Data Scientist (Remote)

Experience : 3.00 + years

Salary : INR 2800000.00 / year (based on experience)

Expected Notice Period : 7 Days

Shift : (GMT+05 : 30) Asia / Kolkata (IST)

Opportunity Type : Remote

Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by : https : / / joinhorizons.com / )

• Note : This is a requirement for one of Uplers' client - An AI-driven platform that streamlines cash-flow analysis and loan decisioning)

What do you need for this opportunity

Must have skills required :

fintech domain, ML Platforms, Spark, TensorFlow, Theano., Java, Python, R, Tableau

An AI-driven platform that streamlines cash-flow analysis and loan decisioning is Looking for :

Role

Company is seeking a Data Scientist to be a key member of the technical team, responsible for designing and developing algorithms to be integrated into their products. Experience in implementing various types of machine learning models, including neural networks, linear regression, polynomial networks, and factorization machines, among others, is required. This position requires experience in developing algorithms that have been integrated into commercial products.

Responsibilities

Requirements

How to apply for this opportunity

About Uplers :

Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.

(Note : There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Skills Required

Java, Logistic Regression, Statistical Techniques, Hypothesis Testing, Unsupervised Learning, Tensorflow, supervised learning, theano , Linear Regression, Spark, Decision Trees, Principal Component Analysis, Python, feature selection , Machine Learning Algorithms