Job Description

Help the business define their business problem, create solutions to address it, plan and execute the implementation in data science and analytics field.  Blend of applied math, data science and engineering skills, proven track record of solving critical business problems through data science and strong analytical/quantitative and engineering skills.  Work with business stakeholders to define business requirements including KPI and acceptance criteria.  Lead research initiatives into state-of-the-art methodologies that will enhance current models and power future personalized models.  Collaborate with data engineers, ML engineers and Data Scientists in building real-time and batch machine learning pipelines that include data preprocessing, feature engineering, model training, model validation, serving, and evaluating results of A/B test.  Assess departmental staffing needs and participate in resourcing efforts.  Promote efficacy through monitoring, coaching & motivating subordinates, and intervention.  Ensure staff development is in line with strategic organizational and departmental objectives. 

Employer will accept a Master’s degree in Computer Science, Engineering, Data Science, or related field and 2 years of experience in the job offered or in a Data Scientist- or research-related occupation.

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