Senior Data Scientist at The Coca-Cola Company | Atlanta, Georgia, United States | Rezi

Senior Data Scientist at The Coca-Cola Company

Senior Data Scientist

The Coca-Cola Company · Atlanta, Georgia, United States

1 months ago

Senior Data Scientist

The Coca-Cola Company · Atlanta, Georgia, United States

a month ago
Resume preview

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now
Resume preview

Tailor your resume to this Senior Data Scientist role.

Rezi rewrites your resume against The Coca-Cola Company's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Senior Data Scientist posting at The Coca-Cola Company — free, in seconds.

About the Role

The Coca-Cola Company's Technology organization is undergoing a digital transformation, offering a unique opportunity to leverage world-class technology to connect products with customers globally. This role involves transforming vast amounts of data into actionable insights, aiding in the development of analytics models under the guidance of experienced data science professionals to drive organizational decision-making and strategy.

Responsibilities

  • 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 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, including executive management.
  • 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.

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.
  • 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.
  • 4+ 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.
  • 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.

Skills

  • 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

Location

  • Atlanta, United States of America

Work Type

  • Full-time

Experience Level

  • 4+ years

Education Level

  • Bachelor's or Master's degree in a quantitative field
  • Ph.D. preferred

Salary/Compensations

  • 0 USD - 0 USD

Benefits

  • A full range of medical, financial, and/or other benefits, dependent on the position, is offered.

About the Company

  • 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.
  • 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.

Equal Opportunity

  • 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.