Data Analyst

Codetech•Albert Lea, MN

About The Position

The role is described as a Data Science Specialist responsible for maintaining and optimizing existing data science models, conducting experiments on managed machine learning platforms, and translating complex data insights into actionable Python and SQL code. The position works with cross-functional teams to understand business requirements and provide data-driven solutions, performs in-depth analysis to identify trends, patterns, and opportunities for improvement, and stays current with developments in machine learning and data science.

Requirements

  • At least 5 years of total experience.
  • Strong proficiency in Python, including experience with data manipulation and analysis libraries.
  • Solid understanding of fundamental machine learning and data science concepts.
  • Experience working with managed machine learning platforms; DataRobot is preferred.
  • Proficiency in SQL for data extraction and manipulation.
  • Ability to interpret and translate complex data calculations from visualization tools such as Tableau.
  • Strong analytical and problem-solving skills.
  • Excellent communication skills, including the ability to explain technical concepts to non-technical stakeholders.
  • Bachelor’s or master’s degree in Computer Science, Statistics, Mathematics, or a related field.

Nice To Haves

  • Experience with cloud-based data platforms and big data technologies.
  • Familiarity with version control systems such as Git.
  • Knowledge of data privacy and security best practices.

Responsibilities

  • Maintain and optimize existing data science models to ensure their continued effectiveness and relevance.
  • Conduct experiments and analyses using managed machine learning platforms such as DataRobot.
  • Translate complex data calculations and insights from Tableau data sources into production-ready SQL and Python code.
  • Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions.
  • Perform in-depth data analysis to uncover trends, patterns, and opportunities for improvement.
  • Stay up to date with developments in machine learning and data science technologies.
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