What are the responsibilities and job description for the Data Scientist position at Acunor?
Are you a data enthusiast with a broad understanding and experience with machine learning, artificial intelligence, and advanced multi-media (images and video) processing methods? Skilled in analyzing large, complex, multi-dimensional datasets with a variety of tools and statistical environments. You have experience in creating and implementing machine learning algorithms and advanced statistics and are proficient in statistical computing languages for data analysis -- such as Python and R, as well as Deep Learning frameworks such as Tensor Flow, PyTorch. We are in search of a Data Scientist to drive the delivery of technology results and serve as a trusted advisor to our dynamic business This is an exciting time to join our client, where those at the forefront of technology excel in our entrepreneurship culture focused on empowerment and innovation.
We need a data scientist that can work either in Irving, TX or Philly, PA on a hybrid basis.
There are no set days per week to work hybrid, but they have to be present for meetings whenever required, so prefer locals first and then people who can relocate.
Qualifications
Two or more years of Industry experience / similar experience in academics in the field of Data Science
Master’s degree in Computer Science or related field or equivalent work experience, PhD being a significant plus
Courses in AI / Machine learning / Deep learning from an University or MOOC (like – Udacity, Coursera)
A strong drive to learn and master new technologies and techniques in AI
Ability to translate recent scientific papers to code (python, R)
Some experience in software or applications engineering and/or technical operations
Work and/or academic experience building applications using any of the following:
Large scale distributed databases as well as more traditional options: key-value, graph, SQL, NoSQL, time series
Data cleansing, manipulating datasets
Training various Machine Learning, Deep Learning algorithms for NLP, Image processing, Time series and predictive analytics
Exposure to cloud environments preferably Microsoft Azure
Experience handling data with relational databases is preferred
Salary : $140,000 - $160,000
