Data Science Internship Opportunity

1 week ago


Lakeville, Minnesota, United States Post Holdings Full time
Job Description

Post Consumer Brands, a leading manufacturer of consumer packaged goods, is seeking a highly motivated and detail-oriented Data Science Intern to join our team for a 12-week summer internship. As a Data Science Intern, you will have the opportunity to work on real-world projects, collaborate with cross-functional teams, and develop your skills in data analysis, machine learning, and data visualization.

Responsibilities
  • Assist in the development of predictive models using Python, R, and SQL
  • Analyze and visualize data to identify trends and insights
  • Collaborate with the Data Engineering and Reporting teams to deliver high-quality data science solutions
  • Explore new data sources and develop new features to improve production ML models
  • Present findings and recommendations to leadership and stakeholders
Requirements
  • Pursuing a four-year undergraduate or graduate degree in Mathematics, Statistics, Data Science, or related field
  • Experience in Python, R, and SQL
  • Proficiency in reporting tools such as Excel, Power BI, or Tableau
  • Demonstrated understanding of Statistical Modeling or Machine Learning concepts
  • Strong written and oral communication skills
Preferred Qualifications
  • Previous internship or work experience in data science or related field
  • Demonstrated interest in modern data platforms such as Snowflake, Databricks, or Hadoop
What We Offer
  • Competitive compensation
  • Access to a dynamic internship event program
  • Eligible for subsidized housing and $2,500 relocation stipend
  • Cereal galore – enjoy a variety of cereal and oatmeal options in our break room, for free

Post Holdings provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, status as a covered veteran, and any other category protected under applicable federal, state, provincial, and local laws.



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