About the role
Job Purpose
Responsible for owning and delivering complex data science solutions end-to-end, leveraging advanced modeling, experimentation, and analytics to drive business impact and data-driven decision-making. Ensures scalable and business-aligned outcomes, collaborates with cross-functional teams, and mentors junior data scientists to enhance team capability and performance.
Key Result Responsibilities
Translate complex business challenges into scalable data science and machine learning solutions that deliver measurable business value.
Own the end-to-end data science lifecycle, including problem definition, data exploration, experimentation, model development, validation, deployment, and monitoring.
Design and implement advanced analytical, predictive, and machine learning models to address business requirements.
Develop and optimize features, algorithms, and model performance to improve accuracy, efficiency, and business impact.
Ensure solutions are scalable, reliable, and aligned with business objectives, governance standards, and best practices.
Key Result Responsibilities-Continued
Collaborate with Data Engineering teams to define data requirements, improve data quality, and ensure the availability of reliable data assets.
Partner with ML Engineering and Platform teams to support model deployment, integration, monitoring, and production performance.
Mentor junior data scientists through technical guidance, code reviews, and knowledge sharing.
Communicate insights and recommendations to stakeholders, enabling data-driven decision-making across the organization.
Qualifications (Academic, training, languages)
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field (or equivalent practical experience).
Strong expertise in machine learning and statistical modeling
Advanced experience in experimentation (A/B testing, hypothesis testing)
Ability to work with large and complex datasets
Strong coding and model optimization capabilities
Strong understanding of production constraints and model lifecycle
Familiarity with monitoring concepts and model performance tracking
Ability to…
