Senior Data Scientist
inDrive
Employer Active
Posted 2 hrs ago
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Nationality
Any Nationality
Gender
Not Mentioned
Vacancy
1 Vacancy
Job Description
Roles & 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
Desired Candidate Profile
- 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
Company Industry
- Internet
- E-commerce
- Dotcom
Department / Functional Area
- IT Software
Keywords
- Senior Data Scientist
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