Data Scientist - R/python/machine Learning

Staffio HR - We are hiring top Data Scientists to join our team in Bengaluru. We are accelerating our growth as our company gains increasing traction in the ex.....

Staffio HR Bengaluru ₹ NA 3-8Y JobType object (1)
Job Description
  • - We are hiring top Data Scientists to join our team in Bengaluru. We are accelerating our growth as our company gains increasing traction in the exciting - AI for the Enterprise- market. - We are looking for talented technologists who want to be part of a world-class team and bring with them a healthy mix of intellectual curiosity desire to learn and passion for excellence. - 3+ years of experience in applied artificial intelligence technologies including machine learning predictive data analytics and/or data science - BE/B.Tech or Advanced degree in a relevant field (Computer Science Operations Research Statistics Mathematics Electrical Engineering or other Computational Science) - Proficient in python - Experience with spark - Knowledge of data science/machine learning concepts - Demonstrated ability to iteratively conceptualize design and build data-driven analytical models - Strong capabilities in modern analytics languages/tools Nice to haves : - Experience applying advanced AI techniques (e.g. machine learning predictive analytics. optimization semantic analysis time-series analysis advanced visualization) to real-world problems - Experience with R - Experience manipulating and preparing large heterogeneous data sets (- Big Data- ) to support advanced analytics - Demonstrated energy and passion that extends beyond your field of study - Are you a computer scientist who writes poetry- A mathematician who loves psychology- An engineer passionate about public policy- We want to build something with you. - Experience with (and excitement for) interdisciplinary collaboration Please refer to the Job description above
Job Summary
- We are hiring top Data Scientists to join our team in Bengaluru. We are accelerating our growth as our company gains increasing traction in the ex