Senior Data Scientist/ML Engineer
Pay Transparency Statement: The compensation philosophy reflects the Company’s reasonable expectation at the time of posting. We consider a number of factors when making individual compensation decisions including, but not limited to, skill sets, experience and training, and other business needs. This role may also be eligible to participate in a discretionary incentive program, subject to the rule governing the program. Position Summary: The Senior Data Scientist has a solid understanding of advanced analytics and will be responsible for refining existing statistical/machine learning models and developing new ones to support business. Will partner with direct team members as well as cross-functional partners and decision makers. This person’s primary tasks will be to develop, refine, deploy, and productionize impactful data science projects for business users. Additionally, should provide technical guidance for the team members, when necessary. Position Responsibilities may include, but not limited to:
- Identify best or most applicable analytical techniques for a given business problem
- Develop and deploy statistical and machine learning models to address business problems using Python and others
- Maintain and refine existing models and related processes
- Utilize statistical or time-series models to make predictions on future outcomes in multiple scenarios
- Implement models and create processes to monitor their performance, including input data integrity
- Employ data visualization tools and codes where appropriate via Power BI and others
- Partner with IT / BI / Data teams to ensure data used for modeling accurately reflects business reality
- Effectively communicate model approaches, outputs, and findings to technical and non-technical audiences
- Document projects including business objectives, data gathering/processing, approaches and algorithms, and detailed set of results and analytical metrics
- Ensure modeling processes always conform to IT security standards
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