Data Scientist Competencies

Scope

• Thinks deeply about models assumption and identify the optimal solution for the project.
• Contribute idea for projects and optimizing the personal productivity to align with business decision and bring customers value
• Comfortable to support other projects if necessary

Technical Knowledge

• Apply the domain knowledge to collect data, process data, analyze data with little guidance
• Comfortable to write high quality of code, follow company code review standard, and implement the data science models
• Deeply understand machine learning, continue to learn the new models, and continue to apply it to day to day work

Execution and Project Management

• Efficiently communicate the technical ideas to non-technical stakeholders
• Comfortable to review the performance and quality of models, and is able to explain the business value with non-technical stakeholders
• Comfortable to setup projects timeline, update the progress, and track the status

Skills

• 3-5 years of work experience in Machine Learning field
• A solid understanding of statistics, probability and Machine Learning
• A solid knowledge of programming in Python and any another programming language like Java, C#, Javascript/HTML etc.
• Experienced with solving Machine learning, supervised and unsupervised algorithms, various architectures of neural networks, transfer learning in areas of NLP and Computer Vision.
• Hands-on experience with deploying models to production by building and deploying ML pipelines from data ingestion, preparation to deploying models in production.
• Knowledge of Tensorflow or Pytorch is a significant advantage.
• Prior experience in using AWS Sagemaker, Azure ML Studio, GCP etc is a significant added bonus.
• Good communication skills.
• A go-getter attitude with a drive for execution