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.
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