Post Consumer Brands is looking for a Data Science Intern to help extract meaningful patterns from enterprise data assets, develop new ML models, engineer robust ML pipelines, and explore new data sources to solve key business problems and improve business value.
Requirements
- Experience in Python (Pandas, scikit-learn, Pyspark, plotly) , R (tidyverse, ggplot) and SQL
- Proficiency in reporting tools such as Excel, Power BI or Tableau
- Demonstrated understanding of Statistical Modeling or Machine Learning concepts and the ability to develop predictive models
- Demonstrated interest in or prior experience with modern data platforms such as Snowflake, Databricks or Hadoop
Responsibilities
- ML Model Development and Enhancement – This includes identifying optimal model methodology, evaluation criteria and hyperparameter tuning.
- Feature Engineering – Create meaningful features with data assets to improve production ML models.
- Data Source Exploration – Explore disparate data sources to assess their value and usability in analytics solutions.
- Ad Hoc analysis – Dive into solving business problems partnering with stakeholders in the organization.
- Data Visualization – Create insightful dashboards and charts to aid in storytelling with business partners.
- Use Python, R and SQL to analyze and extract insights that will enhance decision making capabilities.
Other
- Candidates must be pursuing a four-year undergraduate or graduate degree or at an institution with an accredited program in Mathematics, Statistics, Data Science or related field with a graduation date in December 2026 or May 2027
- Curiosity to ask the “why” behind things, and creative problem solving to figure it out
- Ability to work independently and in teams and bring joy while doing so
- Strong written and oral communication skills
- Ability to handle confidential information and use discretion within and outside of the organization
- We are unable to proceed with candidates who require visa sponsorship now or in the future
