J
RemoteFull-timeMid levelIT
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$152K–$308K/yr
Estimate — the employer hasn't published pay.
Based on 72 similar mid-level Data Scientist jobs in United States that show pay. The range is the middle half of their posted pay (25th to 75th percentile), not an offer — ask the employer for the real range.
Data Science & ML salaries →This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Scientist, Data & AI based in the United States.
This role offers an opportunity to contribute to data science and artificial intelligence initiatives within a healthcare environment.
The position is centered on using data, analytical methods, and AI approaches to support meaningful business and organizational outcomes.
You will work in a setting where data-driven thinking can help inform decisions and improve processes.
The role provides exposure to the intersection of data science, AI, and healthcare-related challenges.
You will have the opportunity to apply technical and analytical capabilities to complex data-focused initiatives.
The position is suited to professionals who are motivated by innovation, problem-solving, and the practical application of emerging technologies.
Additional role-specific responsibilities and qualifications were not included in the provided source.
Apply data science and analytical approaches to support data and AI initiatives.
Analyze data to identify insights and support informed decision-making.
Contribute to the development and application of AI-driven solutions where appropriate.
Collaborate with relevant stakeholders on data-focused projects and initiatives.
Help translate analytical findings into meaningful insights and practical outcomes.
Apply structured problem-solving and analytical thinking to complex data challenges.
Experience or education relevant to data science, analytics, artificial intelligence, machine learning, or a related technical discipline.
Strong analytical and problem-solving capabilities.
Ability to work with data and translate findings into clear, actionable insights.
Interest in applying AI and emerging technologies to practical challenges.
Strong communication and collaboration skills.
Ability to work effectively in a healthcare-oriented environment.
Specific degree requirements, years of experience, programming languages, platforms, and technical certifications were not provided in the source material.
Opportunity to work at the intersection of data science, artificial intelligence, and healthcare.
Exposure to data-driven and technology-focused initiatives.
Opportunity to contribute to meaningful analytical and AI projects.
Professional environment focused on innovation and applied data science.
Additional salary, healthcare, retirement, flexibility, and other benefits were not specified in the provided job description.