Senior Data Science Director job in New York City, NY| Recruit Arrow
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Senior Data Science Director
Location : New York, New York City
Refer job # SEZX340160
 
Job Responsibilities and Requirements: Role Summary: As a Data Scientist Leader, you ll be part of a team that s leading the next wave of disruption at a whole new scale. You'll use the latest techniques in information retrieval and evaluation to build sophisticated models & data products to power business decision making.On any given day you ll:Lead a team of data scientists to explore & evaluate the landscape of data, tools & cutting-edge techniques to build predictive models (including machine learning).Develop rich insights and data visualizations to communicate ideas to customers or company leaders. Partner with data engineers to validate & deploy solutions in an efficient, sustainable & usable manner.Build, motivate & mentor a team of data scientists to grow their skills and careers.Build relationships both within and the external data science community to continue to attract & develop top-tier talent. The Ideal Candidate will be: A Technical Expert: You have hands-on experience developing data science solutions, from concept to production, and selecting the right tool for the job at hand. You understand modern cloud computing. You have experience prototyping and implementing data science solutions in an enterprise. You know R, Scala, and Python.An Innovator: You continually research and evaluate emerging technologies. You stay current on published state-of-the-art algorithms and models. You obsess over model risk and governance. Fundamentally, you disrupt & deliver a better way. A Product Leader: You develop & implement data products that the business (as your customer) can seamlessly integrate into decision making. A Problem Solver: You can analyze customer needs and drive towards impactful business outcomes. A People Leader: You lead by example. You are a role model for your team.A Communicator: You communicate complex ideas clearly. Your team knows their priorities as does executive leadership. Basic Qualifications: Bachelors Degree plus 8 years of experience in data analytics, or Master s Degree plus 6 years of experience in data analytics, or PhD plus 4 years of experience in data analyticsAt least 5 years experience in open source programming languages for large scale data analysis and modeling. At least 5 years experience developing & implementing commercial data science solutions leveraging one or more of the following: operations research, natural language processing, machine learning, deep learning, and/or Bayesian methods. Preferred Qualifications: Masters Degree in a STEM Major (Science, Technology, Engineering, or Math) plus 6 years of experience in data analytics, or a PhD in a STEM Major plus 4 years of experience in data analytics At least 1 year experience working with AWS, Azure, or similar cloud platform At least 5 years experience developing commercial solutions in Python, Scala, or RAt least 5 years 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. At least 3 years of experience mentoring junior data scientists and providing technical governance and oversight will consider sponsoring a new qualified applicant for employment authorization for this position.
 
 
 
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