Data Scientist

Data Scientist

Our client, an established and growing food manufacturer, is seeking a Data Scientist to join their team. The ideal candidate will have a proven track record of turning complex data into actionable insights, leading end-to-end data projects, and leveraging advanced tools to drive decision-making. You will collaborate with cross-functional teams to design, implement, and optimize data-driven strategies that enhance operational efficiency and product innovation.

This Role Offers:

• The opportunity to work with a leading name in the food/beverage manufacturing industry.
• A role with significant impact on the company’s efficiency and growth.
• Competitive compensation and a comprehensive benefits package.
• A collaborative work environment that values innovation and leadership.

Focus:

• Lead data-focused projects from inception through completion, including data engineering, analysis, predictive modeling, reporting, and visualization.
• Utilize Python for advanced data analysis, statistical modeling, and machine learning to develop and optimize solutions.
• Design and write efficient SQL queries and stored procedures to extract and transform data for analytical purposes.
• Create comprehensive dashboards and data visualizations to communicate findings to stakeholders.
• Work closely with cross-functional teams to translate business needs into data-driven solutions.

Skill Set:

• Bachelor’s degree or higher in Analytics, Statistics, Data Science, or a related field.
• A minimum of 3 years of experience in a data analysis or data science role.
• Strong knowledge of Python, especially in the areas of data analysis, statistical modeling, and machine learning frameworks.
• Expertise in SQL, with advanced skills in writing efficient queries and optimizing database performance.
• Proficiency with Microsoft Office Suite (Excel, Word, PowerPoint) for documentation and presentation of findings.

Preferred Skills:

• Experience with Apache Airflow for managing and scheduling workflows.
• Familiarity with Docker for containerizing workflows and maintaining project environments.
• Comfortable with command-line interaction in Unix/Linux operating systems.
• Hands-on experience with Plotly Dash or Streamlit for developing data applications and dashboards.
• Knowledge of Selenium for web scraping and automated data collection is a plus.