Research Engineer/Lead- Data Scientist

Responsibilities

• Conceptualize, Architect, Design, Develop, Productionize Improve Models as part of the Platform Solution.
• Setup scalable pipelines and processes for data pre-processing/cleaning, feature extraction, dimensionality reduction, model building and serving.
• Utilize existing and newer algorithms to build the prediction and optimization models from the time series data.
• Collaborate with physics-based modelling team members to pre-train the models before field deployment.
• Collaborate with front-end developers to integrate analytics.
• Entrepreneurial leadership role, where in you innovate every day and do things beyond your current capabilities.

Skills

• Computer Vision
• Machine Learning
• Python
• Keras
• Scikit-learn
• TensorFlow
• RNN/LSTM
• Gradient Boosted Machines
• SVM

Qualifications

• BTech/MTech/PhD in CS/ECE/Statistics or other relevant field from reputed Institutes. 1 to 12 years of Industrial experience.
• Experience in statistical time-series analytics and forecasting: quartiles, ETS forecast, Holt-Winters, auto regressive techniques ARIMA/SARIMA, GARCH, hybrid GARCH-LSTM.
• Applications to sales/demand forecasting in retail, analytics for industrial IoT time-series data is preferred.
• Experience in NoSQL DBs, Hadoop, analytics tools: Power BI, Tableau, etc., and data pipelines for ML: Apache Spark Streaming, Storm etc., is preferred.
• Experience in RNN/LSTM, Gradient Boosted Machines, SVM, Ensemble techniques.
• Experience: 5 to 10 years.

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