DescriptionJob 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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