Senior Data Scientist

Department: AI Cluster

Employment Type: Full Time

Location: Georgia

Description

Key Responsibilities

• Lead the entire machine learning model lifecycle, from initial research and hypothesis testing to production deployment and maintenance
• Translate complex business goals into well-defined data science problems and quantifiable metrics
• Design and develop robust, scalable machine learning systems from scratch, including data analysis, annotation, and processing pipelines
• Contribute to the overall system architecture and integrate ML models with existing backend services and infrastructure
• Monitor and maintain deployed models, proactively identifying and addressing issues like concept drift to ensure consistent performance
• Support the development and growth of other team members through mentorship and participation in onboarding programs
• Drive continuous improvement by automating repetitive tasks and proposing innovative solutions that lead to significant business impact
• Communicate complex technical concepts and findings clearly and concisely to both technical and non-technical stakeholders

Skills, Knowledge and Expertise

• Previous experience in a data science or machine learning role
• An academic background in a quantitative field such as Computer Science, Mathematics, or a related discipline will be a plus
• Expert-level proficiency in Python and its core data science libraries (e.g., Pandas, NumPy, Scikit-learn, PyTorch)
• Deep expertise in classic machine learning and deep learning techniques, with a strong understanding of advanced mathematics relevant to these fields
• Experience with ML system design and MLOps practices for building, testing, deploying, and monitoring models in a production environment
• Proven experience with event systems, deployment environments, and maintaining production services
• Familiarity with technologies for streaming, batch, and async data processing. Proficiency in at least one specialized ML domain (e.g., NLP, Computer Vision, Tabular ML, Graph Neural Networks)
• Strong understanding of software system design principles and the ability to contribute to architectural discussions
• Experience in experimental design to validate hypotheses and measure the effectiveness of solutions
• A solid grasp of security, risk, and control concepts in a production environment

Why join us

• Help us challenge injustice by creating fair choices for millions of people across 1100+ cities in 48 countries.
• Develop your professional skills with access to mentoring, career consulting, and learning programs.
• Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program.
• Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects.
• Work alongside people who take initiative, speak openly, and challenge themselves to grow.
• Improve your language skills through co-financed courses and internal speaking clubs.