Data Scientist IV(NCS/Job/ 1688)

A Bachelor's degree in Computer Science, Data Science, or a related field; a Master’s is a plus
● 6–8 years of experience in data science with a strong track record of building and deploying ML solutions at scale
● Deep understanding of core ML techniques — supervised, unsupervised, and semi-supervised learning — along with strong foundations in statistics and linear algebra
● Exposure to deep learning concepts and architectures (e.g., CNNs, RNNs, Transformers) and their practical applications
● Proficiency in Python and SQL, with experience in building data pipelines and analytical workflows
● Hands-on experience with large-scale data processing using Apache Spark, Hadoop/Hive, or cloud platforms such as GCP
● Strong programming fundamentals and experience writing clean, maintainable, and production-ready code
● Excellent analytical and problem-solving skills — the ability to extract actionable insights from messy
and high-volume data
● Solid grasp of statistical testing, hypothesis validation, and common pitfalls in experimental design
● Experience designing and interpreting A/B tests, including uplift measurement and segmentation
● Ability to work closely with product and engineering teams to translate business goals into scalable ML or data solutions
Bonus points for:
● Experience with reinforcement learning or sequence modeling techniques
● Contributions to ML libraries, internal tools, or research publications