Working Timezone: 1 PM - 9 PM

Required:

An undergraduate degree in statistics, mathematics, computer science, engineering, or related discipline.
5+ years of relevant real-world experience researching, developing, and delivering high-impact data-driven insights through machine learning.
Deep understanding of supervised, unsupervised, Convolutional Neural Networks (CNN), Restricted Boltzmann Machine (RBM), Transfer Learning, SVC, Multi-layer perceptron (MLP)
Understanding of speaker recognition, speech recognition, and signal processing with knowledge in Mel-Frequency Cepstral Coefficients (MFCC), Linear Predictive Cepstral Coefficients (LPCC), Vector Quantization (VQ), Dynamic Time Wrapping (DTW)
High proficiency in exploratory data analysis, data profiling, and feature engineering on large structured and unstructured datasets.
In-depth knowledge and hands-on computer programming in SQL, Python, R, or similar programming languages.
Excellent written and verbal communication and consultancy skills - the ability to succinctly communicate results and tell compelling stories with data to any audience.

Preferred:

Master’s degree or Ph.D. in statistics, mathematics, computer science, engineering, or related discipline.
Deep knowledge of probability, statistics, and machine learning algorithms and be able to determine when to apply them.
Familiarity with big data platforms (like Spark, and Databricks), machine learning frameworks (like Tensorflow, Keras, or PyTorch), and libraries (like numpy, pandas, and sci-kit-learn) and ability to learn new technologies quickly.
Knowledge of Azure, or similar cloud platforms.
Experience presenting to both technical and non-technical audiences and a history of publications or presentations at conferences is a plus.

Data Scientist - Audio Voice Print Prediction