Career

Desirable Requirements:

• Having a bachelor’s degree, preferably in Analytics, Computer Science, Statistics, or a related major with more than 6 years of relevant subject area experience or more than 4 years of experience with Masters Experience in working with and creating data architectures.
• In-depth knowledge of Machine learning techniques including clustering, decision tree learning, artificial neural networks, etc...  as well as their practical advantages
• Excellent skills in software prototyping and engineering with expertise in applicable programming and analytics languages (Python, Java), in addition to open-source Machine learning and analytics packages to generate deliverable modules and prototyped demonstrations of your work.
• Strong skills and experience in Machine learning (diverse types of data and sources, different types of learning models, diverse learning settings) 
• Have ability and used to work in multi-disciplinary environments, and a passion for ideas realized in practice
  Excellent analytical, written, and verbal communication skills

Essential Requirements: 

• Strong experience with Bigdata technologies, ETL, ELT, statistics and causal inference, Deep Learning, modeling and simulation Strong knowledge of Machine learning fundamentals, data mining, and statistical predictive modeling.
• Experience in applying these methods to real-world challenges
• Ability to communicate effectively with Data Scientists, AI/ML engineers, quality engineers and management
• Excellent problem-solving skills with an emphasis on product development.
• Strong programming skills in Python
• Good experience in handling big scale data 
• Working knowledge of spark 
• Having 2 years of experience in leading and mentoring