Crisp Analytics - Data Scientist

Data Scientist (Unstructured)

What you will do :

- Drive business impact

- Collaborate and work with cross-functional business partners to identify gaps and structure problems

- Create meaningful presentations and analyses that deliver a story focused on insights, not just on data

- Synthesise methodology and data into actionable business strategy, and communicate findings to stakeholders

In other words, you will :

- Use latest techniques on large data sets to :

- Measure results and show key trends

- identify causal impact and attribution

- design and analyse experiments

- model and predict

- Write complex SQL queries for standard as well as ad hoc analysis

- Go to person for data questions

Requirements:

- Expertise in at least one of the following - conversational agent( NLU, NLG), image/video recognition

- PhD / M.Tech with strong exposure to Data Science and exposure to statistics/ Applied Math/Operations Research

- 2+ year relevant data science experience, with the ability to stretch beyond one's core field of expertise.

- Must have at least built one AI/ML use case from scratch, implemented and iterated the same for at least six months; must have deployed in production environment (mandatory).

- Proficiency in one core programming language, such as: R, Python, C/C++

- Experience with any of deep learning frameworks like TensorFlow, Theano, Keras, H2O, torch/pytorch, MX Net

- Proficiency with SQL and/or NoSQL

- Proficiency with data visualization tools Tableau, R-Shiny or any other

Nice to have:

- Familiarity with zero shot learning, transfer learning, unsupervised learning, reinforced learning, GANs

- Experience with AWS or Azure cloud computing environments

- Proficiency with a distributed computing platform (Hadoop, Spark, etc.)

- Experience querying and administering big data storage services

- Experience with general software release cycles / shipping machine learning or predictive analytics models at scale

Salary Offered : 3-9 LPA