Senior Manager, Data Science
Nashville, Tennessee
Eargo Inc.
Hear life to the fullest with Eargo's virtually invisible, comfortable, and rechargeable hearing aids.
We’re Eargo and we’re on a mission to disrupt, innovate, and reimage the hearing industry. If you believe fun at work is non-negotiable and want to experience the joy of being a part of helping someone hear life to the fullest again— expect tears of joy— then this is the place for you! Our passionate, fast-paced, energetic team is driven by the belief that people shouldn’t feel like they need a hearing aid—they should want one. So, if working with some of the coolest, most talented folks around and making an impact every single day sounds like a dream gig, then we want to hear from you!
Eargo, Inc. is recruiting for our Nashville, TN office: Senior Manager, Data ScienceJob code #42297 must be referenced when applying to this position.
Eargo, Inc. is recruiting for our Nashville, TN office: Senior Manager, Data ScienceJob code #42297 must be referenced when applying to this position.
Responsibilities and Job Duties
- Gather requirements and generate ideas for the application of quantitative analysis, data science, artificial intelligence approaches.
- Data analysis, data sources searches, data cleanup and transformation, data point selection, data training set selection/un-biasing, data testing selection.
- Model development including data relevance and algorithm selection and testing. Solution development, software development.
- Vendor selection/interaction and development of understanding about 3rd party solutions in the relevant space.
- Internal customer interaction during the development, testing, deployment, and post-deployment phases.
- Develop advanced quantitative modules using a variety of programs/software to support predictive assessments.
- Communicate analytics model behavior/results to business.
- Carry out technical risk analysis and reliability assessments. Perform complex analyses, including optimization, text analytics, machine learning, social-science modeling, and statistical analysis, parametric and non-parametric statistical models, and techniques.
- Provide recommendations for plans, programs, strategies, policies, and budgets.
- Design algorithms that require different models/methods to be used together.
- Drive data quality throughout the organization.
- Apply strong understanding of data science techniques and libraries to business problems.
- Direct data science teams to complete all project deliverables.
- Telecommuting allowed.
Education and Experience Required
- Master’s degree or foreign equivalent in Data Science, Business Analytics, Computer Science, Applied Math, Statistics or related field and 48 months of experience.
Tags: Business Analytics Computer Science Data analysis Data quality Machine Learning Mathematics ML models Statistics Testing
Region:
North America
Country:
United States
Job stats:
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Category:
Leadership Jobs
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