Data Analyst

The Data Analyst role :

- Identifies business needs

- builds analytical tools

- Lead the team of data analyst and data scientists on model development

- Ensure traceability and versioning of datasets, models & evaluation pipelines

- Design, prototype, build and maintain APIs for consumption of machine learning models at scale.

- Facilitate the development and deployment of POC machine learning systems

- Perform Data cleansing activities such as data cleaning, merging and enrichment etc.

- Perform feature engineering through extracting meaningful features from measured and/or derived data

- Perform exploratory and targeted data analyses to get key insights

- Build Stochastic and Machine learning algorithms that potentially address business problems

- Using standard methodologies framework to ensure data quality and reconciliation checks are in place and are transparent to everyone

- Interact with Business and create smart signals for VRM/RMs communication with customers

- Set up the process and continuous monitoring the performance of signals and VRMs and RM agents

- Lead the team of data analyst and data scientists on model development to containerize and build out the deployment pipelines for new models

- Lead and implement Machine Learning projects from initiation through completion with particular focus on automated deployment and ensuring optimized performance.

- Maintain and optimize the machine learning/deep learning models developed by the Data Scientist and ensure seamless deployment while enabling model tracking, model experimentation and model automation

Tools : Python, Pyspark, SQL