IT Data Scientist Intern

Americold Internship Experience (Aie):

The Americold Summer Internship Experience is a 12-week, full time, paid internship that takes place over the summer term in various locations throughout the country.  The internship opportunity will afford our interns to better understand the supply chain industry, work on challenging and industry-specific projects, plus the ability to collaborate with organizational leaders, colleagues, and peers. 

As an Americold Intern, the experience you will gain here will not only be essential to your personal and professional growth and development, but your contributions can make a vital difference for our company.

What You’Ll Do:

• 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.
• Work in an Agile, collaborative environment, partnering with other engineers, and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors.

What Experience You Need:

• Pursuing Bachelors or Masters of Science degree in Computer Science, Statistics, Engineering or equivalent
• 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.
• Ability to create compelling visualizations using BI tools such as Power Bi, Tableau, Looker, Matplotlib.

What Could Set You Apart:

• 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.
• Experience with Docker, Amazon Forecast, SageMaker or JupyterHub in cloud environments