Data Scientist

IT Product based Org.

Data Scientist

OfficeDay Innovation

Company

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Data Scientist

at IT Product based Org.

Agency job

via OfficeDay Innovation

3 - 5 yrs

₹10L - ₹12L / yr

Ahmedabad

Skills

Data Science

Machine Learning (ML)

Natural Language Processing (NLP)

Computer Vision

Deep Learning

Python

Neural networks

Support vector machine

Ensemble

Clustering

PostgreSQL

recommendation algorithm

3+ years of Experience majoring in applying AI/ML/ NLP / deep learning / data-driven statistical analysis & modelling solutions.
Programming skills in Python, knowledge in Statistics.
Hands-on experience developing supervised and unsupervised machine learning algorithms (regression, decision trees/random forest, neural networks, feature selection/reduction, clustering, parameter tuning, etc.). Familiarity with reinforcement learning is highly desirable.
Experience in the financial domain and familiarity with financial models are highly desirable.
Experience in image processing and computer vision.
Experience working with building data pipelines.
Good understanding of Data preparation, Model planning, Model training, Model validation, Model deployment and performance tuning.
Should have hands on experience with some of these methods: Regression, Decision Trees,CART, Random Forest, Boosting, Evolutionary Programming, Neural Networks, Support Vector Machines, Ensemble Methods, Association Rules, Principal Component Analysis, Clustering, ArtificiAl Intelligence
Should have experience in using larger data sets using Postgres Database.

3+ years of Experience majoring in applying AI/ML/ NLP / deep learning / data-driven statistical analysis & modelling solutions.
Programming skills in Python, knowledge in Statistics.
Hands-on experience developing supervised and unsupervised machine learning algorithms (regression, decision trees/random forest, neural networks, feature selection/reduction, clustering, parameter tuning, etc.). Familiarity with reinforcement learning is highly desirable.
Experience in the financial domain and familiarity with financial models are highly desirable.
Experience in image processing and computer vision.
Experience working with building data pipelines.
Good understanding of Data preparation, Model planning, Model training, Model validation, Model deployment and performance tuning.
Should have hands on experience with some of these methods: Regression, Decision Trees,CART, Random Forest, Boosting, Evolutionary Programming, Neural Networks, Support Vector Machines, Ensemble Methods, Association Rules, Principal Component Analysis, Clustering, ArtificiAl Intelligence
Should have experience in using larger data sets using Postgres Database.

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