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Data Science Consultant II - Supply Chain Operations Analytics

Job in Scottsdale, Maricopa County, Arizona, 85261, USA
Listing for: JDA Software
Full Time position
Listed on 2026-01-09
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Data Science Manager, Data Engineer
Job Description & How to Apply Below
Data Science Consultant II - Supply Chain Operations Analytics page is loaded## Data Science Consultant II - Supply Chain Operations Analytics locations:
Bangalore time type:
Full time posted on:
Posted Yesterday job requisition :
254160
*
* What you’ll do:

*** Data Analysis & Modeling:
Analyze large, complex data sets related to demand forecasting, supply
* planning to uncover actionable insights.
* Machine Learning:
Apply statistical and machine learning techniques to forecast demand which would
* include* Data ingestion, data visualization and insights, verifying the integrity of data used for analysis
* Feature engineering, configuring forecasting models
* Fine tune forecasting model
* Present results in a clear manner
* Supply Chain Optimization:
Implement optimization algorithms to improve supply chain efficiency, reduce
* costs, and enhance service levels.
* Consulting & Advisory:
Serve as a subject matter expert (SME) for supply chain analytics, advising
* stakeholders on best practices, tools, and strategies for effective supply chain management.
* Process Improvement:
Identify inefficiencies within the supply chain and recommend data-driven
* strategies for continuous improvement.
** What we are looking for:
*** Educational Background:
Bachelor’s or Master’s degree in Data Science, Computer Science, Industrial
* Engineering, Operations Research, Supply Chain Management, or a related field.

* Experience:

5-12 years of experience in data science or Supply Chain Operations Analytics, or worked on
* forecasting projects leveraging statistical/ML models; experience with data visualization tools
* Technical

Skills:

Proficiency in data science tools and programming languages such as Python, R, SQL, and
* experience with supply chain management platforms/processes. Good, applied statistics skills, such as
* distributions, statistical testing, regression, etc
* Machine Learning:
Hands-on experience with machine learning techniques/algorithms (e.g., regression,
* classification, clustering) and optimization models.
* Industry Knowledge:
Familiarity with supply chain processes such as demand forecasting, inventory
* management, procurement, logistics, and distribution.
* Analytical Thinking:
Strong problem-solving skills with the ability to analyze complex data sets and
* translate insights into actionable recommendations.
* Personal competencies
* Ability to work independently and as part of a team in a consulting environment.
* Attention to detail, with the ability to manage large data sets and complex analysis.
* Communication:
Excellent verbal and written communication skills to present findings clearly to non-technical stakeholders.
** Our Values
** All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
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