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 : Python, Pyspark, SQL

(ref : hirist.tech)