IT Data Scientist

Accountabilities:

• 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.

Requirements:

• 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.

Benefits:

• 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.

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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