Data Scientist for Campbell Soup Remote

Profile

Hello,
I Hope you are doing great.
This is Ajay
from **MEMBERS ONLY**SIGN UP NOW***.; we've got an important role Data Scientist for Campbell Soup
Remote
with one of our prestigious clients. Interested candidates can please send your updated resume at ****
Role: Data Scientist for Campbell Soup
Location: Remote
Job Description:
A data scientist who worked on sales/commercial data is preferred.
They have a program to move to new architecture but while it's in the works, they are looking for a consultant to come and implement solutions in the current architecture. The two people will support two work streams - Supply Chain and Commercial/sales. They will be working with the Data Science team to create/build models. They need someone to operationalize the models as well.
The ideal candidate will have PYTHON experience, DataBricks is a plus.
THE MUST HAVES FOR THIS ROLE are the following:
Background in statistics, model development, regression models, probability - packages in Python; familiarity with modern data science libraries and tools, including but not limited to Gurobi, Pulp, Scipy, Scikit-learn, Pandas, Tensorflow, Keras, and similar.
Programming: 2 years of experience in Python and/or R.
Databases: 2 years of database experience using SQL or similar.
Forecasting model project experience, Time Series, Regression Models
On the interview, the candidate must be prepared to answer statistics/probability questions
Candidates are preferred who have degrees in Mathematics, Statistics, or Computer Science.
Another plus is optimization/operations research...
Data scientist is responsible for developing statistical algorithms to generate actionable recommendations that will drive disproportionate value to Campbell's business. 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.
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 Microsoft Azure is a plus.
Communication Skills Business Writing and Presentation
Thanks & Regards,
Ajay Kumar
Intellect Inc
EXT:382
Direct No: 732-696-7396
Mail: Ajaykumar@
(link removed)
517 Route 1 South, Suite 1115 Iselin, NJ 08830.
**MEMBERS ONLY**SIGN UP NOW***.

Company info

Sign Up Now - WashingtondcCrossing.com