Understand business needs and formulate formal problem definitions (with corresponding metrics).
Collect relevant data from production systems/Use crawling and parsing infrastructure to put together data sets.
Survey academic literature and identify potential approaches for exploration.
Craft, conduct and analyze experiments to evaluate models/algorithms.
Communicate findings and take algorithms/models to production”
Salary: Not Disclosed by Recruiter
Industry:IT-Software / Software Services
Functional Area:Analytics & Business Intelligence
Role Category:Analytics & BI
Machine Learning Data Scientist Hadoop MapReduce HDFS Spark Scalding Scala
Desired Candidate Profile:
UG: B.Tech/B.E. – Any Specialization
PG:M.Tech – Any Specialization
Doctorate:Doctorate Not Required
Mathematical maturity to critically analyze academic literature from venues such as KDD, ICDM, SDM, ICML and NIP
Ability to propose hypothesis and design experiments in the context of specific problems.
Should come from a strong engineering background
Good overlap with Indix Data tech stack such as Hadoop, MapReduce, HDFS, Spark, Scalding, Scala/Python/C++
A scientific temperament that seeks to rigorously validate hypothesis/ideas.
Ability and preference to work in a group rather than individually.
Good at explaining/communicating complex ideas/concepts both verbal and written.
Dedication and diligence in understanding the application domain, collecting/cleaning data and conducting experiments.
Creativity in model and algorithm development.
An obsession to develop algorithms/models that directly impact business.
SPEED Consulting India Pvt Ltd
Leading client of SPEED Consulting India Pvt Ltd