Packaging System Analytics Intern/Co-Op (Seasonal)
Overview:
Are you ready to move your career forward, and start the BEST job of your life? Haskell is committed to providing you with the resources to help you grow and discover your potential. We promote an environment that encourages innovative ideas and allows you to develop the best “how” to get the job done.
Haskell is looking for a Packaging System Analytics, Seasonal Intern/Co-Op. A "Co-Op" at Haskell, (or reoccurring internship), differs from a typical '"Internship", in that you will attend school and work full-time, during a particular semester.Further, our preference would be for you to continue your experience throughout multiple semesters/time frames.
The System Analytics team supports the broader business by providing consulting services to market-leading manufacturers of consumer and food and beverage products. Projects could include designing packaging and warehouse systems or optimizing existing facilities.The SA team develops and customizes tools with elements such as forecasting, optimization, simulation, warehouse logistics, and data visualization.
In this role, with the guidance and mentorship of senior members, you will tackle a host of Industrial and Systems Engineering problems in a rapidly changing environment. Typical engagements last between 6-12 weeks, and an Engineering Aide must be able to effectively handle potentially 2-3 projects simultaneously.This unique experience will allow you to gain a wide range of experience in several markets in a short amount of time. With visibility to VPs and higher in many Fortune 100 companies, this role will provide a unique and invaluable opportunity to leverage state-of-the-art tools for consulting services.
Job Responsibilities:
- Learn and master simulation software packages
- Develop and maintain code to Haskell's standards
- Identify opportunities to leverage analytics to provide value
- Formulate and solve complex analytics problems
- Execute project work independently within budget and on schedule
- Compress, visualize and communicate data-driven results to customers
- Continue to develop technical and interpersonal skills
Education/Experience:
- Obtaining a BS in Industrial Engineering or related engineering degree
- Interests/Background in: Simulation, Optimization, Forecasting, Logistics
Specific Knowledge, Skills, License, Certifications:
- Possess strong skills with Microsoft Excel and data manipulation
- Ability to develop and maintain clean code (python, VBA, C#) within Haskell's standards
- Possess strong data visualization skills
- Ability to present complex ideas and results of analyses in a group setting
- Function, organize, and maintain project schedules independently
- Demonstrate good observation, listening, and communication skills
Environmental Factors and/or Physical Requirements:
While performing the duties of this job, this position is required to have ordinary ambulatory skills sufficient to visit other locations; and the ability to stand, walk, stoop, kneel, crouch, and manipulate (lift, carry, move) light to medium weights of 10-50 pounds.Requires good hand-eye coordination, and arm, hand and finger dexterity, including the ability to grasp, and visual acuity to use a keyboard, operate equipment and read application/form information. The associate frequently is required to sit, reach with hands and arms, talk, and hear.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities:
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, disability, or protected veteran status.
Haskell will make reasonable accommodations in compliance with the Americans with Disabilities Act of 1990 and the Americans with Disabilities Act Amendments Act of 2008. The job description will be reviewed periodically as duties and responsibilities change with business necessities.Essential and marginal job functions are subject to modification.
Haskell is a Drug-Free Workplace.