coca-Cola Zero Sugar, Fanta, Fresca, Schweppes (owned by The Coca-Cola Company in certain countries other than the United States), Sprite and Thums Up
• Water, Sports, Coffee and Tea: Aquarius, Ayataka, BODYARMOR, Ciel, Costa, Crystal, Dasani, Fuze Tea, Georgia, glacéau smartwater, glacéau vitaminwater, Gold Peak, I LOHAS, Powerade and Topo Chico
• Juice, Value-Added Dairy and Plant-Based Beverages: Core Power, Del Valle, fairlife, innocent, Maaza, Minute Maid, Minute Maid Pulpy, Santa Clara and Simply

Our strong and stable bottling and distribution system helps us capture growth by manufacturing, distributing and selling existing, enhanced and new innovative products to consumers throughout the world.

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