Data Scientist/Machine Learning Engineer - IT

Job Summary

Client is an IT Company, Delivering Analytics Services. We are looking for a data scientist / machine learning engineer to help develop the next generation of our algorithms and play a key role in our data science initiatives. The successful candidate will have the opportunity to join a new team applying data-driven machine learning technologies to large data sets from wearable medical sensors.

Responsibilities

- Design, build and test machine learning algorithms for the analysis of signal data

- Perform exploratory data analysis and visualizations of multivariate data sets

- Work closely with our software engineering team and clinical experts to deploy machine learning algorithms into production

Required Qualifications

- MS or PhD in Computer Science, Electrical Engineering, Statistics or a related quantitative field

- Excellent knowledge of various machine learning classification algorithms, statistical modeling and time-series analysis

- Basic knowledge of signal processing concepts like filtering, Fourier and wavelet transforms

- Strong programming skills in Python and familiarity with python libraries like numpy, scikit-learn, pandas etc.

- Excellent knowledge of data structures, algorithms and modern OOP techniques

- Experience working with real-world data sets with possible noise in data and labels

- Ability to work independently and meet deadlines

- Strong interpersonal and verbal communication skills

Desired/Preferred Qualifications

- Previous experience with Iot

- Familiarity or experience with recent advances in deep neural network architectures and software frameworks like Theano and TensorFlow

- Experience developing software in a Unix/Linux programming environment

- Familiarity with cloud computing and big data technologies