Description

　　Our client is a leader in the distribution of pharmaceutical and medical products industry. This wholesale health-supply distributor is one of three such companies in the top 20 of the Fortune 500. This specific hiring manager is looking to add an Sr. Data Scientist Lead to support their Inventory Management Program. Personality, understanding the importance of collaboration, and a passion to develop IT skills outside of the work environment will be the candidate that gets this job. Please apply if you meet the qualifications listed below. We look forward to reviewing your application. Thank you!

　　Responsibilities

　　Research, evaluate, and implement artificial intelligence algorithms. Ensure projects are delivered in-line with reference architecture, road map and to the defined standards and best practices. Troubleshoot technical issues within ML platforms.

　　Diagnose business needs, analyze business processes, data flows, IT / technical artifacts and extract understanding of how the system or business process works as input for model development.

　　Identify high-value ML business opportunities and work with Business and IT stakeholders to realize business benefit.

　　Use deep subject matter/ functional expertise, influence and process skills to help internal/external customers and stakeholders identify and meet their high priority needs while considering cultural and diversity implications.

　　Lead machine learning solutions and present the findings to management and/or business stakeholders.

　　Core Capabilities:

　　Possess deep functional and technical understanding of the Machine Learning technologies (Google’s Cloud Platform) and leverage it across Organization’s large, complex and diverse landscape.

　　Business acumen (strong understanding of how business operates, and how to harness data and analytics to meet business needs)

　　Ability to develop and deploy advanced analytical models and algorithms that drive profitable growth, predictable patterns and areas of opportunity.

　　Maintain a solid understanding of up and downstream impacts implementing solutions using ML technologies.

　　Engage early in project efforts in order to analyze current solutions, provide solution options and recommendations, understand business process impact, provide accurate estimates.

　　Aide adoption of ML solutions within the business by conducting training, coordinating demos.

　　Requirements

　　Skills:

　　Qualifications

　　Required:

　　7+ years in the distribution or Healthcare industry and deep knowledge of their business practices.

　　3+ years of proven Machine Learning experience and involvement in packaged platform delivery and management.

　　Strong working knowledge of a variety of machine learning techniques (Regression, Clustering, Decision Tree, Probability Networks, Neural Networks, Bayesian models etc.)

　　Experience with Machine Learning and related technologies such as Python, TensorFlow, Torch, Amazon SageMaker, Jupiter Notebooks.

　　Understanding of cloud data engineering and integration concepts.

　　Technology Doesn't Change the World, People Do.®

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