data scientist

data scientist

  • Anywhere

Company Name:-
CRED

Job Location:-
Bengaluru, Karnataka

Job Summary:-
what is CRED?
CRED is an exclusive community for India’s most trustworthy and creditworthy individuals, where the members are rewarded for good financial behavior.

CRED was born out of a need to bring back the focus on a long lost virtue, one of trust, the idea being to create a community centered around this virtue.

a community that constantly strives to become more virtuous in this regard till they finally scale their behavior to create a utopia where being trustworthy is the norm and not the exception.

to build a community like this requires a community of its own; a community special in its own way, working towards making this vision come true.

here’s a thought experiment: what do you get when you put a group of incredibly passionate and driven people and entrust them with the complete freedom to chase down their goals in a completely uninhibited manner? answer: you get something close to what we have at CRED; CRED just has it better.

here’s what will be in store for you at CRED once you join as a part of the team
what will you do:
own end-to-end business problems and metrics, build and implement ML solutions using cutting-edge technology.

create scalable solutions to business problems using statistical techniques, machine learning, and NLP
design, experiment and evaluate highly innovative models for predictive learning
work closely with software engineering teams to drive real-time model experiments, implementations, and new feature creations
establish scalable, efficient, and automated processes for large-scale data analysis, model development, deployment, experimentation, and evaluation.

research and implement novel machine learning and statistical approaches
publish and/or talk about your work at external conferences.

you should apply If you have:
advanced degree in statistics/maths/computer science.

in-depth understanding of modern machine learning techniques and their mathematical underpinnings.

demonstrated ability to build PoCs for complex, ambiguous problems and scale them up.

strong programming skills (Python, Java, or Scala preferred).

high proficiency in at least one of the following broad areas: machine learning, statistical modeling/inference, information retrieval, data mining, NLP
how is lif

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