Job Description :
Our direct client is looking for a Data Scientist. They are working with machinery learning how we can improve the efficiency of drug manufacturing and deliver better quality. This person would work with other Data Scientists and External Customers solving real life problems.
Must Have''s:
Strong in Python
Strong analytical skills
Knowledge of programming languages - Java, C++
Machine Learning experience
Desired:
Life Sciences / Healthcare domain experience
Master''s degree
Exposure to big data
General Responsibilities:
Provide guidance to data collection teams on test protocols including design of experiments, sample size, and statistical distributions.
Design and implement data aggregation, data cleaning and data transformation.
Design and implement exploratory data analysis.
Design and implement machine learning algorithms, probabilistic algorithms, statistical algorithms etc.
Hyper parameter optimization
Demonstrate algorithms meet accuracy requirements on general subject population through statistical analyses and error estimation
Write technical reports summarizing development, analysis, training and validation of the algorithms
Provide design input specifications, requirements, and guidance to software engineers for algorithm implementation for product development
Desired Characteristics:
Have completed graduate-level coursework in statistics
Experimental design experience
Technical proficiency in languages such as Python, R, C++, Java, etc.
Experience with medical imaging analysis leveraging deep learning methodologies using GPUs
Hands-on advanced proficiency in handling and analyzing large data sets such as medical imaging data.
Extensive experience with neural network libraries such as Caffe, Keras, Tensorflow, Torch etc.
Expertise in broader machine learning techniques
Excellent written communication, verbal communication and presentation skills are required.
Experience with big data technologies and HPC such as the Hadoop, Spark, Hive, Hbase etc.