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Open nowPosted 8 hours ago

Data Scientist, Data & AI

Jobgether4,076 open roles

Where
US
Work mode
Remote
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Your applicationOpen nowData Scientist, Data & AIJobgether · US

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Jobgether's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

8.1% of postings close within 7 days. Measured by our own scanner across the market. Jobgether postings stay open a median of 6 days.

Share of postings closed within
  1. 1.7%1 day
  2. 3.6%3 days
  3. 8.1%7 days
  4. 15.1%14 days
  5. 34.0%30 days
This job: posted 8 hours ago

Jobgether median: 6 days open

The posting

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.

Accountabilities

  • 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.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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