Saxon Global
Data Scientist
Saxon Global, Morton, Illinois, United States, 61550
We are looking for a dynamic, organized self-starter to join our Product Support and Logistics Division as a Senior Data Scientist in Morton, IL.
The Analytics Team uses quantitative methods such as business simulations, data mining, and advanced statistical techniques to solve problems. The Senior Data Scientist contributes to this mission by leveraging his or her quantitative analysis, data management, modeling and/or data visualization skills as an individual contributor to project teams tasked with solving business problems.
Job Duties/Responsibilities• Statistical modeling and analysis of dealer parts demand & inventory management• Improvement of existing and development of new inventory optimization techniques• Development, execution, and analysis of inventory management simulations• Analytics-based research in both independent and project team environments• Ad-hoc problem solving, data analysis, data processing, and data visualization• Developing/refining large-scale solutions to fit complex situations in multiple unique environments• Building familiarity with PIC system functionality and dealer service parts management practices• Decision-making on routine, medium-risk issues that affect project teams and internal customers• Effective communication of complex concepts and solutions to stakeholders & internal customers
Typical task breakdown:
-Python coding, transitioning SQL or SAS code, optimizing code, writing code
-Problem solving
-Research & analytical thinking
-Working on improving/establishing Living Machine Logistics (LML)
-Team meetings
-Support and running simulations.
-Support in other projects as needed.
Candidate Requirements
Education & Experience Required:
-Bachelor's degree, preferably in statistics, economics, mathematics, or a similar field with quantitative coursework,
and
4-5 years of professional experience utilizing quantitative analysis.
-Will accept a Master's degree
and
2-3 years of experience, or a PhD in one of the associated fields.
Technical Skills
Required
-Experience with analytical tools like SAS, SQL, R, Python, Tableau, Advanced Excel, Power BI (desired).
-Demonstrated experience working in MS Office and industry standard statistics and data visualization packages
-3+ years of professional experience utilizing quantitative analysis
-Knowledge of basic statistical approaches and/or data management techniques
Desired
-Project management skills
Soft Skills
-Teamwork
-Initiative
-Interpersonal Skills
-Effective communication (verbal and with digital media)
-Experience interacting directly with dealers or external customers.
-Exhibited the ability to work on increasingly more complex assignments
-Has demonstrated the ability to effectively communicate concepts using data visualization
Required Skills : Python programming, practical applications of machine learning techniques such as Clustering, Logistic Regression, CART, Random Forests, SVM or Neural Networks.Basic Qualification :
Python programming, practical applications of machine learning techniques such as Clustering, Logistic Regression, CART, Random Forests, SVM or Neural Networks.Additional Skills :
Python programming, practical applications of machine learning techniques such as Clustering, Logistic Regression, CART, Random Forests, SVM or Neural Networks.Background Check :YesNotes :Selling points for candidate :Project Verification Info :Candidate must be your W2 Employee :YesExclusive to Apex :NoFace to face interview required :NoCandidate must be local :YesCandidate must be authorized to work without sponsorship :YesInterview times set : :NoType of project :Development/EngineeringMaster Job Title :Data ScientistBranch Code :Bloomington
The Analytics Team uses quantitative methods such as business simulations, data mining, and advanced statistical techniques to solve problems. The Senior Data Scientist contributes to this mission by leveraging his or her quantitative analysis, data management, modeling and/or data visualization skills as an individual contributor to project teams tasked with solving business problems.
Job Duties/Responsibilities• Statistical modeling and analysis of dealer parts demand & inventory management• Improvement of existing and development of new inventory optimization techniques• Development, execution, and analysis of inventory management simulations• Analytics-based research in both independent and project team environments• Ad-hoc problem solving, data analysis, data processing, and data visualization• Developing/refining large-scale solutions to fit complex situations in multiple unique environments• Building familiarity with PIC system functionality and dealer service parts management practices• Decision-making on routine, medium-risk issues that affect project teams and internal customers• Effective communication of complex concepts and solutions to stakeholders & internal customers
Typical task breakdown:
-Python coding, transitioning SQL or SAS code, optimizing code, writing code
-Problem solving
-Research & analytical thinking
-Working on improving/establishing Living Machine Logistics (LML)
-Team meetings
-Support and running simulations.
-Support in other projects as needed.
Candidate Requirements
Education & Experience Required:
-Bachelor's degree, preferably in statistics, economics, mathematics, or a similar field with quantitative coursework,
and
4-5 years of professional experience utilizing quantitative analysis.
-Will accept a Master's degree
and
2-3 years of experience, or a PhD in one of the associated fields.
Technical Skills
Required
-Experience with analytical tools like SAS, SQL, R, Python, Tableau, Advanced Excel, Power BI (desired).
-Demonstrated experience working in MS Office and industry standard statistics and data visualization packages
-3+ years of professional experience utilizing quantitative analysis
-Knowledge of basic statistical approaches and/or data management techniques
Desired
-Project management skills
Soft Skills
-Teamwork
-Initiative
-Interpersonal Skills
-Effective communication (verbal and with digital media)
-Experience interacting directly with dealers or external customers.
-Exhibited the ability to work on increasingly more complex assignments
-Has demonstrated the ability to effectively communicate concepts using data visualization
Required Skills : Python programming, practical applications of machine learning techniques such as Clustering, Logistic Regression, CART, Random Forests, SVM or Neural Networks.Basic Qualification :
Python programming, practical applications of machine learning techniques such as Clustering, Logistic Regression, CART, Random Forests, SVM or Neural Networks.Additional Skills :
Python programming, practical applications of machine learning techniques such as Clustering, Logistic Regression, CART, Random Forests, SVM or Neural Networks.Background Check :YesNotes :Selling points for candidate :Project Verification Info :Candidate must be your W2 Employee :YesExclusive to Apex :NoFace to face interview required :NoCandidate must be local :YesCandidate must be authorized to work without sponsorship :YesInterview times set : :NoType of project :Development/EngineeringMaster Job Title :Data ScientistBranch Code :Bloomington