Data Scientist

Description

Job Description

We are seeking a highly skilled and motivated Data Scientist to join our Health and Human Services Consulting team. The ideal candidate will possess advanced data science skills, have experience with healthcare claims data and social determinants of health data sets, and be adept at managing projects and teams. This role requires a blend of technical expertise, project management, and client communication skills.


Key Responsibilities
• Utilize advanced data science techniques to analyze and interpret complex datasets, including healthcare claims data and social determinants of health data.
• Develop and implement data models, machine learning algorithms, and statistical analyses to support client needs and drive data-driven decision-making.
• Create comprehensive reports and presentations to communicate findings, insights, and recommendations to clients and internal stakeholders effectively.
• Independently manage and prioritize multiple projects, ensuring timely delivery and adherence to high-quality standards.
• Lead, mentor, and develop a team of data analysts and junior data scientists, fostering a collaborative and innovative work environment.
• Engage with clients, including state health and human service agencies, to understand their needs, provide expert advice, and maintain strong relationships.
• Ensure compliance with healthcare policies, regulations, and data privacy standards in all data analysis and modeling activities.
• Participate in business development activities, including responding to RFPs, authoring white papers, and delivering industry presentations.
• Stay current with emerging data science trends, tools, and technologies, integrating them into practice to enhance service offerings.
• Oversee data governance and maintain data quality standards, ensuring the integrity and accuracy of all data used and produced.

Requirements

Qualifications

• Advanced degree (Master's or Ph.D.) in Data Science, Statistics, Computer Science, Public Health, or a related field.

• Minimum of 5 years of proven experience in data science, with a strong portfolio of projects demonstrating expertise in:

• Machine learning and predictive modeling

• Statistical analysis and hypothesis testing

• Data visualization and reporting tools (e.g., Tableau, Power BI)

• Programming languages such as Python, R, SQL

• Big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure)

• Experience working with healthcare claims data and social determinants of health data sets.

• Strong project management skills, with the ability to manage and prioritize multiple projects simultaneously.

• Proven leadership and team management experience, with the ability to lead, mentor, and develop a team of data analysts.

• Excellent written and verbal communication skills, capable of conveying complex technical information to non-technical audiences.

• In-depth knowledge of healthcare regulations and data privacy standards, ensuring compliance in all analytical activities.

• Experience in client engagement and relationship management, with strong interpersonal and consultative skills.

• Strong problem-solving and critical-thinking abilities, with a proactive approach to addressing challenges.

• Familiarity with data governance and quality assurance practices, ensuring the integrity and accuracy of data analyses.

Preferred Qualifications:

• Experience working with state health and human service agencies.

• Strong knowledge of Medicaid policy and regulations.

• Familiarity with advanced analytics tools and platforms (e.g., SAS, STATA).

• Relevant certifications, such as Certified Data Scientist, Project Management Professional (PMP), or equivalent.

• Demonstrated experience in business development activities, including responding to RFPs, authoring white papers, and delivering industry presentations.