Data Scientist - Consulting Firm

The candidate must demonstrate proficiency in :

- Statistics, Machine Learning concepts and tools (R, Python, IBM SPSS)

- Deep Learning concepts and tool (LSTM, CNN and Tensorflow/Keras), Pyspark.

- Good understanding of NLP and building classification models using unstructured/text data

- The following end to end Data Science activities will be carried out.

- Understand Use case details and the ability to break down vague and complex problem statements in to workable point use cases.

- Data Collection: Sourcing Data from different Operational systems

- Data Preparation: Cleaning and Transformation

- Exploratory Data Analysis: Basic and Advanced data exploration

- Model Building: Design and Develop statistical models that can solve the use case.

- Model Evaluation: Use diagnostics of developed model to accept or reject the model, retraining of the model might be necessary.

- Perform tasks such as data ingestion, munging.

- Design and Build ML models basis Solution approach agreed by Lead/Manager.

- Perform tasks related to Operationalization - eg. wrapper script, REST service, Trigger, Monitoring