Data Science and Analyst

Hillandale Farms

$70K — $95K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3-5 years of experience in data science, analytics, or related field.
  • Proficiency in Python (including libraries such as pandas, scikit-learn, NumPy, matplotlib/seaborn) or R.
  • Strong SQL capabilities, including writing complex queries and using CTEs and window functions.
  • Experience in developing dashboards and business reporting using Power BI.
  • Solid understanding of statistical principles and methodologies.
  • Familiarity with version control systems (like Git) for collaboration.
  • Exceptional communication skills with an emphasis on data storytelling.

Responsibilities

  • Design and maintain data analytics solutions tailored to the organization's needs.
  • Translate business requirements into actionable insights and reporting solutions via Power BI.
  • Collaborate with management to identify analytical opportunities and develop new solutions.
  • Implement enhancements for existing analytical processes to improve efficiency.
  • Drive data-driven decision-making across the organization.

Benefits

  • Opportunity to work in a growing data team and influence business decision-making.
  • Exposure to various business operations through the role's collaborative nature.
  • Potential for occasional travel to different company locations, enhancing networking and experience.
  • Engagement in projects that bridge exploratory analysis and production-grade modeling.
Full Job 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.

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.

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