Data Scientist

Data Scientist jobs at Big-Data.digital

Data Scientist

Uses advanced techniques that integrate traditional and non-traditional datasets to enable analytical solutions. Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer and consumer facing applications; Builds analytical solutions leveraging internal and external applications to deliver value and create competitive advantage. Translates complex analytical and technical concepts to non-technical employees.

Tasks:

  • Partners with business leaders across the organization to define business problems and research questions; serves as key resource and Subject Matter Expert (SME) on cross functional, matrixed teams to solve highly complex work critical to the organization.
  • Builds large and complex information sets; Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.
  • Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives.
  • Serves as key resource and Subject Matter Expert (SME) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.
  • Works with IT to translate prototypes into new products, services, and features.
  • Builds and maintains a robust library of reusable algorithms and supporting code, such that research efforts are based on the highest quality data, are transparently conducted, and can be productionized and are reproducible.
  • Translates complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions.
  • Maintains academic and industry relationships for the purposes of research; maintains expertise and awareness of cutting-edge techniques, technologies and potential business solutions.

Minimum Requirements:

  • Master`s degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field. 6 additional years of related experience beyond the minimum required may be substituted in lieu of a degree.
  • 6 years of experience in predictive modeling, large data analysis and computer science.
  • Experience in stochastic modeling, machine learning, and other advanced mathematical techniques (e.g., neural nets, simulation, graph analysis).
  • Solid experience in at least one compiled language (e.g., Java, C or more) and one dynamic scripting language (Python, R).
  • Excellent pattern recognition and predictive modeling skills.
  • Knowledge and application of Data Science principals and experience with data science methodologies.
  • Experience with the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.
  • Technical skills, consulting experience, and business savvy to interface with all levels and disciplines within our customers’ organization.
  • Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science.

Preferred Experience:

  • Hands-on experience developing products that utilize advanced machine learning techniques in forecasting and knowledge representation/graph along with transitioning those solutions from the development environment into the production environment for full-time use.
  • Knowledge of best practices for managing model risk.
  • Prior experience of developing and implanting data science solutions in AWS or Azure.
  • Prior experience supporting Finance organizations.


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.

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Published 2021-11-13

The Coca-Cola Company looks for a Data Scientist in Plano, TX 75024 location.

How much Data Scientist Jobs professional earns at The Coca-Cola Company?

The proposed salary for Data Scientist Jobs position at The Coca-Cola Company is Not disclosed.

Data Scientist responsibilities at The Coca-Cola Company

According to the common industry standard, Data Scientist Jobs specialist is in charge for the following activities.

Required Data Scientist Jobs qualifications at The Coca-Cola Company

To be disscussed with candidate