Data Science Manager

Summary

Join PatientPoint's dynamic team and contribute to improving health outcomes nationwide. As a Data Science Manager, you will lead a team of data scientists and machine learning engineers, delivering data-driven insights for better business decisions. This hands-on role demands strategic thinking, technical expertise, and strong leadership to leverage advanced analytics and drive innovation. You will develop and implement advanced analytics strategies, partner with cross-functional teams, and stay updated on industry trends. Furthermore, you will mentor and manage your team, ensuring high-quality project delivery and fostering a culture of continuous learning. Finally, you will communicate complex analytical findings to non-technical stakeholders, driving measurable business impact.

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 data focused 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
• Proven ability to lead and inspire teams in a fast-paced environment
• Strong project management skills, with a track record of delivering complex projects on time and within scope
• Exceptional communication and presentation skills, with the ability to influence stakeholders at all levels
• Strong ability to translate complex analytical concepts and robust data storytelling skills to communicate insights to various audiences, including non-technical business partners

Benefits

• Competitive compensation
• Flexible time off to recharge
• Hybrid work options
• Mental and emotional wellness resources
• A 401K plan