Manager, Data Scientist AI/ML

Key Skills

Aartificial intelligence, Azure, Continuous Integration & Continuous Delivery - CI/CD, Data science techniques, DevOps, Effective communication skills, Github, GitLab, Machine learning techniques, PySpark, Python Programming, R Programming, SPARK Programming, SQL, Supply Chain Management

Job Description

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 predict outcomes for various functional areas and use-cases, including Finance, Marketing, 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.

• Develop, implement, and optimize ML and AI algorithms to predict outcomes and derive insights from large structured and unstructured datasets.

• 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 and other cross-functional teams 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.

Qualifications & Requirements:

• Master’s degree in a quantitative field, such as Data Science, Statistics, Economics, Finance, Mathematics, Operations Research or other quantitative discipline.

• 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, PySpark.

• 5+ years’ experience applying a range of statistical and modeling techniques including hypothesis testing, dimensionality reduction, supervised learning (classification and regression), 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.

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 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

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.

Skills:

Data Science; Data Warehousing (DW); Structured Query Language (SQL); Data Systems; Data Modeling; Agile Methodology; Business Intelligence (BI); Machine Learning Techniques; Data Analytics; Data Engineering; Data Processing; Artificial Intelligence (AI); Machine Learning; SQL Databases

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.