Data Lead

Manpower Staffing Services; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Une société leader dans le domaine des services de personnel recherche un Senior Data Lead à Singapour. Ce rôle implique la direction du développement de solutions de données innovantes en utilisant des modèles de machine learning avancés pour aligner les résultats avec les objectifs commerciaux. Le candidat idéal doit posséder une solide expérience en modélisation de données et des compétences prouvées dans des environnements de mélange des données et de programmation.

Qualifications

• Expertise en modélisation de données et en techniques de statistiques avancées.
• Excellentes compétences analytiques et en résolution de problèmes.
• Capable de communiquer des données complexes de manière simple.

Responsibilities

• Développer et optimiser des modèles de données complexes.
• Conduire des initiatives de machine learning et deep learning.
• Diriger une équipe de scientifiques des données et analystes.

Skills

Data Modeling

Machine Learning

Deep Learning

Statistical Analysis

Data Governance

Agile Development

Education

Bachelor's degree in Statistics

Master's degree or PhD in a related discipline

Tools

TensorFlow

PyTorch

SQL

NoSQL Databases

Hadoop

Spark

Job description

Job Purpose/Position Summary

The Senior Data Lead will use and implement a wide array of statistical, econometric and advanced machine learning models to drive data organization.
This role will require expertise in data modeling, machine learning (ML), deep learning (DL), and agile practices while working with a distributed team.
As a Senior Data Lead, you will drive the development of innovative data solutions and ensure their alignment with business goals.

Responsibilities

• Data Strategy Development: Define and implement Intelligence data strategy in alignment with business objectives.
• Data Modeling: Design, implement, and optimize complex data models for structured and unstructured data.
• Machine Learning & Deep Learning: Develop, test, and deploy ML/DL models to solve business problems and improve decision-making processes.
• Data Mining & Statistical Analysis: Leverage expertise in data mining, mathematics, and advanced statistical analysis to uncover insights and guide strategic decisions.
• Pattern Recognition & Predictive Modeling: Develop advanced systems for pattern recognition and predictive modeling to forecast trends and optimize processes.
• Statistical Innovation: Research and devise innovative statistical models for advanced data analysis.
• Data Governance: Establish and enforce data quality and security standards.
• Insights and Implementation: Implement data-driven insights to enhance decision-making and business performance understanding strategic business goals and anticipate analytical needs to support and measure business decisions.
• Research-Oriented Collaboration: Thrive in a dynamic, research-focused group with several concurrent projects, contributing to innovative solutions and high-impact outcomes.
• Industry Awareness: Stay updated on the latest technical and industry developments to identify opportunities for smarter, more efficient business processes.
• Team Leadership: Lead a remote, cross-functional team of data scientists, analysts, and engineers. Mentor junior members to promote professional growth.
• Stakeholder Communication: Communicate findings, insights, and recommendations clearly to all stakeholders, ensuring alignment and understanding.
• Agile Development: Drive the adoption of agile methodologies, ensuring iterative progress and the delivery of high-quality solutions.
• Collaborate Across Teams: Work closely with product design and engineering teams to understand their needs and translate them into actionable data solutions.

Technical Expertise

• Proven experience in data modeling, database design, and optimization.
• Advanced understanding of statistical techniques, data mining, and their application in business contexts.
• Expertise in designing and implementing pattern recognition systems and predictive models.
• Good proficiency in ML/DL frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Expertise in programming skills like Python, R, or Java.
• Experience in big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure).
• Experience with SQL and NoSQL databases.

Qualification

• Good analytical and problem-solving abilities.
• A data-driven mindset with excellent analytical and critical thinking abilities.
• Comfortable and effective working in a fast-paced, research-oriented group with multiple simultaneous projects.
• Ability to communicate complex data in a simple, actionable way.
• Bachelor's degree (or equivalent) in Statistics, Applied Mathematics, Computer Science or Engineering, Data Science, or a related discipline. A Master's degree or PhD is a plus.

Aftab Ahmed Saghana Sithara EA License No.: 02C3423 Personnel Registration No.: R1550224

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