Build ml solutions that drive real-world impact.
Join an early-stage team shaping core data science foundations.
About our client
our client is a global organization recognized for its strong commitment to innovation and continuous improvement.
Job description
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.
The successful applicant
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 stakeho