Data scientist в NVIDIA
What you'll be doing:
- We will develop high-performance and high-availability in-house real-time analytics system based on MapD+Immerse engine together
- We will also design and develop various ML pipelines
- You will lead many DL/ML projects related to various NVIDIA products in PC, Console and Cloud Gaming areas
- Participate in development of automatic data cleanup and validation system owned by your team
- Build complex Data automation and Analytics systems using Apache Hadoop ecosystem, including Map-Reduce, Spark and various self-developed components
- At the same time, you will communicate with external teams help them in their Data Analytics projects
What we need to see:
- Master of Science/Philosophy Doctor in a technical discipline
- You should fully understand parallel computing on multi-threads and multi-processes
- You are expected to be fluent in DL/ML (Statistics, Fraud/Anomaly detection, user segmentation, recommendation systems, A/B testing) and Data Analytics
- Flawless understanding of Regression, Classification, Clusterization (transactional and real variables) and embedding methodologies, their pros/cons is very significant
- We expect to see excellent communication skills, ability to document and present the current status and final project deliveries
- Intermediate/upper-intermediate oral and written technical English
- Skills of working in internationally distributed team
- Self-motivated, engaged, eager for self-education
Ways to stand out from the crowd:
- We appreciate additional programming skills in R, Python (jupyter/ipython), C
- And it's very important to have basic Linux skills
- Experience in any of sklearn, scipy, numpy, pandas, matplotlib, Theano/TensorFlow/Keras, xgboost/catboost is a huge plus
- Deep understanding of DL models development (RNN, Dense, Convolutional, ensembles) is valuable for us
- Real passion for PC/Mobile/Cloud gaming is highly desired
Apply
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