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  • Location:

    Singapore

  • Sector:

    Consumer Markets

  • Job type:

    Permanent

  • Salary:

    Competitive

  • Contact:

    Hartaz Kaur

  • Specialism:

    Operations / Change / Transformation

​COMPANY:

Our client is one of the world’s largest automotive distributor and retailer. They are growing their data science and advanced analytics capabilities and is looking for a Data Science Lead to build the team and lead their global operations.

The chosen candidate gets the opportunity to deliver impactful solutions within a global role with a multinational company that prides itself on driving business strategy around data and analytics.

ROLE:

The Head of Analytics will lead a data science team of 5 people and oversee the MLOps activities to deliver analytics use cases and ensure alignment with business wide vision and strategy.

Responsibilities include:

- Lay down advanced analytics roadmap based on future data needs of the business

- Scope, design and implement machine learning models to solve user cases and achieve measurable improvements

- Lead big data and analytics initiatives and greenfield projects implementations

- Create and maintain best-practice MLOps by evaluating technologies and setting standards and best practices

- Identify trends and meaningful actions for business decisions and improve operations and data standard to deliver measurable business value

- Lead big data capabilities and coordinate cross-functional analytics for the global business

- Cultivate a data-informed decision-making and hypothesis-driven experimentation culture

REQUIREMENTS:

- Master’s degree in Statistics, Machine Learning, Mathematics, Computer Science, Economics or other related quantitative field.

- Highly proficient in Python and its data manipulation and machine learning libraries.

- Previous work experience within a data science position with min 2 years experience leading a team.

- Excellent stakeholder engagement skills

- Experience using Spark/ Databricks is a plus.

- Experience with Azure is a plus.