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Senior Data Scientist
| Company | Aspen Dental |
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| Location | Chicago, IL, USA |
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| Salary | $125000 – $145000 |
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| Type | Full-Time |
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| Degrees | Bachelor’s |
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| Experience Level | Senior |
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Requirements
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field required. Master’s degree in related field a plus.
- 3-5 years of experience in business analytics, statistical modeling, and data science is required.
- High proficiency in SQL (Big Query preferred) and Python, and experience with data visualization tools like Tableau required.
- Strong experience with machine learning frameworks (e.g. scikit-learn) and cloud platforms (preferably Google)
- Intermediate understanding of data engineering concepts and tools required.
- Familiarity with GitHub, DevOps and CI/CD concepts required.
- Detail-oriented, analytical ability and strong oral/written communication skills are also required.
- Must be able to work well with others in a time-sensitive team environment with a flexible attitude focused on delivering outcomes.
- Must have the ability to independently structure/resolve problems by incorporating/balancing relevant factors and grasping mathematical concepts related to revenue management and pricing.
- Ability to meet deadlines, service level commitments, and prioritize multiple tasks independently.
Responsibilities
- Responsible for analyzing large datasets to identify trends, patterns, and insights that can drive business decisions.
- Design, develop and implement predictive models and machine learning algorithms to solve business problems.
- Conduct data preprocessing, feature engineering, and data analysis to derive actionable insights
- Stay up to date with latest developments in machine learning, implementing best practices to ensure robust and efficient models
- Conduct experiments, tune hyperparameters, and apply advanced techniques to improve model accuracy and efficiency
- Create metrics and alerts to continuously evaluate the performance of new and existing models to identify improvement opportunities dynamically
- Conduct ad-hoc analyses as needed to support various business initiatives.
- Create business intelligence, dashboards, visualizations, and/or other advanced analytics reports to adequately communicate findings to stakeholders
Preferred Qualifications
- Experience in the Heath Care Industry or in Revenue Management a plus
