Data Scientist

CSM Technologies, founded in 1998 in the capital city of Bhubaneswar, is a CMMi5 IT Solutions & Services company that has implemented 500+ projects in diverse markets, including government, enterprises, and small businesses, across multiple geographies. Over the course of two decades, the organisation has grown from three to eight hundred members of staff.

JOB LOCATION: Phnom Penh, CAMBODIA
Coverage of Medical Insurance in Cambodia
Travel arrangements to/from office location in Cambodia

• Define objectives and hypothesis for research on data and AI models
• Analyse the ways in which datasets may be biased and address this in safety measures and deployment strategies
• Conduct extraction and integration of data including features from different data sources
• Develop multiple models and algorithms suitable for the use case
• Perform model comparison to draw inferences on variable importance
• Select the best model based on pre-defined evaluation criteria
• Account for data ethics and policies in model selection and evaluation process
• Interpret and evaluate model performance for scaling and deployment
• Conduct testing on final model in real-time business conditions prior to deployment
• Scale and deploy models in real-time business conditions for end user consumption
• Initiate autonomous monitoring to scale human oversight
• Document modelling techniques used and assumptions made against test outcomes
• Enable end user capability to use AI/ Data Science products effectively
• Create reports and deliverables based on insights derived from the model results
• Develop compelling, logically structured presentations including story- telling of research and/or analytics findings to secure stakeholder commitment
• Contribute to the creation of leading-edge resources, including playbooks, guides, blog posts, videos, etc.

Skills & Experience

• Strong background in computer science, mathematics, or a related field
• Proficiency in programming languages such as Python, R, or SQL
• Familiarity with data science software such as Jupyter Notebook, RStudio, or Tableau
• Knowledge of statistical analysis and data visualization techniques
• Ability to define objectives and hypothesis for research on data and AI models
• Ability to develop multiple models and algorithms suitable for the use case
• Experience with model comparison to draw inferences on variable importance
• Knowledge of data ethics and policies in model selection and evaluation process
• Experience with testing on final model in real-time business conditions prior to deployment
• Ability to scale and deploy models in real-time business conditions for end user consumption
• Ability to develop compelling, logically structured presentations including story-telling of research and/or analytics findings to secure stakeholder commitment
• Ability to contribute to the creation of leading-edge resources, including playbooks, guides, blog posts, videos, etc.