Job Description

Introduction
As a Data Scientist at IBM, you will help transform our clients data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether its investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.Your Role and Responsibilities
IBM Cloud Economics are looking for a Data Scientist to join our team and help us leverage data to optimize the business outcomes at IBM Cloud. You will be responsible for designing, developing, and maintaining data pipelines, databases, and analytics solutions that support the planning, forecasting, and reporting of our third-party expenses, supply chain performance and identifying opportunities to improve the profitability of our Cloud services. You will also be responsible for monitoring and managing global inventories, as well as excess and obsolescence, and ensuring timely and cost-effective delivery of materials and products. You will also be responsible for teaching non-technical team members capabilities to self service automation and reporting.
To be successful as a Data Scientist, you should have a bachelors degree, and more importantly, experience with data engineering tools, frameworks, and languages, such as SQL, Python, etc. You should also have experience with ERP systems (operational and financial), reporting tools, automation, and ETL processes. Experience with IBM Cognos and/or Apptio would be an advantage. You should also have strong analytical, financial accounting/business acumen, communication, and problem-solving skills, as well as the ability to work in a fast-paced and dynamic environment.Responsibilities:

• Provide feedback on design, develop, and maintenance of data pipelines, databases, and analytics solutions that support supply chain operations.
• Collect, transform, and integrate data from various sources, such as ERP systems, external APIs, and web scraping
• Ensure data quality, reliability, and security throughout the data lifecycle
• Build and deploy data models and tools to simulate and optimize supply chain scenarios, as well as help deploy financial models
• Create and present automated reports and dashboards on supply chain performance, metrics, and KPIs
• Identify and implement opportunities for improving data efficiency, scalability, and usability
• Monitor and manage inventory levels and availability across our supply chain network, as well as, monitor and mitigate excess and obsolescence
• Provide feedback on the ability to forecast sales and production levels based on historical data, market trends, and customer demand
• Identify and implement opportunities for improving efficiency, reducing costs, and increasing customer satisfaction

• Bachelors degree in finance, accounting, computer science, engineering, data science, or a related field
• 5+ years of experience in data engineering, data analysis, planning, logistics, accounting, finance or a similar role
• Proficient in data scientist tools, frameworks, and languages, such as SQL and Python
• Proficient in ERP systems (operational and financial), reporting tools, automation, and ETL processes
• Proficiency in IBM Cognos and/Apptio would be an advantage
• Excellent analytical, communication, and problem-solving skills
• Ability to work independently and collaboratively

• None

IBM