Data Scientist

at Cubera Tech India Pvt Ltd

Data Scientist

Cubera Tech India Pvt Ltd

Company

Home

Data Scientist

at Cubera Tech India Pvt Ltd

Posted by Surabhi Koushik

2 - 3 yrs

₹24L - ₹35L / yr

Bengaluru (Bangalore)

Skills

Data Science

Machine Learning (ML)

Natural Language Processing (NLP)

Computer Vision

SQL

TensorFlow

PyTorch

NumPy

pandas

matplotlib

recommendation algorithm

Data Scientist

Cubera is a data company revolutionizing big data analytics and Adtech through data share value principles wherein the users entrust their data to us. We refine the art of understanding, processing, extracting, and evaluating the data that is entrusted to us. We are a gateway for brands to increase their lead efficiency as the world moves towards web3.

What you’ll do?

Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.
Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation, and serving.
Research new and innovative machine learning approaches.
Perform hands-on analysis and modeling of enormous data sets to develop insights that increase Ad Traffic and Campaign Efficacy.
Collaborate with other data scientists, data engineers, product managers, and business stakeholders to build well-crafted, pragmatic data products.
Actively take on new projects and constantly try to improve the existing models and infrastructure necessary for offline and online experimentation and iteration.
Work with your team on ambiguous problem areas in existing or new ML initiatives

What are we looking for?

Ability to write a SQL query to pull the data you need.
Fluency in Python and familiarity with its scientific stack such as numpy, pandas, scikit learn, matplotlib.
Experience in Tensorflow and/or R Modelling and/or PyTorch
Ability to understand a business problem and translate, and structure it into a data science problem.

Job Category: Data Science

Job Type: Full Time

Job Location: Bangalore

Data Scientist

What you’ll do?

Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.
Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation, and serving.
Research new and innovative machine learning approaches.
Perform hands-on analysis and modeling of enormous data sets to develop insights that increase Ad Traffic and Campaign Efficacy.
Collaborate with other data scientists, data engineers, product managers, and business stakeholders to build well-crafted, pragmatic data products.
Actively take on new projects and constantly try to improve the existing models and infrastructure necessary for offline and online experimentation and iteration.
Work with your team on ambiguous problem areas in existing or new ML initiatives

What are we looking for?

Ability to write a SQL query to pull the data you need.
Fluency in Python and familiarity with its scientific stack such as numpy, pandas, scikit learn, matplotlib.
Experience in Tensorflow and/or R Modelling and/or PyTorch
Ability to understand a business problem and translate, and structure it into a data science problem.

Job Category: Data Science

Job Type: Full Time

Job Location: Bangalore

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About Cubera Tech India Pvt Ltd

Founded :

2015

Type :

Products & Services

Size :

20-100

Stage :

Profitable

About

CuberaTech is a data company revolutionizing Big Data Analytics through a data value share paradigm, where the users entrust their data to us. Our deployment of deep learning techniques enables us to harness this data making us a source of the richest Zero party data. Further, by stitching together all the relevant pieces of data from zero, first, and second-party sources, we enable advertisers to define and create custom audiences to maximise the programmatic ROAS.

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