Data Scientist

Data Scientist

[Orlando, FL, 32808] |   2020-10-08 12:00:41

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Job Code : HAYS001

Position: Data Scientist

Duration: until Dec 2021

Job Location: Orlando, FL 32819 - will be remote until they determine when they're returning to the office but would like those to return when they do.

Interview process: 2 step phone/video to hire

This candidate will be focusing on consumer to customer segmentation, any one from hotel / retail / restaurant type of environment would be ideal but anyone who is focused on customer acquisition analytics is what they’re looking for.

CIO is reviewing these profiles and our Hays consultant will be conducting the interview process

Daily Responsibilities:

o          Unlock hidden value by connecting new and existing data assets and by creating new analytics products in close collaboration with cross-functional internal teams

o          Propose analytics strategies and solutions that challenge and expand the thinking of key internal business partners

o          Communicating with technical and business audiences, demonstrating the ability to cover complex topics in simple terms, adapting communication technical depth to the audience

o          Frame business problems into actionable data science projects, which will, in turn, create business values for guests, customers, owners and colleagues

o          Work collaboratively, as well as handling workflows in accordance with project timelines is required

o          Develop and deploy high-performance AI/ML models as a leader of the core design and development, leveraging supervised, semi-supervised, unsupervised, and/or reinforcement learning

o          Provide guidance and mentoring to the team, comprised of data engineering and data analysts

o          MSc or PhD degree in machine learning, or computer science/statistics/physics with strong machine learning component

o          Strong experience in predictive analytics, machine learning, and optimization

o          Expertise in machine learning: framing business problems as machine learning problems, building datasets, selecting and engineering features, building and optimizing algorithms

o          Experience with cloud computing solutions, Google Cloud Platform and/or AWS

o          Experience working together with data engineers to deploy data products to production environments

o          Knowledge and experience in SQL, NoSQL databases, Python, Flask, R, Java, C++/C#

o          Experience using a variety of scientific computing, modeling and toolkits, such as GCP AutoML, Open Source R, Knime, Stata, Spark ML, Python's data science stack, and deep learning

o          Experience working in a fast paced commercial environment and excellent organizational skills - this is a fast-moving operation in a high-growth phase, so it's critical to be able to keep multiple balls in the air

o          Experience in customer segmentation, discerning buying habits of new prospects and existing customer/members

o          Strong business/commercial sense to combine with analytics to help drive recommendations; ability to demonstrate an understanding of the commercial impact of their activities

o          Working knowledge of statistics: hypothesis testing, confidence intervals and A/B tests.