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Data Science Lead

2 months ago

Dubai, Dubai, United Arab Emirates Robinson & Co (Singapore) Pte Ltd Full time
Job Description

About the Role

We are seeking a highly skilled Data Science Lead to join our team at Robinson & Co (Singapore) Pte Ltd. As a Data Science Lead, you will play a pivotal role in leading the development and deployment of cross-functional data science use cases.

Key Responsibilities

  1. Design, document, and implement predictive models and machine learning algorithms that demonstrate clear ROI to business stakeholders.
  2. Lead early-stage discussions on data potential and predictive insights to influence project scopes and deliverables, ensuring alignment with strategic goals.
  3. Architect and manage robust, scalable data pipelines to support ongoing data ingestion and analysis, optimizing for speed and data integrity.
  4. Utilize advanced technologies in AI and machine learning, including TensorFlow, PyTorch, and Azure Data and AI services, to enhance analytics capabilities.
  5. Translate complex business needs into clear technical and functional specifications to ensure precise implementation of data solutions.
  6. Work collaboratively across functional teams to integrate data insights into business processes and decision-making frameworks, enhancing the collective data competency of the organization.
  7. Strategic Contribution: Digital Risk Management, Lead the implementation of strategic initiatives and maintain a robust framework using industry standards (NIST, COBIT, ISO) to mitigate cybersecurity threats and safeguard data.
  8. Compliance and Gap Assessment: Ensure adherence to evolving regulatory requirements and industry standards (ADHICS, NESA, PCI-DSS, ISO 27001, ISO 27701, ISO 22301, ISO 28000, SWIFT KYC), minimizing compliance risks.
  9. Vendor Risk Management: Develop and implement a comprehensive strategy to manage vendor-related risks aligned with the organization's risk appetite and business objectives.

Requirements

  1. Machine Learning Development and Prototyping: Pulling datasets from SQL, Serializing ML models.
  2. Data Analysis and Experimentation: Conducting inferential analyses and data investigations.
  3. Communication and Collaboration: Clearly communicating ML/algorithm designs to cross-functional teams.
  4. Technical Proficiency: Proficiency in scripting languages (SQL, Python, Spark).
  5. Experience with Azure tools (Databricks, Azure ML, etc.) and developer tools (Azure DevOps/GitHub, Docker).
  6. Experience in MLOps and ML Frameworks: Proficiency in MLOps and LLMOps practices.
  7. Experience with ML libraries and frameworks (TensorFlow, PyTorch, MLFlow, OpenAI, LangChain).

What We Offer

  1. 15+ years of working experience in data science, with at least 5 years working in developing and deployment ML/DL solutions focused on batch and real-time data pipelines and 3+ years working as Data Science Lead.
  2. Proven record of delivering business impact through analytics solutions.
  3. Experience with probability and statistics inclusive of machine learning, optimization, forecasting and experimental design.