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Lead Data Scientist

  • Location:

    Singapore

  • Sector:

    Technology

  • Job type:

    Permanent

  • Salary:

    Negotiable

  • Contact:

    Saurabh Bhattacharya

  • Contact email:

    Saurabh.Bhattacharya@weareoliverjames.com

  • Job ref:

    JOB-022021-135780_1613016331

  • Published:

    21 days ago

  • Expiry date:

    2021-03-13

Responsibilities:

  • Drive the full lifecycle of Data Science projects: from gathering and understanding the end-user needs to implement a fully automated solution.
  • Develop and provision of Data pipelines to enable self-service reports and dashboards.
  • Deploy Machine learning techniques to answer the appropriate business problems using R or Python.
  • Visualize data using Tableau and create repeatable visual analysis for end users to use as tools.
  • Take ownership of the existing BI platforms and maintain the data integrity and accuracy of the numbers and data sources.
  • Know Agile - Scrum project management experience/knowledge - Ability to prioritise, pushback and effectively manage a data product and sprint backlog.

Requirements:

  • 6-8+ years of professional data science or product analytics experience focussed on empirical analytics, data mining, and predictive analytics to develop measurable insights.
  • Strong proficiency in writing production-quality code preferable in R/Python, engineering experience with machine learning projects like time series forecasting, Classification and optimization problems.
  • Experience with Tableau, Power BI, Superset or any standard data visualization tools.
  • Experience in building data pipelines using MPP databases (e.g. Redshift, BigQuery) and Google Analytics/Google Tag Manager is a bonus.
  • Management experience would be an added advantage point.
  • Exhibits sound business judgment, a proven ability to influence others, strong analytical skills, and a proven track record of taking ownership, leading data-driven analyses, and influencing results

E-commerce / logistics / fashion retail background a bonus.

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