
Data Scientist
Role & responsibilities:
- Collect and analyze large sets of structured and unstructured data
- Develop predictive models and algorithms to support business decisions Selecting/engineering features, building and optimizing Statistical / ML models
- Support moving models to production, by creating quality code modules that can be seamlessly integrated into existing systems
- Support the development and maintenance of data pipelines and infrastructure
- Communicate insights and findings to stakeholders, both technical and non-technical
- Collaborate with cross-functional teams to integrate data into business processes
- Stay up-to-date with industry trends and advancements in Data Science and Analytics
- Work on diverse data analytics-related projects to address varied business requirements and challenges
Skills Required:
- Strong mathematical and coding aptitude.
- Hands on exposure to common data science toolkits including comfort in Python or R
- Good understanding of data querying using SQL
- Exposure to data visualization tools and techniques.
- Good applied statistical skills and fundamental understanding of classification / regression models
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for data-related services.
- Ability to communicate advanced analytic outputs clearly, adapting according to the audience
Preferred candidate profile:
- Graduate degree in Data Science/ Computer Science /Mathematics/ Engineering with minimum 60% aggregate from a reputed institute.
- Post-Graduate degree in Data Science with minimum 60% aggregate preferred.
- Certifications in ML/AI/Big Data/Cloud Analytics will be an added advantage
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