Joule | Data Scientist II | Camden, NJ | United States | BigDataKB.com | 2023-01-27

Title: Data Scientist II

Location: Camden, NJ – STRONG PREFERENCE for HYBRID – all coming into the office now to work with each other – large project coming in and onsite meetings will be needed – ideal to have a local candidate to come in for meetings throughout the week initially at start of assignment; if not remote is an option, but must support EST hours

Start date: ASAP

Responsibilities:

• Data scientist is responsible for developing statistical algorithms to generate actionable recommendations that will drive disproportionate value to Campbell’s business.
• Essential responsibilities will include but not be limited to:
• Use analytical models and algorithms, including Machine/Deep Learning, Artificial Intelligence, Multivariate Statistics (e.g., Clustering, Principal Component Analysis, Regression, Hypothesis testing, and Factor Analysis), Optimization, Data Mining, and Simulation; to develop and operationalize proprietary algorithms to promote joint value creation in the food industry across retailers, making Campbell a preferred supplier.
• Retrieve, cleanse, manipulate, and translate complex data into business solutions across the company.
• Work with business analysts to oversee the implementation of the advanced analytics tools within business units.
• Work with cross-functional stakeholders (Supply Chain, Finance, Marketing, Sales, etc.) to identify areas where data science can bring disruptive value.
• Create meaningful data visualizations to communicate findings to generate buy-in and business impact.
• Work with data engineers to improve the existing data science infrastructure by evaluating or implementing new tools and overseeing the development of databases.
• Provide thought leadership for the advanced analytics within the company by providing support in training and recruiting new or existing talent.

Requirements:

• MS/Ph.D. student (Ph.D. student preferred) in Statistics, Computer Science, Mathematics, Engineering, Operations Research, or another quantitative field
• Solid knowledge of both theory and practice of data science. Demonstrated expertise in some or all of the following: probability, statistics, operations research, classification and clustering methods, variable selection, and decision trees. Of particular interest are candidates experienced with formulating and solving optimization problems and experience with forecasting methods.
• Programming: 2+ years of experience in Python and/or R.
• Databases: 2+ years of database experience using SQL or similar.
• Familiarity with modern data science libraries and tools, including but not limited to Gurobi, Pulp, Scipy, Scikit-learn, Pandas, Tensorflow, Keras, and similar.
• Experience with visualization software such as Power BI and Python Dash is a plus.
• Experience with cloud computing services such as ( Azure ML/Databricks) is a plus.
• Communication Skills – Business Writing and Presentation
• The incumbent will need to have a strong quantitative background, programming skills, knowledge or interest in the CPG business, leadership presence, and engagement.
• The incumbent must possess the ability to articulate complex algorithms in practical terms to business partners to facilitate adoption and execution.
• Strong written and verbal communication skills to influence others are crucial.