Rich's, also known as Rich Products Corporation, is a family-owned food company dedicated to inspiring possibilities. From cakes and icings to pizza, appetizers and specialty toppings, our products are used in homes, restaurants and bakeries around the world. Beyond great food, our customers also gain insights to help them stay competitive, no matter their size. Our portfolio includes creative solutions geared at helping food industry professionals compete in foodservice, retail, in-store bakery, deli, and prepared foods, among others. Working in 100 locations globally, with annual sales exceeding $4billion, Rich's is a global leader with a focus on everything that family makes possible. Rich's-Infinite Possibilities. One Family.

Purpose Statement

TheData and Analytics Internwill be part of the Rich's Demand Creation Analytics Team. This is a cross functional team that supports and enables Rich's sales & marketing teams, while providing analytical solutions leveraging components of the Azure platform including Data Factory, SQL, Machine Learning Studio, Auto ML, Jupyter & Databricks Notebooks, and Python scripts. Our team truly believes in our Co-Op program as a two-way street. We view the work as important as the journey - we love to help our Co-Op students feel valued, both contributing to the team while also gaining experience.

Term will be Fall 2024 with the potential to extend into the Spring 2025 semester. This position is based out of Buffalo, NY* but we are willing to consider remote students.

*Buffalo, NY area residents are expected to come onsite Tues-Thurs.

Key Accountabilities and Outcomes

• Responsible for supporting and developing data ingestion and modeling processes
• You will be leveraging the Azure platform to develop machine learning capabilities by utilizing Azure Machine Learning Studio, Auto ML, data stored in Rich's Azure Data Lake that contains customer profile and transactional information
• The main outcomes this position will produce is predictive analytics around customer behavior and opportunity volume
• You will perform data pre-processing to prepare data stored in the Data Lake to prepare and stage data for machine learning experimentation
• Must exhibit the ability to "tell a story" by building a narrative with the results of the machine learning model results
• Your ability to work in a SCRUM team environment of 5-7 members will be critical as these teams require associates to share work and work tasks daily
• You will attend daily stand up meetings, sprint planning, sprint backlog grooming and sprint demos to plan, collaborate and deliver your work tasks

Knowledge, Skills, and Experience

• Enrolled in a Bachelor's or Master's degree program in Computer Science, Data Engineering, IT, MIS or related computing discipline (undergrads are strongly preferred)

• Strong in Python scripting and utilizing Jupyter and/or Data Bricks notebooks with experience organizing and building in markdown documentation so that other team members can understand your work is critical

• Data modeling and pre-processing

• Experience building Machine Learning models in Azure Machine Learning Studio or similar technologies

• Experience with PowerBI or similar visualization technologies

• Experience with Visual Studio or Visual Studio Code and GIT repository management

• Problem solving utilizing hypothesis statements following the scientific method

• Excellent written and oral skills

• Excellent organizational skills and attention to detail

• Ability to quickly adopt new technology with a natural curiosity and critical thinking skills

• Ability to work with minimum supervision

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COMPENSATION

In accordance with state law, the rate or range provided is Rich Products Corporation, its subsidiaries and affiliates ("Rich's"), reasonable estimate of the base compensation for this role. The actual amount may be higher or lower, based on non-discriminatory factors such as experience, knowledge, skills, abilities, shift differential, and location.

Annual Range/Hourly Rate

$17.00-$32.00

Rich Products Corporation, its subsidiaries and affiliates ("Rich's"), are committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin or ancestry, sex, age, physical or mental disability, veteran or military status, genetic information, gender identity, sexual orientation, marital status or any other legally recognized protected basis under federal, state, or local law. The information collected by this application is solely to determine suitability for employment, verify identity, and maintain employment statistics on applicants.

Applicants with disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Rich's. Please contact Rich's Human Resources department at hrhelp@rich.com if you need assistance completing this application or to otherwise participate in the application process.