Senior Data Scientist - Infrastructure/Chemicals

Roles & Responsibilities :

- Suggest, collect and synthesize requirements and create effective machine learning/deep learning solution/product

- Good applied statistics skills such as distribution, statistical testing, regression, etc.

- Strong understanding of common machine learning techniques such as Decision Trees, Nave Bayes, SVM, K-NN, clustering, multi-variate time series, Bayesian Networks, Boosting and Bagging techniques

- Has experience in computer vision, text extraction from image, recommender system on large scale

- Build and implement machine learning model on real time streaming data (video, IoT/sensor)

- Strong background in Deep Learning/RNN/CNN/LSTM, transfer learning, training dense layers

- Experience in implementing different deep learning architecture through frameworks like TF, Keras, PyTorch, Caffe, MXNet

- Proficient in R/Python/PySpark and query language like SQL

- Knowledge of automated ML pipeline

- Knowledge of cloud ML platforms (AWS Sagemaker, GCP AI platform)

- Exposure to BI/visualization tools like PowerBI

- Ability to work in an entrepreneurial environment and be a self-starter

- Good team player

- Strong communication skills

- Strong bias towards action and results

Experience :

- Overall 8+ years of experience out of which 6+ years must be in core Data Science/Machine Learning roles building models in R/Python/PySpark

- Must have experience in building deep learning models using image and video data

- Have built and implemented model for streaming data and IoT/sensor data

Education :

- Master's/Bachelor's Degree in a quantitative major (engineering / statistics) or MBA from premier institutes