Work with enterprise/application/solution architects, product architects, product owners, other data scientists and engineers to bring Big Data and data science R&D projects to a scalable form where they can be deployed into production
Develops and maintains scalable predictive models and drive insights that can be of value to the business
Demonstrate technical expertise and provide guidance to business stakeholders on how to gain value from the data science initiatives
Understanding of conceptual, logical, and physical architectures for cloud-based data solutions AWS preferred.
Develop end-to-end solutions and frameworks for such projects. Monitor and track effectivenessDefine best practices & frameworks for capabilities across data and analytics landscape.
Designs and evaluates open source and vendor tools for data lineage
Works closely with all business units and engineering teams to develop strategy for consumption of insights
Document the processes and maintain code repositories in Github Requirements
Experience with Python(preferred), Shell Scripting and/or R and SQL
Experience working with a data pipeline in the public cloud (AWS highly preferred).
Data Visualization: any of Tableau (preferred), PowerBI, QlikView
At least 3-5 years of data science experience
Experience in eCommerce, Retail & Finance is preferred
In-depth understanding of statistical and predictive techniques like regression, classification and forecasting
Knowledge of techniques such as but not limited to Linear and Logistic regression, Random Forest, Boosting and Bagging techniques, SVM, Clustering and time series forecasting
Familiarity with data visualization tools
Strong interpersonal and management skills.
Excellent verbal and written communication skills.
Enterprise Database: Oracle, SQL Server
Retail industry knowledge and experience required
Source control knowledge: GitHub Agile / Scrum experience preferred
To be able to work in a fast-paced agile development environment
Bachelors degree in a Mathematical subject (Computer Science / Math / Statistics / Economics)
Employement Category:
Employement Type: Full timeIndustry: Others Role Category: Application Programming / Maintenance Functional Area: Not ApplicableRole/Responsibilies: Data Scientist
Apar Innosys is a leading provider of information technology and consulting services and dedicated to helping the world’s leading companies build stronger, new age, digital businesses