Job Description

Responsible for implementation of advanced intelligence & analytics, data science & architecture solutions into organizations operations, products, and solutions.

Responsibilities

Interpret data, analyse results using statistical techniques and design solutions.
Implement databases, data collection systems, data analytics solutions.
Analyse and build Statistical, machine learning and deep learning models.

Familiarity in MLOps.

Working experience with GenAI models.
Review data from primary or secondary data sources and maintain databases/data systems.
Identify, analyse, and interpret trends or patterns in complex data sets.
Preparing relevant data to use in analytics applications.
Using various types of analytics tools to detect patterns, trends, and relationships in data sets.
Creating data visualizations, dashboards and reports to communicate their findings.
Review the data quality at source against the Data quality rules. Root cause Analysis of the difference in Gap of the measured Data quality against target.
Design solutions for API Enablement with Data Models
Test and maintain data pipeline.

Minimum qualification & experience

experience as a data scientist or data analyst or data architect

Desired Skill sets

Experienced in Data Science and Data Analysis.
Hands on Python Programming/ SQL. The ability to aggregate data from disparate sources and prepare it for analysis.

Hands on with processing Big Data as well as familiarity with GPU programming using python.
experience with data visualization tools, such as Grafana, Tableau and Power BI.
experience with using statistical approaches to solve analytics problems.
familiarity with common data science and machine learning techniques,