Senior Data Scientist

Essential functions

• Collaborate closely with the engineering and product team to design and implement Machine Learning models that support product recommendations and other business needs
• Develop and manage the Machine Learning lifecycle, from initial prototyping to full-scale production deployment
• Interpret and integrate complex data sets from various sources, including structured and unstructured data
• Apply expert knowledge in Machine Learning and Artificial Intelligence to diverse datasets and use cases, ensuring scalability and adaptability of solutions based on volume and requirements
• Build and maintain a robust MLOps workflow, including model prototyping, deployment, and monitoring.

Qualifications

• Proven expertise in developing Machine Learning models, including tabular data and NLP models
• Experience with product recommendation systems and the ability to  innovate beyond traditional approaches.
• Experience with AWS cloud services, particularly SageMaker, EC2, S3, and Redshift.
• Strong programming skills in Python
• Experience in deploying Machine Learning models into production environments, particularly using CI/CD frameworks
• Solid understanding of the full ML lifecycle and MLOps principles
• Demonstrated ability to work collaboratively in cross-functional teams and communicate complex technical information to non-expert stakeholders.

We offer

• Opportunity to work on cutting-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, vision, dental, etc.
• Corporate social events
• Professional development opportunities
• Well-equipped office

About us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization, and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.