TATarget
Lead Data Scientist
Bangalore ₹6-10 LPA Posted 14 Apr 2025
FULL TIME
Spark
Scala
Kafka
API Design
Hadoop
+1 more
Job Description
Position overview:
- Develop and deploy scalable deep learning models to improve experience of Target guest
- Architect and implement large-scale AI systems using test-driven development practices
- Build NLP technology for query and document analysis, processing, and understanding
- Create data pipelines for feature/label extraction and generation
- Conduct data analysis to identify opportunities and improve models
- Conduct research to advance the state-of-the-art machine learning and NLP technologies
- Contributing to the operations/building of AI pipelines
- Adopting Target's infrastructural platforms and operationalize tools and systems around them
- Mentor and partner with other engineers to develop software that meets business needs
- Follow agile methodology for software development and technical documentation
- Innovate constantly and keep systems up to date with current technologies
About you:
- 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience
- MS in Computer Science, Applied Mathematics, Statistics, Physics or equivalent work or industry experience
- 6+ years of experience in end-to-end application development, data exploration, data pipelining, API design, optimization of model latency
- 2 plus years of experience deploying Machine Learning algorithms into production environments - including model and system monitoring and troubleshooting
- Highly proficient programming in Java/ Scala and/ or Python
- Good understanding of Big Data tech - specifically Hadoop, Kafka, Spark
- Solid understanding of data analysis techniques, including data cleaning, preprocessing, and visualization
- Demonstrated ability collaborating with data scientists, software engineers and product managers to understand the business requirements and translate to machine learning solutions at scale
- Excellent communication skills with the ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives
- Self-driven and results oriented - able to meet tight timelines
