Responsibilities

• Involve in deploying machine learning models, data science solutions and working with state-of-art data science and machine learning tools such as Spark, Sklearn, Tensorflow and will have mastery in any number of analytic programming languages/platforms like Python, R. etc.
• Work with large datasets, distributed Big Data Platforms, CI/CD tools for continuously deploying variety of advanced analytics solutions across the bank ranging from recommendation engines, propensity models, customer segmentation, Graph models, Credit underwriting model, pricing and more
• Engage with data science/machine learning project teams, business and product teams to create the deployment framework
• End-to-End processes for feature engineering, model deployment and model performance monitoring
• Deploy A/B test experiments to test the model effectiveness and Analyze to identify the target segments
• Drive the Big data infrastructure/ Data engineering team to set up the production environment
• Build reusable, scalable deployment frameworks
  
  Requirements:
• 3-7 years of experience in data science/analytics (consumer banking, ecommerce, retail, telecoms, technology) with demonstrated track of generating value through DS/ML/AI solutions.
• B.Sc./M.Sc./PhD or equivalent degree in Statistics, Analytics, Applied Mathematics, Operation Research.
• Should have full understanding of applications of DS/ML/AI solutions to various business problems.
• Proficiency in using databases like Teradata, NoSQL and Hadoop using SQL, Hive, Spark, CI/CD tools such as Bitbucket/GitHub, Jenkins, Repository management, Kubernetes, Kibana, Grafana etc.
• Programming experience in Python, Spark, SAS, TensorFlow or other machine learning oriented programming languages/platforms.
• Good understanding of technology tools especially those related to analytics, data & modeling.
• Ability to communicate complex analysis/models across a diverse team.
• Good communication skills.
  Interested Candidates may send their resume and cover letter directly to Hibah.bakhtavar@manpower.com.sg ,stating the position as the subject title in the email.
  Hibah Bakhtavar | EA License No. 02C3423 | Personnel Registration No. R21103109
   

Hibah Bakhtavar EA License No.: 02C3423 Personnel Registration No.: R21103109

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