Data Scientist Lead

2 weeks ago


Shah Alam, Selangor, Malaysia Khind Malaysia Full time

Roles & Responsibilities:

Lead and manage the data science team to:

  • Manage the data science workload, priorities work and tasks for the team.
  • Create various machine learningbased tools or processes by interpreting and analyzing data from multiple sources.
  • Have strong business acumen, as well as an ability to communicate findings, and mine vast amounts of data for useful insights.
  • Use these insights to influence the business's approach or help clients to solve business challenges.
  • Able to extract and analyze data from multiple sources and angles, looking for trends that highlight problems opportunities.
  • Communicate important information and insights to business leaders and make recommendations to adapt existing business strategies.

Data Modelling & Analyses

  • Lead the data science team.
  • Technical review and validation of models done by other data scientists.
  • Execute data mining steps from data preparation, modelling & interpretation (data mining, predictive analytics and reporting by using advanced tools such as, R, KXEN or others or any related ETL tool)
  • Do manipulation of data architecture / warehouses, creating complex new variables
  • Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
  • Design, test, and implement descriptive, predictive, and prescriptive studies using appropriate machine learning and data science techniques.

Create client value through Business Insight generation - Turning insights to action.

  • Validate technical accuracy and business values of insights.
  • Engage in the delivery of analytics assignments for clients involving, amongst others: segmentation, churn prediction, cross & up sell, forecasting, predictive asset maintenance, optimization.

Business Development

  • For Proofofconcept Deliverables, final and appropriate data science approaches and methods

Team Work / lead

  • Collaborate with several other teams and roles across the business on requirements gathering and solution deployment.
  • Contribute to the building and management of the analytics infrastructure.
  • University Degree in math, statistics, computer science or any related field
  • At least 5 years working experience in data mining, developing custom data models, machine learning and data science.
  • Experience in using advanced tools such as R, KXEN or other that is related to ETL tool
  • Have strong business acumen, as well as an ability to communicate findings, and mine vast amounts of data for useful insights.
  • Able to extract and analyze data from multiple sources and angles, looking for trends that highlight problems opportunities.
  • Good leadership skills

Pay:
Up to RM6,000.00 per month

Benefits:

  • Health insurance

Schedule:

  • Monday to Friday

Supplemental pay types:

  • Performance bonus

Language:

  • English (required)
  • Bahasa (required)

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