What are the responsibilities and job description for the Data Scientist II position at System One?
Title: Data Scientist II
Location: Camden, NJ - S TRONG 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:
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Data scientist is responsible for developing statistical algorithms to generate actionable recommendations that will drive disproportionate value to Campbell’s business.
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Essential responsibilities will include but not be limited to:
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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.
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Retrieve, cleanse, manipulate, and translate complex data into business solutions across the company.
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Work with business analysts to oversee the implementation of the advanced analytics tools within business units.
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Work with cross-functional stakeholders (Supply Chain, Finance, Marketing, Sales, etc.) to identify areas where data science can bring disruptive value.
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Create meaningful data visualizations to communicate findings to generate buy-in and business impact.
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Work with data engineers to improve the existing data science infrastructure by evaluating or implementing new tools and overseeing the development of databases.
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Provide thought leadership for the advanced analytics within the company by providing support in training and recruiting new or existing talent.
Requirements:
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MS/Ph.D. student (Ph.D. student preferred) in Statistics, Computer Science, Mathematics, Engineering, Operations Research, or another quantitative field
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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.
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Programming: 2 years of experience in Python and/or R.
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Databases: 2 years of database experience using SQL or similar.
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Familiarity with modern data science libraries and tools, including but not limited to Gurobi, Pulp, Scipy, Scikit-learn, Pandas, Tensorflow, Keras, and similar.
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Experience with visualization software such as Power BI and Python Dash is a plus.
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Experience with cloud computing services such as ( Azure ML/Databricks) is a plus.
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Communication Skills – Business Writing and Presentation
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The incumbent will need to have a strong quantitative background, programming skills, knowledge or interest in the CPG business, leadership presence, and engagement.
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The incumbent must possess the ability to articulate complex algorithms in practical terms to business partners to facilitate adoption and execution.
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Strong written and verbal communication skills to influence others are crucial.
System One, and its subsidiaries including Joulé, ALTA IT Services, CM Access, TPGS, and MOUNTAIN, LTD., are leaders in delivering workforce solutions and integrated services across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible full-time employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.
System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.
