Data Scientist

Caserta is a best-in-class Data Analytics consulting and implementation firm known for its bold solutions to the toughest data challenges. Leading organizations including world-class Financial Services, Healthcare, Media, Ad-tech and Universities, turn to Caserta for the right answer to effect change and realize business goals. We specialize in transformative strategic consulting in the areas of business intelligence, data intelligence and artificial intelligence. Renowned for our advanced technical implementation of data architecture, data engineering and data science, Caserta provides meticulous customer service and is dedicated to solving our clients’ toughest data challenges with the right answers.

Description:
The Data Scientist role is a key position responsible for the build out and continued evolution of cutting edge data management platforms enabling Advanced Analytical capabilities. In this role you will lead the design, build and operation of reliable and scalable Data Science solutions including: Use Case ideation, Algorithm Design & Development, Advanced Statistical models, Recommendation engines, etc.

Principal Duties and Essential Responsibilities:

• Experience leading efforts to run and build an organization/Data science practice
• Extensive prior experience and ability to serve as a subject matter expert in Data science / Analytics
• People development and talent management skills, including the ability to support practice members
• Consulting skills in communication, strategic direction, negotiating, decision making and meeting
management
• Strong understanding of market trends and technologies. (Solid understanding of using data with
advanced analytics, BI, Data warehouse solutions or Big Data analytics to improve business performance)
• Experience working with AWS, GCP, Azure, or similar cloud platform
• Experience developing commercial solutions in Python, Scala, or R
• Experience developing commercial data science solutions leveraging one or more of the following:
operations research, natural language processing, machine learning, deep learning, video/image analysis, or time-series analysis.
• Experience with Structured and UnStructured Data
• Experience building recommendation engines - Multi-Algorithm/Multi-Model

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