[Hiring] Senior Data Scientist @Our client

Role Description

• Develop data science solutions for forecasting Accounts Receivable and/or Account Payable, with a strong emphasis on accuracy and integrity.
• Work with SageMaker to leverage its capabilities for model development.
• Solve regression and time-series-related problem statements using various advanced analytics methodologies, including:
  • Linear Regression
  • Machine Learning
  • Deep Learning
  • Clustering
  • Classification
  • Segmentation
• Perform model development and validation to improve model accuracy.
• Cleanse, filter, and refactor complex data from different sources, and analyze it to identify its potential for generating high-accuracy models.
• Utilize Python for data analysis and modeling.
• Apply different machine learning algorithms to solve complex business problems.
• Conduct statistical analyses and advanced data management using Python.
• Create data visualizations to communicate insights to non-technical audiences.

Qualifications

• 5+ years of experience in developing and delivering data science solutions.
• Experience in forecasting Account Receivable and/or Account Payable is highly beneficial.
• Strong knowledge of regression and time-series problem-solving using advanced analytics methodologies.
• Expertise in Python for data analysis and modeling.
• Experience in statistical analysis and programming with Python.
• Ability to create data visualizations for non-technical audiences.
• English language proficiency at an Upper-Intermediate level (B2) or higher.

Requirements

• Experience with data science use cases within business finance, production, supply, or commercial space.
• Ability to explain complex data and analysis in a concise and understandable manner.
• Familiarity with corporate financial data.
• Understanding of SAP ECCs.
• Experience with common analytics technologies such as:
  • SAP Analytics Cloud
  • Qlik
  • Tableau
  • Sage Maker
  • Azure ML
  • Data Bricks
  • KNIME
  • Alteryx
  • SAP BW
  • Redshift
  • S3
  • SQL
  • and others
• Proficiency in Sage Maker.