Data Scientist
The Data Scientist at Confidential Client will leverage AI, machine learning, and predictive analytics to develop scalable solutions that enhance operational efficiency, customer experience, and business outcomes across multiple departments. This role involves collaborating with cross-functional teams to build, deploy, and optimize AI-driven models while ensuring data quality and compliance within a healthcare diagnostics environment.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Hospitals and Health Care.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
Role overview
Confidential Client is seeking a Data Scientist to join a Digital Transformation team focused on applying AI/ML and advanced analytics across Operations, Finance, Commercial/Marketing, and Laboratory functions. You will translate business problems into scalable, production-ready models and analytics products, partner with cross-functional stakeholders, and measure outcomes that drive operational efficiency and improved customer experiences.
- Employment type: Full-time
- Location: Palm Beach Gardens, FL (on-site or hybrid as required by the client)
- Base salary: USD 90,000 - 110,000 per year (as provided by the client)
What you’ll do
- Develop and deploy AI/ML solutions that improve operational efficiency and business outcomes across departments.
- Collaborate with business leaders to identify high-impact analytics opportunities.
- Translate business needs into predictive models, machine learning algorithms, and actionable insights.
- Design, validate, and deploy production-ready models; implement monitoring and continuous improvement processes.
- Analyze large, complex datasets to identify trends, patterns, and opportunities.
- Build dashboards and reporting that clearly communicate results to technical and non-technical stakeholders.
- Partner with IT, software development, laboratory operations, finance, and commercial teams to integrate AI into workflows.
- Ensure data quality, governance, and compliance with healthcare data standards and organizational policies.
- Stay current on emerging AI technologies and recommend innovative applications.
Initial strategic projects
- Predictive churn models to identify at-risk clients and inform retention strategies.
- Real-time courier delivery analytics to monitor specimen collections, deliveries, and sample stability.
- “Next Best Action” recommendation engine for Account Management to improve engagement and retention.
- Predictive inventory and workforce planning models to optimize staffing and inventory.
Qualifications & skills
- Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related quantitative field; Master’s preferred.
- 1–3 years of professional experience in data science, machine learning, AI, or advanced analytics.
- Experience developing and deploying machine learning models in production.
- Strong proficiency in Python and SQL.
- Familiarity with ML libraries (scikit-learn, TensorFlow, PyTorch, or similar).
- Experience with cloud platforms (Azure, AWS, or GCP).
- Experience building dashboards with Power BI, Tableau, or similar tools.
- Strong understanding of statistical modeling, predictive analytics, and optimization.
- Experience in healthcare, diagnostics, biotech, laboratory services, or life sciences highly preferred.
- Experience with MLOps, model deployment, and automation.
- Familiarity with Generative AI and Large Language Models (LLMs) is a plus.
- Excellent communication skills; ability to explain technical concepts to business stakeholders.
- Strong project management, organizational skills, and a collaborative mindset.
Why join
- Work on mission-driven problems that improve patient experience and operational outcomes.
- Join a collaborative environment that values mentorship and continuous improvement.
- Opportunity to shape analytics strategy and influence multiple operational domains.
- Competitive salary and benefits as provided by the client.
Logistics & compliance
- This role is subject to background checks and verification consistent with U.S. employment law.
- Candidates must be authorized to work in the United States.
- Confidential Client and Careertakes comply with all applicable federal, state, and local hiring laws.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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