
Data Analytics Specialist
2 weeks ago
As a Data Scientist, you will be responsible for leveraging statistical computer languages to manipulate data and draw insights from large datasets.
- Develop predictive analytics solutions using machine learning algorithms such as regression, classification, and random forest.
- Build concept and category models using text mining algorithms.
- Conduct peer reviews and offer recommendations on other people's code.
- Work with back-end and front-end developers to create sustaining pipelines for web applications.
- Document the requirements to the development process.
The ideal candidate will have strong communication and interpersonal skills, with the ability to multi-task, prioritize, and manage projects independently in an environment with competing priorities.
Key Responsibilities:- Working closely with technical teams and other organizations to understand the product and data.
- Finding and interpreting large datasets to help predict costs.
- Learning and understanding data resources and knowing when, how, and which to use.
- Identifying, analyzing, and solving systematic problems while maintaining focus on the bigger picture.
- 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 aligning those objectives to meet the needs of the business.
A diverse functional experience with a desire to use data in negotiations is preferred.
Requirements:- Strong communication and interpersonal skills.
- Ability to multi-task, prioritize, and project manage independently in an environment with competing priorities.
- Excellent communication skills and a proven history of excelling in a collaborative environment as a key team player.
Benefits:
A collaborative work environment with opportunities for growth and professional development. The chance to work on challenging projects and contribute to the success of the organization.
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