Sr Data Scientist& Applied Machine Learning (Remote - GDL)

• Develop and implement advanced data models and algorithms to solve complex business challenges.
• Analyze large datasets to uncover trends, patterns, and actionable insights.
• Collaborate with cross-functional teams to integrate data science solutions into business processes.
• Design and execute experiments to validate data-driven hypotheses.
• Build predictive analytics and machine learning models to enhance business strategies.
• Communicate findings and insights effectively to stakeholders through visualizations and reports.
• Stay updated with the latest advancements in data science and apply them to ongoing projects.
• Ensure data integrity and compliance with industry regulations.

Build ML solutions that drive real-world impact.Join an early-stage team shaping core data science foundations.

A successful Sr Data Science professional should have:

• A Master's or Ph.D. degree in Computer Science, Engineering, Statistics, or a closely related field.
• Five to six years of professional experience working with data, including at least two years focused on machine learning, statistical modeling, or AI.
• Strong proficiency in analytical programming tools such as Python, R, Matlab, or similar.
• Solid, hands-on experience using SQL and relational databases for data analysis and model development.
• Practical understanding of software engineering fundamentals, including writing production-ready code, version control, and model deployment.
• Experience working in regulated or data-sensitive environments; healthcare or medical devices exposure is a plus but not required.
• Ability to work independently on complex problems while communicating effectively with leaders and stakeholders.
• Competitive salary and benefits superior to those required by law.