Manager of Data Science - Lyric

Lyric, formerly ClaimsXten, is a leading healthcare technology company, committed to simplifying the business of care. Over 30 years of experience, dedicated teams, and top technology help deliver more than $14 billion of annual savings to our many loyal and valued customers-including 9 of the top 10 payers across the country. Lyric's solutions leverage the power of machine learning, AI, and predictive analytics to empower health plan payers with pathways to increased accuracy and efficiency, while maximizing value and savings. Lyric's strong relationships as a trusted ally to customers resulted in recognition from KLAS as "true partner" and "excellent value for investment," with a top score for overall customer satisfaction and A+ likelihood to recommend in their October 2023 Payment Integrity and Accuracy Report. Discover more at Lyric.ai . The Data Science Manager is responsible for spearheading the development and execution of analytics and advanced machine learning strategies to develop editing content and cost of care insights. **Responsibilities:** + Lead and expand a high-performing team of data scientists. Foster a culture of innovation, continuous learning, and accountability. + Drive analytics initiatives to support the sizing and savings estimation for primary and secondary edits and translating data into actionable insights using identified, de-identified customer data, and de-identified benchmark data sets. + Oversee the creation and management of automated jobs and processes that ensure data quality and integrity, promptly addressing data issues. + Utilize machine learning techniques to proactively identify opportunities for new editing content, enhancing the company's service offerings. + Architect and implement a modern machine learning stack within Amazon Cloud services, ensuring scalability and efficiency. + Contribute to the strategy to transition from legacy data systems and processes to modern data, analytics, and AI/ML platforms optimizing for data management, curation, and accessibility. + Deliver exceptional service to internal customers, ensuring their analytical needs are met with precision and care. + Cultivate machine learning talent within the organization through targeted training programs and strategic hiring. + Assist in strategically growing the data science team in alignment with the company's objectives and market demands. + Deliver measurable improvements in the company's data analytics capabilities and contribute significantly to its strategic goals. **Required Qualifications:** + 5+ years technical expertise in machine learning, data analytics, and cloud services - (Snowflake preferred, but must have Database Mgmt) + 5+ years of SQL and/or Python coding experience + 3+ years working in Healthcare industry + 2+ years of experience in leading teams in analytics, data science or machine learning in the healthcare industry **Preferred Qualifications:** + Demonstrated ability to translate complex data into strategic insights and actionable plans. + Excellent communication and interpersonal skills, with a track record of successful cross-functional collaboration. + Commitment to fostering a diverse and inclusive work environment. + Demonstrated hands-on approach to technology and team management, with a focus on delivering results and driving innovation ***The US base salary range for this full-time position is: $143,327.23 - $214,990.85 The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate's relevant experience, education, and work location. Please note that the compensation details listed in US role postings reflect the base salary only, and does not reflect the value of the total rewards compensation. *** Lyric is an Equal Opportunity Employer that drives superior business results by understanding and leveraging diversity. We strive to maximize the productivity and performance of our employees by fostering a winning team spirit and high personal accountability. Everyone is encouraged to respond including women, people of color, veterans, people with disabilities, all lifestyles, beliefs and generational diversity.