HILLANDALE GETTYSBURG LLC

Data Science and Analyst

HILLANDALE GETTYSBURG LLC Gettysburg, Pennsylvania, United States

Food and Beverage Manufacturing · 201-500 employees

Jul 06
Mid (2-5 yrs) Full-time United States
Log in to apply, save this posting, or score it against your profile with AI.

About the role

Design and maintain data analytics solutions while collaborating with management to translate business needs into actionable insights. Implement new analytical models and enhance existing ones to support data-driven decision-making and operational efficiency.

What they look for

Python Pandas Scikit-learn NumPy Matplotlib Seaborn R SQL Power BI Statistics Git Data Modeling Data Analysis Dashboard Development Business Reporting

Requirements

Requires 3-5 years of experience in data science or analytics with proficiency in Python or R and SQL. Candidates must have strong communication skills and experience with Power BI for dashboard development.

Full description

Hillandale Farms is seeking a talented and curious Mid-Level Data Scientist & Analyst to join our growing data team. In this role, you will bridge exploratory analysis and production-grad modeling - Transforming raw data into actionable insights that drive business decisions. You will collaborate with management to generate metrics, build models, and clearly communicate results that support decision-making. THIS IS NOT A REMOTE POSITION

Requirements:

  • 3-5 years of hands-on experience in data science, analytics, or a related field.
  • Proficiency in Python (pandas, scikit-learn, NumPy, matplotlib/seaborn) or R.
  • Strong SQL skills - writing complex queries, CTEs, window functions.
  • Proficiency in Power BI for dashboard development and business reporting.
  • Solid understanding of statistics
  • Experience with version control (Git) and collaborative workflows.
  • Strong communication skills - ability to tell a story with data

Key Responsibilities:

Design and maintain data analytics solutions across the organization, working closely with business users to translate their needs into actionable insights and reporting through Power BI. Collaborate with management and company directors to identify opportunities, implement new analytical solutions, and enhance existing ones that support data-driven decision-making and drive operational efficiency across the organization.

Travel Requirements:

This role may require occasional travel, up to approximately 20% of the time, to support business operations across company locations.