Senior Data Scientist - Healthcare - Fraud

Senior Data Scientist

Location: Fully Remote (Boston, MA)

Overview:

Alivia Analytics is seeking a technically adept Data Scientist with a strong foundation in SQL, Python, and machine learning to join our rapidly expanding team focused on combating healthcare fraud. This role demands an individual with a profound ability to manipulate and analyze large datasets, develop sophisticated fraud detection models, and leverage advanced analytics techniques to transform healthcare business practices. The ideal candidate will possess in-depth technical expertise to support our mission of ensuring healthcare claims are accurately processed, thus generating savings that can directly benefit patient services. As a pivotal team member, you will not only be involved in the technical development of fraud models and predictive analytics but also play a crucial role in articulating our technological innovations to both users and leadership. This position offers an unparalleled opportunity to contribute to the development of groundbreaking technology aimed at bettering global healthcare outcomes.

Key Areas of Responsibility

• Utilize advanced data management techniques to expedite the onboarding of new clients.

• Design and implement sophisticated models to detect, analyze, and mitigate healthcare fraud, employing an extensive range of SQL queries and machine learning algorithms.

• Dive deep into healthcare claim fraud scenarios, employing our comprehensive analytics toolkit to help clients identify and tackle significant volumes of fraudulent activities.

• Articulate complex technical concepts with clarity to both technical experts and business stakeholders.

• Execute intricate analytics projects, making complex data comprehensible and actionable for business users.

• Share technical knowledge and insights, fostering a culture of learning and collaboration both within the team and with external partners.

Key Skills & Attributes

• Strong proficiency in SQL, including the ability to craft complex queries.

• Expertise in Python, with solid experience in utilizing frameworks like sklearn and pandas for data science projects.

• Demonstrated ability to work effectively in collaborative settings.

• High degree of motivation and autonomy, coupled with an unwavering commitment to delivering quality outcomes.

• An inherent curiosity and drive to continuously refine and enhance technical processes and methodologies.

• Exceptional problem-solving skills, with a readiness to take on design and development challenges.

• A clear understanding of, and adherence to, security and privacy standards relevant to data science and analytics.

Basic Qualifications

• MS in a technical field such as computer science, statistics, or a similar quantitative discipline. Relevant professional experience may substitute for education.

• Proven expertise in data science, evidenced by a track record of impactful projects.

• Exceptional skills in SQL and Python, with significant experience applying these tools in data analytics or data science contexts.

• Strong communication abilities, with proficiency in conveying technical concepts to diverse audiences.

• Must be a legal resident or US citizen, with residency in the United States and the capability to work remotely.

Preferred Qualifications

• Familiarity with healthcare, insurance, and medical terminology is advantageous, particularly if accompanied by practical experience with industry-specific data.

• Previous roles that involved the audit or investigation of healthcare claims are highly valued.

• Experience managing and analyzing large datasets is preferred.