Americold is looking for interns to work on challenging and industry-specific projects to improve planning accuracy for appointments and labor needs at site centers by leveraging historical operational data and developing predictive planning and forecasting tools.
Requirements
- Knowledge of Object-Oriented Programming Concepts, Data Structures, Data Mining, Machine Learning and AI
- A strong understanding of programming languages extensively used in Data Science applications (e.g. Python, R, Scala, Java, etc.)
- Modeling, scripting, and data wrangling (Pandas, Scikit-learn, etc.)
- SQL proficiency in querying complex datasets. Redshift, Oracle and Document DB/MongoDB experience is a plus.
- Machine learning and statistics exposure, familiarity with time series forecasting, classification models, and regression analysis.
- Cloud architecture coursework with AWS
- Exposure to Apache Airflow or other workflow orchestration tools.
Responsibilities
- Collaborate with data engineering and business teams to collect and understand requirements for predictive planning and forecasting tools.
- Build a production-ready prototype that leverages historical operational data to improve planning accuracy for appointments and labor needs at site centers.
- Extract and transform data from AWS Redshift and Oracle DB using SQL and Python-based tools (e.g. Pandas, AWS boto3, Glue).
- Develop time series or classification/regression models for one or more business problems: appointment scheduling optimization and prediction, labor forecasting.
- Design and implement data validation logic or anomaly detection algorithms across multi-source pipelines between on-prem and AWS.
- Summarize findings into clear reports, dashboards, and/or Jupyter notebooks.
- Present results with actionable recommendations to technical and operational stakeholders.
Other
- Pursuing Bachelors or Masters of Science degree in Computer Science, Statistics, Engineering or equivalent
- Effective analytical and problem-solving skills.
- Excellent written and oral communication skills.
- Demonstrated planning, task organizing and execution skills.
- Ability to work in team-oriented environment.
