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Data Scientist

2 months ago

agra, India Dreamz Consultants Full time

A client of Dreamz and a Global IT Services and Consulting Company requires -


Senior Data Scientist

Cloud infrastructure & managed services - India - Full Time

Locations - Trivandrum, Cochin and Coimbatore


Your role​

​

The person is expected to be hands-on to deliver Data Science projects undertaken in the

advanced analytics space. They must have a proven ability to drive business results with their

data-based insights. They must be comfortable working with a wide range of stakeholders

and functional/tech teams. The right candidate will have a passion for discovering solutions

hidden in large data sets and working with stakeholders to improve business outcomes.


Have experience working as a Data scientist in the context of Marketing (must have)

Have worked in delivering use cases for the Automotive sector (good to have)

Identify valuable data sources and collection processes

Supervise preprocessing of structured and unstructured data

Analyze large amounts of information to discover trends and patterns

Build ML models using various machine-learning algorithms

Present information using data visualization techniques

Collaborate with Data engineering and product development teams

Hands-on knowledge of implementing various AI algorithms and best-fit scenarios.


Who you are

3-5 years’ experience in Analytics systems/program delivery. At least 2 Big Data or

Advanced Analytics project implementation experience

Hands-on experience in Python. Knowledge of R, Pyspark and SQL is an added bonus.

Knowledge of a variety of machine learning techniques (clustering, decision tree learning,

artificial neural networks, etc.) and their real-world advantages/drawbacks

Knowledge of advanced statistical techniques and concepts (regression, properties of

distributions, statistical tests and proper usage, etc.) and experience with applications.

Hands-on experience in the GCP platform (3+ years) (must have).

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

Strong math skills (e.g. statistics, algebra)

Excellent communication and presentation skills