Data Scientist

CONA Services•New York, NY

24d•$23 - $25

About The Position

Working at Liberty Coca-Cola Beverages LLC is all about pursuing a career not just a job. Discover what it means to be energized by a multitude of possibilities and a dynamic team. About LibertyAt Liberty Coca-Cola, we strive to make our workforce as inclusive and diverse as the communities we serve. Our associates are our #1 asset, and we are committed to investing in our people, maintaining the highest safety standards, and creating a culture of growth and innovation. We offer competitive compensation and benefit packages to full-time, regular associates, including: Medical, Dental, Vision, Prescription drug plans, 401K with company contributions, paid vacation, company paid holidays, and more. Discover what it means to be energized by a multitude of possibilities and a dynamic team. Join us here at Liberty Coca-Cola Beverages LLC.SummaryWe are looking for a highly motivated and analytical Data Scientist to join our Business Intelligence team at Liberty Coca-Cola Beverages. You will help unlock insights from large and diverse datasets to drive smarter decisions in areas like sales forecasting, supply chain optimization, customer segmentation, marketing performance, and more. This is a great opportunity for someone early in their career to work on real business problems, learn from experienced data professionals, and grow in a data-driven organization.

Requirements

Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related field
2+ years of experience working with data and analytics
Proficient in Python and SQL for data analysis and modeling in Snowflake
Strong SQL skills for querying large datasets in Snowflake
Understanding of machine learning algorithms (e.g., regression, classification, clustering)
Familiarity with data visualization tools (e.g., Power BI or Python libraries)
Strong analytical and problem-solving skills

Responsibilities

Develop and Deploy AI Solutions
Design, implement, and deploy AI models (including deep learning and natural language processing) to solve complex business challenges such as, but not limited to, demand forecasting, customer behavior prediction, and process automation
Leverage Generative AI and LLMs
Explore and apply generative AI techniques (e.g., large language models, image generation) to automate reporting, generate insights, and enhance decision-making processes
Integrate AI into Business Workflows
Collaborate with the Data Engineer to integrate AI-powered features into business intelligence platforms, dashboards, and operational tools
Monitor and Optimize AI Model Performance
Continuously monitor, evaluate, and refine AI models to ensure accuracy, fairness, and scalability in production environments.
Champion Responsible AI Practices
Advocate for ethical AI use, including bias detection, explainability, and compliance with data privacy standards
Stay Current with AI Research
Keep abreast of the latest advancements in AI, machine learning, and data science, and proactively introduce innovative approaches to the team