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About Company :
Birlasoft combines the power of domain, enterprise, and digital technologies to reimagine business processes for customers and their ecosystem. Its consultative and design thinking approach makes societies more productive by helping customers run businesses. As part of the multibillion-dollar diversified CKA Birla Group, Birlasoft with its 12,200+ professionals, is committed to continuing the Group’s 170-year heritage of building sustainable communities
Job Description :
To handle data analytics issues in our company, we are seeking a highly innovative data scientist to gather vast amounts of data from various sources, clean and analyze the data, develop solutions to problems, and interact with stakeholders.
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Data scientists use computation, statistical methods, and mathematical techniques to analyze raw data. This could entail developing solutions as well as filtering and processing data to arrive at insightful interpretations and conclusions.
Responsibilities:
- Design, develop, extend and maintain end-to-end data workflows and pipelines in Dataiku DSS.
- Collaborate with data scientists and analysts to operationalize machine learning models.
- Leverage Generative AI models and tools within Dataiku to build advanced AI-powered applications and analytics solutions.
- Integrate Dataiku with various data sources (databases, cloud storage, APIs).
- Develop and optimize SQL queries and Python/R scripts for data extraction and transformation across relational and NoSQL databases
- Work extensively with cloud data warehouses like Amazon Redshift and/or Snowflake for data ingestion, transformation, and analytics.
- Implement automation and scheduling of data workflows.
- Monitor and troubleshoot data pipelines to ensure data quality and reliability.
- Document technical solutions and best practices for data processing and analytics.
Desired Skills:
- Experience using data visualization tools.
- Experience with data querying languages, and statistical or mathematical software.
- Proficient in writing algorithms, and knowing when to apply them.
- Excellent understanding of statistics, multivariable calculus, and linear algebra.
- Outstanding communication skills.
