Data Scientist - Kolkata, India - Nexval Infotech

Description

Data Scientist:

Data Collection, Pre-processing, and Analysis

Building trainable and deployable models to address business problems

We are looking for an experienced Data Scientist to analyse large amounts of data and to provide

expertise, along with natural curiosity and a creative mind. While mining, interpreting, and cleaning

our data, this person will be relied on to ask questions, connect the dots, and uncover hidden

opportunities for realizing the data's full potential. As part of a team of specialists, the data scientist

will "slice and dice" data using various methods and create new visions for the future.


Objectives:

Collaborate with product design and engineering teams to develop an understanding of

needs of the organization.
Research and devise innovative machine learning models for deployment
Communicate findings to all stakeholders
Keep current with technical and industry developments


Responsibilities:

Serve as a data scientist to identify and create new trained machine learning models that

can be leveraged and deployed through our product capabilities, and work closely with the

engineering team in the development of data products

Execute analytical experiments to help solve problems across various domains and industries

Identify relevant data sources and sets to mine for client business needs, and collect large

structured and unstructured datasets and variables

Devise and utilize algorithms and models to mine big-data stores; perform data and error

analysis to improve models; clean and validate data for uniformity and accuracy

Analyse and develop trained classification models utilizing deep Conventional Neural

Networks, information extraction from structured and unstructured text documents through

Natural Language Processing, using feature extraction models for object identifications

through documents etc.

Analyse data for trends and patterns, and interpret data with clear objectives in mind

Implement analytical models in production by collaborating with software developers and

machine-learning engineers


Required skills and qualifications:

4-5 years of experience in data science

Proficiency with data mining, mathematics, and statistical analysis including knowledge of

statistical tests, distributions, regression, maximum likelihood estimators, etc.

Experience with statistical programming languages like R, Python, and database query

languages like SQL, Hive, Pig is desirable. (Familiarity with Scala, Java or C++ is an asset)

Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g.

Hadoop) _(added bonus)_

Ability to work effectively in a dynamic, research-oriented group that has several concurrent

projects.


Preferred skills and qualifications
Bachelor's degree (or equivalent) in statistics, applied mathematics, or related discipline

Professional certification