Understands business problems and designs end-to-end analytics use cases
Develops complex models and algorithms that drive innovation throughout the organization. This may include improving on-time performance, network planning, etc.,
Conducts advanced statistical analysis to provide actionable insights, identify trends, and measure performance
Collaborates with model developers to implement and deploy scalable solutions
Provides thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders
Qualification Other Attributes:
8-15 years experience in a statistical and/or data science role
Proven experience as a Data Scientist or similar role
Strong organizational and leadership skills
Degree in Computer Science, Data Science, Mathematics, or similar field
Deep knowledge and experience in Large Language Models (LLM)
Strong knowledge on Generative AI
Deep knowledge of machine learning, statistics, optimization or related field
Experience in Linear and non-Linear Regression models including Multiple and Multivariate
Experience in Classification models including Ensemble techniques
Experience in Unsupervised models including K-Means, DBSCAN, LOF
Rich Experience in NLP techniques
Experience in Deep Learning techniques like CNN, RNN, GAN, Markov etc (Any 3 or 4)
Strong real-time experience with atleast one of the machine language softwares like R, Python, Matlab is mandatory
Good knowledge in Explainable AI
Experience working with large data sets, simulation/ optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.)
Excellent written and verbal communication skills along with strong desire to work in cross functional teams
Attitude to thrive in a fun, fast-paced start-up like environment
Additional advantage of having experience in semi, unstructured databases like MongoDB, Cassandra, ArangoDB, Couchbase, GraphDB, etc