Senior Data scientist

The job involves proposing, initiating, and managing multiple Machine Learning (ML) projects in collaboration with business teams. Its aim is to address challenges related to company Objectives and Key Results (OKRs) and enhance products using Data Science (DS) methods, processes, and systems, specifically on unstructured, diverse Big Data sources. The job holder also participates in strategic decision-making and contributes to guiding high-level business strategies while providing strategic data guidance. Allocating resources, making strategic project decisions, and cascading down to team leads are essential responsibilities.

 

Job description

Evaluate the effectiveness of proposed models and track business performance Key Performance Indicators (KPIs) against data models.
Develop cutting-edge algorithms, working with machine learning and deep learning tools to deliver advanced analytics solutions.
Drive the application of machine learning and big data techniques across different journeys and squads.
Manage, execute, and review complex data science projects in an agile manner, ensuring compliance with internal regulatory requirements.
 

Lead the identification and interpretation of meaningful and actionable insights from large data and metadata sources.
Review processes and tools designed to monitor and analyze model performance and prediction accuracy.
Proactively lead discussions in multiple squads to identify questions and issues for data science.
Collaborate with Data Engineers to build complex, technical algorithms in data analytics software applications.
 

Own the project, manage project objectives, keep everyone on track, and aligned towards set KPIs.
Manage project conflicts, challenges, and dynamic business requirements to maintain high-performance operations.
Resolve people problems and project roadblocks, conducting post-mortem and root cause analysis for continuous improvement.
 

Manage the allocated team, focusing on retention, growth of scientists, personal development, and KPI.
Mentor and coach junior team members into fully competent Data Scientists.
Identify and encourage areas for growth and improvement within the team.

 

 

Requirements

Master’s degree (or higher) in Statistics, Mathematics, Quantitative Analysis, Computer Science, Software Engineering, Information Technology, or other Numerical Disciplines.
Work Experience

Over 10 years of relevant experience in data analysis, machine learning, and deep learning model development.
Proficient in English with a deep understanding of querying databases and coding languages (e.g., Python, R, Spark, Scala, SQL, Java, C, C++).
Extensive experience in building data and analytics solutions, data mining, and statistical analysis.
Application of machine learning and AI to financial markets.
Strategic decision-making and thinking, ability to interact with senior management and translate tech to business.
Deep experience in Agile Software Development and mastery of Agile principles, practices, and Scrum methodologies.
Management experience leading projects, building and mentoring scientists towards success.

 

 

Apply online or feel free to contact me directly for more information about this opportunity. Due to the high volume of applicants, we regret to inform you that only shortlisted candidates will be notified. Thank you for your understanding.

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