Python Data Scientist are as follows:

• The objective of this role is to use statistical computer languages (Python) to manipulate data and draw insights from large data sets.
• Develop predictive analytics solution using ML algorithms such as regression, classification and random forest.
• Build concept and category model using text mining algorithms.
• Conduct Peer review and offer recommendations on other people’s code
• Work with back/front-end developer to create sustaining pipelines for web applications
• Document the requirement to development process
• Skillset required for this role is Strong communication and interpersonal skills and ability to multi-task, prioritize and manage projects independently in an environment with competing priorities.
• Working closely with technical teams, and other organizations to understand the product and data
• Finding and interpreting large data sets to help predict costs
• Learning and understanding data resources and knowing when, how, and which to use and which not to use.
• Identifying, analyzing, and solve systematic problems, while maintaining focus on the bigger picture
• Working together with the team to ensure data analysis and developed algorithms can be appropriately applied for negotiation support
• Ensuring data collected, analyzed and presented result in actionable insights for negotiation support
• Engaging and participating in negotiation support, to bolster the use of data analytics within supplier negotiations
• Understanding high-level business objectives and continually align those objectives to meet the needs of the business.
• Able to multi-task, prioritize and project manage independently in an environment with competing priorities
• Experience working in a technical, operational or manufacturing environment with the ability to translate that knowledge into financial opportunities
• Diverse functional experience, with a desire to use data in negotiations
• Excellent communication skills and a proven history of excelling in a collaborative environment as a key team player.