Data Scientist Engineer - IT Jobs

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  5 – 8 years
 Best in Industry
  Bangalore and Chennai

One of our clients is a leading Emotion AI Platform helping Brands measure & optimizes their customer experience. Currently hiring for a Data Scientist Engineer who will be responsible to propose and develop solutions independently and work with other data scientists

Position : Permanent
Location : Bangalore and Chennai
Salary : Best in Industry

Job Details:

Job Title: Data Scientist Engineer

Location: Bangalore and Chennai

Experience: 5 – 8 years

Salary:  Best in Industry

Vacancies: 1

Job Type: Full-time

Qualification: Engineering Graduate

Mode of Interview: Face to face HR Round

Key Responsibilities/Skills:  

1. Work on challenging fundamental data science problems in affective computing
2. Propose and develop solutions independently and work with other data scientists
3. Drive the collection of new data and the refinement of existing data sources
4. Continuous focus on enhancing the current models with an overall goal of improving the accuracy of different emotion touch points
5. Prepare white papers, scientific publications and conference presentations
6. Work closely with product and engineering teams to identify and answer important product questions
7. Communicate findings to product managers and engineer
8. Analyze and interpret the results
9. Develop best practices for instrumentation and experimentation and communicate those to product engineering teams

Requirements

1. Masters or Ph.D. in a relevant technical (deep learning, machine learning, computer science, physics, mathematics, statistics, or related field), or 4+ years experience in a relevant role
2. Extensive experience solving analytical problems using quantitative approaches using machine learning methods
3. Should be experienced in Computer Vision and Visual Feature Extraction.
4. Experienced with Deep Learning Libraries like Tensorflow, Pytorch and architectures like CNN, RCNN.
5. Track record of using advanced statistical methods, information retrieval, data mining techniques
6. Comfort manipulating and analyzing complex, high-volume, high-dimensional data from varying sources
7. A strong passion for empirical research and for answering hard questions with data
8. A flexible analytic approach that allows for results at varying levels of precision
9. Fluency with at least one scripting language such as Python
10. Experience with at least some of the following machine learning libraries: scikit-learn, H2O, SparkML, etc
11. Experience with practical data science: source control workflows, deploying machine learning models in production, real-time machine learning.

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