Role & responsibilities
4 - 8 Years of relevant experience in the space
Expertise in mining AI/ML opportunities from open ended business problems and drive solution design/development while closely collaborating with engineering, product and business teams
Strong understanding of advanced data mining techniques, curating, processing and transforming data to produce sound datasets
Create great data stories with expertise in robust EDA and statistical inference. Experience in Experimentation design a big plus but should understands fundamentals of A/B testing
Strong understanding of the Machine Learning lifecycle - feature engineering,

training, validation, scaling, deployment, scoring, monitoring, and feedback loop. Exposure to Deep Learning applications and tools like TensorFlow, Theano, Torch, Caffe is a big plus
Experience with analytical programming languages, tools and libraries (Python a must) as well as Shell scripting
Very proficient is SQL and other relational databases.



Proficient in PySpark. Experience in using NoSQL databases. able to handle unstructured data with ease preferred
Experience in working with AWS/Azure/GCP ecosystems. MLOps tools experience a plus
2.

Perform comprehensive data explorations around to generate inquisitive insights and scope out the problem
Develop simplistic to advanced solutions to address the problem at hand. We believe in making swift (albeit sometimes marginal) impact to business KPIs and hence adopt an MVP approach to solution development
Build re-usable code analytical frameworks to address commonly occurring business questions
Perform 360-degree customer profiling and chance analyses to guide current product strategy. This is a nascent business and hence prospects to guide business strategy are plenty

📌 Senior Data Scientist Ahmedabad
🏢 Intellectual Capital HR Consulting
📍 Ahmedabad