IT Data Scientist in United States at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an IT Data Scientist in United States.

This fully remote opportunity is ideal for data professionals passionate about leveraging advanced analytics and machine learning to improve large-scale operational and healthcare outcomes. In this role, you will work with complex structured and unstructured datasets to build predictive models, uncover insights, and support strategic decision-making initiatives. You’ll collaborate closely with stakeholders, technical teams, and subject matter experts to develop innovative AI-driven solutions in a highly data-centric environment. The position offers exposure to cutting-edge technologies including NLP, LLM-based analytics, and cloud-based machine learning workflows. Candidates who thrive in collaborative, research-oriented environments and enjoy solving real-world challenges through data science will excel in this role. This is an exciting opportunity to contribute to impactful initiatives while growing within a forward-thinking and innovation-driven organization.

• Collaborate with stakeholders and subject matter experts to define and execute data-driven initiatives that improve operational efficiency and outcomes.
• Analyze large-scale structured and unstructured datasets while ensuring data quality, validation, and interpretability.
• Develop and deploy machine learning and statistical models including regression, classification, clustering, forecasting, and ensemble techniques.
• Utilize NLP and LLM-based text analytics to extract insights from clinical notes, reports, and other unstructured data sources.
• Conduct exploratory data analysis and create scalable analytical workflows using Python, R, and SQL.
• Communicate complex findings effectively through reports, dashboards, visualizations, and presentations tailored to technical and non-technical audiences.
• Build reusable, well-documented code and analytical pipelines on cloud-based platforms.
• Apply best practices in collaborative software development, including Git version control and modular coding standards.
• Independently manage multiple projects while balancing iterative development, accountability, and delivery timelines.

• PhD in Data Science, Computer Science, Statistics, Applied Mathematics, Engineering, Biomedical Informatics, or a related field; or a Master’s degree with 2–4 years of relevant data science experience.
• Proven experience solving complex analytical and machine learning problems in real-world environments.
• Strong proficiency in Python and/or R for advanced analytics and machine learning, along with advanced SQL skills.
• Expertise in statistical modeling, machine learning, AI techniques, and predictive analytics methodologies.
• Experience with advanced technologies such as deep learning, Bayesian methods, NLP, LLMs, causal modeling, or knowledge engineering.
• Ability to work with large-scale heterogeneous datasets and transform data into actionable business insights.
• Strong communication and storytelling skills with experience presenting technical concepts to diverse audiences.
• Familiarity with software development best practices, containerization tools like Docker, and collaborative coding workflows.
• Preferred experience with healthcare-related datasets, MLOps principles, CI/CD pipelines, and production AI/ML deployments.
• Must be authorized to work in the United States without current or future visa sponsorship.

• Competitive compensation ranging from $51.05 to $76.60 per hour, based on experience and qualifications.
• Fully remote work flexibility from approved U.S. states.
• Comprehensive medical, dental, vision, life, and disability insurance coverage.
• Paid time off and wellness-focused employee support programs.
• Retirement savings plans with employer matching contributions.
• Flexible Spending Accounts (FSA) for healthcare and dependent care expenses.
• Family-focused benefits including adoption assistance and paid parental leave.
• Educational assistance and ongoing professional development opportunities.
• Annual compensation increases and additional premium pay opportunities for eligible roles.
• Access to a collaborative, mission-driven culture focused on innovation, inclusion, and meaningful impact.