Enter a job title or keyword
DATA SCIENCE LEAD
Job Location:
Monthly Salary:
Experience Required:
Posted:
17 October 2026 (16 hours ago)
Posted:
Application Deadline:
14 January 2027
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Summary
We are seeking an experienced Data Science Lead to drive strategic initiatives within our IT Services this pivotal role the successful candidate will oversee the end-to-end lifecycle of advanced analytics projects ensuring that data-driven solutions align with broader business objectives. This position demands a deep understanding of complex datasets and the ability to translate technical insights into actionable business strategies serving as a critical bridge between technical teams and organizational stakeholders.
Responsibilities
- Cultivate strong relationships with key stakeholders to define project scope manage expectations and ensure deliverables meet business needs.
- Execute advanced feature engineering and rigorous model evaluation processes to enhance predictive accuracy and model performance.
- Implement strategies for continuous model optimization to maximize efficiency and scalability across various data pipelines.
- Establish robust production monitoring frameworks to track model health detect drift and ensure reliable real-time performance.
- Apply critical problem-solving and analytical thinking skills to address complex data challenges and uncover hidden opportunities.
- Design and develop sophisticated machine learning and statistical models tailored to specific industry requirements.
- Utilize Python programming expertise to build test and deploy scalable machine learning solutions into production environments.
- Lead the full spectrum of model development and deployment ensuring seamless integration with existing IT infrastructure.
Requirements
Requirements:
- Possess 8 to 12 years of professional work experience within the technology or data science domain.
- Demonstrate proven expertise in stakeholder management and the ability to communicate technical concepts to non-technical audiences.
- Show advanced proficiency in feature engineering model evaluation and optimization techniques.
- Have a strong track record in setting up production monitoring systems and maintaining model reliability.
- Exhibit exceptional problem-solving capabilities combined with deep analytical thinking skills.
- Hold extensive knowledge of machine learning algorithms and statistical modeling methodologies.
- Be highly skilled in Python programming for data manipulation analysis and software development.
- Possess hands-on experience in the complete lifecycle of model development and deployment in live environments.
Required Skills:
PRIMARY SKILLS Machine Learning & Statistical Modelling Python Programming Model Development & Deployment Data Science Solution Design Technical Team Leadership SECONDARY SKILLS Feature Engineering & Model Evaluation Model Optimization Production Monitoring Problem-Solving & Analytical Thinking Stakeholder Management
Required Education:
Bachelors degree in computer science Engineering or related field
