Applied Scientist - Artificial Intelligence/Machine Learning/Deep Learning - BFSI

- Looking for an Applied scientist to be based in Bangalore, India with 3+ years of solid experience in solving complex problems using machine learning and data science.

- As an Applied scientist, you will provide machine learning expertise that helps accelerate the business.

- You will build various data and machine learning models that help us innovate different ways to enhance customer experience.

- You will need to be entrepreneurial, wear many hats, and work in a highly collaborative environment.

- We like to move fast, experiment, iterate and then scale quickly, thoughtfully balancing speed and quality. 

Responsibilities include:

- Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business.

- Create experiments and prototype implementations of new learning algorithms and prediction techniques

- Collaborate with scientists, engineers, product managers, and stockholders to design and implement software solutions for science problems

- Use machine learning best practices to ensure a high standard of quality for all of the team deliverables.

Basic Qualification:

- M.S. in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field

- 3+ years of hands-on experience in predictive modeling and analysis

- 2+ years hands-on experience in Python, Perl, Scala, Java, C#, C++ or other similar languages

- 1+ years professional experience in software development

- Proficiency in model development, model validation and model implementation for large-scale applications

- Ability to convey mathematical results to non-science stakeholders Strength in clarifying and formalizing complex problems

- Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts.

Preferred Qualification:

- Ph.D. in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field

- 5+ years of practical experience applying ML to solve complex problems in an applied environment

- Significant peer-reviewed scientific contributions in premier journals and conferences

- Strong CS fundamentals in data structures, problem solving, algorithm design and complexity analysis

- Experience with defining research and development practices in an applied environment

- Proven track record in technically leading and mentoring scientists

- Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts

- Excellent interpersonal communication with strong verbal / written English skills