The Associate Data Scientist will collaborate with members of the Analytics Center of Excellence (ACOE) and business users to build predictive models using third party and enterprise data. This position will work cross-functionally spanning departments including, but not limited to, Engineering, Production Planning, Manufacturing, Distribution, Procurement, Finance, Strategy, IT and HR.

 

Day-to-Day Role:

 

Collaborate with Analytics leadership to develop an understanding of the business’ data analytics needs Break down problems into pieces that can be solved with data, analysis, assumptions, and judgment Cleanse, integrate and evaluate large datasets Research and apply innovative statistical and machine learning models for data analysis Identify patterns and insights from the data Communicate findings through reports, dashboard, etc. to stakeholders, including non-technical business users to leadership Write structured and understandable code to enable smooth collaboration across the team and successful model deployment Facilitate projects from concept through deployment Collaborate with Data Engineering to deploy models into production Able to travel up to 10% domesticlly 

 

 

Core Skills and Qualifications:

 

Bachelor’s degree with an emphasis in mathematics, statistics, computer science, data science, or related field of study, Master’s degree, preferred Experience in a relevant field dealing with large data sets, conducting complex business analyses and presenting findings/conclusions in a compelling manner Technical skills including the suite of Microsoft Office products, cloud-based computing, and coding skills (such as SQL and Python) Understanding of machine learning methods, applied statistical analysis (regression, time-series, inferential statistics), exploratory data analysis including clustering Strong collaboration and facilitation skills Strong communication skills both written and verbal Ability to work effectively in a cross functional environment Able to adapt to the use of different tools as appropriate Results oriented individual with a bias for action

 

 

Preferred Skills and Qualifications:

Working knowledge of SAP Business Intelligence (BI)/Business Warehouse (BW), preferred Experieince with Data Governance, preferred  Experience with Microsoft Power BI, preferred Experience with Azure, preferred Experience with Databricks, preferred Demonstrated business acumen and experience in manufacturing and/or consumer packaged goods industries,  preferred Experience with operational excellence, lean processes, continuous improvement, preferred

Overview: Dart makes everyday products that give people the freedom to enjoy the food & drinks they love, wherever they are. From to-go containers and dinnerware to tamper-evident food packaging and even the red Solo cup, Dart products have been keeping people on the go and having fun for more than 50 years. Dart is a family-owned, family-focused company of 13,000 employees united by a shared set of values. Headquartered in Mason, MI, Dart has 30 locations in four countries.

Benefits: Dart Container full-time employees enjoy great benefits, including medical, dental, vision, life insurance, 401(k) with company matching contributions, paid vacation, paid holidays, short-term disability, tuition assistance, product discounts and more.

Dart Container is a drug-free workplace.  Candidates are subject to a drug test (excluding THC*/marijuana/cannabis) and background check at the time of offer.

*THC testing ONLY when such testing is required by law.

Dart Container is an equal opportunity employer and will consider all candidates for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law.

https://www.dartcontainer.com/eeoaa/

If you have a disability and need an accommodation to access this website or for the application process, you should call Dart at (800) 545-3278 Ext 3370 or email us at ADArequests@dart.biz. Relay calls can be made by dialing 711 or the relay number for your state.

If you experience difficulty applying online, you may call (800) 545-3278 Ext 3390 or email us at applicationassistance@dart.biz for assistance.