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Business Data Scientist - SupplyChain & Operations
Negotiable Salary
Indeed
Full-time
Onsite
No experience limit
No degree limit
Suipacha 1551, S2002 Rosario, Santa Fe, Argentina
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Description

**Why?** Because we want you to have the opportunity to work on projects that deeply transform how companies operate. From inventory planning and optimization to designing intelligent logistics networks, the focus is on applying data science, machine learning, and simulation to solve complex problems and generate tangible value. * If you have experience managing supply chain areas and a passion for data science, *join our great Team!* **What challenges await you?** * A Data Science Consultant focused on Supply Chain \& Operations Analytics is a professional with functional supply chain knowledge, analytical thinking, and familiarity with analytical methods used as tools to solve various business use cases. * The area covers E2E: procurement, planning, production, warehousing, transportation, and logistics, so it's necessary for the candidate to understand foundational supply chain concepts to interact effectively with different types of client stakeholders. * This is a curious profile that seeks root causes of supply chain issues and uses or proposes analytical tools to address them through various techniques: optimization, machine learning, segmentation, simulation, etc. **What kind of profile do we envision?** * Professionals with degrees in Industrial Engineering, Economics, Business Administration, or related fields. * \+2 years of professional experience in any supply chain area: procurement, planning, production, warehousing, transportation, and logistics. * Advanced English proficiency. * Data-oriented mindset. * Intermediate proficiency in SQL and/or Python. * Intermediate skills in data visualization tools such as Tableau and/or PowerBI. * Experience with data exploration and visualization libraries such as Matplotlib and Seaborn. * Intermediate understanding of the full model development process from start to finish: problem understanding, conceptual modeling, data modeling, data processing and cleaning, model/analysis coding, and validation. **A super** ***nice to have*** **would be:** * Master's degrees in Data Science, Analytics, or related fields. * Leadership and coordination of work teams. * Experience with cloud environments: AWS, GCP, and/or Azure. * Development and implementation of analytical solutions. **Want to learn more? Here are some of our great benefits!** Pedidos Ya ‍ ️ Free Swiss Medical health insurance for you and your immediate family Connectivity reimbursement 100% subsidized gym membership Flex vacations Flexible working hours Subsidized certifications Free birthday day off Bonuses Accenture Days Flexible benefits package ‍‍‍ Extended Parental Leave Childcare financial assistance and many more ➕! **AT ACCENTURE, EQUALITY DRIVES INNOVATION** Did you know Accenture was named the most diverse and inclusive company in the world? We believe the workforce of the future is an equitable force for everyone. *All employment-related decisions will be made without distinction, exclusion, or preference based on race, color, gender, sexual orientation, disability, age, religion, political or union opinions, nationality, socioeconomic origin, or any other factor protected by applicable legislation, which have the effect of nullifying or impairing equality of opportunity or treatment among candidates.* \#LI\-LATAM

Source:  indeed View original post
Sofía González
Indeed · HR

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