
Data Scientist
2 days ago
**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
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