Principle Data Scientist

The Coca-Cola Company

Atlanta (GA)

On-site

USD 140,000 - 190,000

Full time

27 hours ago

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Job summary

The Coca-Cola Company’s Technology organization is undergoing a digital transformation to empower employees with world-class technology to connect our products to customers around the world. You will transform vast data into actionable insights and help develop ML/AI models under guidance from seasoned professionals, driving decision-making across the organization.

You will collaborate with cross-functional teams, build end-to-end analytics solutions, mentor junior data scientists, and

Qualifications

Bachelor’s or Master’s degree in a quantitative field (Data Science, Statistics, CS, Economics, Finance, Mathematics, OR) with Ph.D. preferred.
8+ years applying statistical, modeling, and optimization techniques including hypothesis testing, dimensionality reduction, MIP, supervised learning, Bayesian modeling, forecasting, and clustering.

Responsibilities

Collaborate with cross-functional teams to understand business requirements and objectives.
Translate requirements by incorporating data and develop ML/AI algorithms to produce actionable insights.
Leverage large structured and unstructured data to derive meaningful insights for modeling.
Develop end-to-end AI/ML and analytic solutions from ideation to production and monitoring.
Mentor, guide, and develop junior data scientists across the organization.

Skills

Communication skills

Cross-functional collaboration

Problem-solving

Presentation skills

Mentoring

Education

Bachelor’s or Master’s degree in Data Science/Statistics/CS/Math

Ph.D. preferred

Tools

Python

SQL

Azure Databricks

Spark

Cosmos DB

Azure Synapse

Azure ML

GitHub / GitLab / Azure DevOps

Job description

The Coca-Cola Company’s Technology organization is in the midst of a digital transformation that allows our employees to use world class technology to connect our products to our customers all over the world. This journey is a very exciting time for Coca-Cola and our employees are big contributors to our Success and Growth. Our large scale and complex environment offers an incredible opportunity to address challenges, enable innovative solutions to make a difference for our customers.

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.
Develop, manage, and maintain end-to-end (E2E) AI/ML and analytic solutions from ideation, production, and ongoing monitoring
Communicate complex analytical work to a variety of technical and non-technical stakeholders, including executive management.
Partner with ML OPS to scale and operationalize ML and AI use-cases.
Develop and 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.
Mentor, guide, and develop junior/aspiring data scientists across the organization.

Qualifications & Requirements:

Bachelor’s or Master’s degree in a quantitative field, such as Data Science, Statistics, Computer Science, Economics, Finance, Mathematics, Operations Research or other quantitative discipline. Ph.D. preferred.
8+ years’ 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.
Experience gathering, interpreting and translating business requirements.
Proficient 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.
Demonstrated experience in large-scale data wrangling with relational databases and/or Spark.
Demonstrated experience building end-to-end (E2E) data science and analytic solutions from ideation, production, and ongoing monitoring.
Demonstrated experience coordinating with cross-functional teams in completion of E2E solutions.
Demonstrated experience with the Microsoft Azure analytics stack (Cosmos DB, Azure Synapse, Azure ML, Databricks)
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

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, including senior executive stakeholders
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.

The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States.

Agile Methodology, Business Process Modeling, Change Management, Cloud Platform, Communication, Data Flow Diagram, DevOps, Digital Transformation, Enterprise Architecture Framework, Microsoft Azure Databricks, Microsoft Office, User Experience (UX)

Pay Range:

United States of America: 0 USD - 0 USD

Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.

Annual Incentive Reference Value Percentage:

Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.

Location(s):

United States of America

City/Cities:

Atlanta

Travel Required:

00% - 25%

Relocation Provided:

Yes

Job Posting End Date:

August 29, 2026

Our Purpose And Growth Culture:

Pay Range:United States of America: 0 USD - 0 USD

Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.

Annual Incentive Reference Value Percentage:

Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.

Long-term Incentive Reference Value Percentage:

0 - 20

Long-term Incentive reference value is a market-based competitive value for your role

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