Data Scientist

Please apply using the following link

• (Use the "Apply for this Job" box below).?meta=eyJpZCI6
  
  MTF9

Responsibilities

• Help design, implement, and validate the ML Pipelines while collaborating with other data scientists.
• Coordinate and collaborate with other Software Development group so that ML Pipeline fits well with the rest of our software applications.
• Balance adding new features with the need for stability and performance.
• Grow development capabilities to align with the pace of business needs.

Qualifications

• Master's degree or higher in Computer Science, Computer Engineering, Electrical Engineering or similar discipline with industrial experience in software development
• 3+ years of experience with Python coding
• 3+ years of recent experience working as a Data Scientist in industry
• Experience with developing production-grade code, preferably in Python
• Experience with data science and machine learning, including Python libraries such as Num Py, Sci Py, Pandas and Scikit-learn
• Strong professional written and verbal communication skills
• Ability to pass a Data Science skills-based test
• Experience with relational or No
  
  SQL databases such as Oracle/Cassandra/Redis or similar
• Ability to create model-ready data from raw data, at scale
• Ability to translate business problems into data science pipelines
• Comfort with ML theory to recommend solutions beyond the standard libraries
• Must be able to work independently and as part of a diverse interdisciplinary and international team
• Communicates clearly to technical and non-technical audiences
• Empathy with customer business challenges
• Ability to map business problems to software and data science techniques.
• Understanding of fundamental data science and machine learning pipeline including data cleansing, feature engineering, imputation, model tuning, and model prediction
• Basic understanding of the pros and cons of different machine learning algorithms, and basic understanding for different types of open source ML frameworks
• Understanding of hypervisors/containers, especially Docker