Data Science Manager
| Company | PatientPoint |
|---|---|
| Location | Cincinnati, OH, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior |
Requirements
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or a related intense quantitative field
- 5+ years of experience in advanced analytics, data science roles
- 2+ years managing a team
- Proficiency in programming languages such as Python, R, or SAS
- Strong knowledge of statistical analysis, machine learning, and data visualization techniques
- Experience with cloud computing environments (e.g., Snowflake, GCP, AWS, Azure)
- Expertise with database systems and SQL for querying large datasets
Responsibilities
- Develop and implement the advanced analytics strategy to support organizational goals and strategic initiatives
- Partner with cross-functional teams (e.g., Sales, Pricing, Customer Experience, Finance, etc.) to identify analytics opportunities and translate business needs into actionable projects.
- Stay informed of emerging analytics trends, tools, and technologies to keep the organization at the forefront of innovation
- Lead, mentor, and manage a team of data scientists and machine learning engineers, fostering a culture of continuous learning, innovation, and improvement
- Oversee resource allocation, prioritization, and project delivery to ensure high-quality outcomes within deadlines
- Support team members in developing their technical and professional skills
- Ensure the implementation of best practices in data science, including data cleaning, feature engineering, and model evaluation with a focus on creating scalable, automated solutions
- Oversee design, deployment and management of analytics platforms (i.e. Snowflake, HEX, Looker)
- Guide the team in using analytics tools such as Python and SQL, and visualization tools like Looker
- Manage and balance workload across the team members and support projects as needed
- Communicate complex analytical concepts and results to non-technical stakeholders in a clear and actionable manner
- Drive measurable business impact by identifying and implementing analytics solutions that enhance decision-making and efficiency
- Establish and track objectives and key results (OKRs) to evaluate the effectiveness of data science initiatives
Preferred Qualifications
- Master’s or Ph.D. Degree Preferred