Cloud Administrator

3 weeks ago

Kochi, India Mindcurv Technology Solutions Pvt. Ltd. Full time
Career Opportunities:
Senior Data Scientist
Job Description:
Note: Looking for somebody who can join within 30 Days.
About Mindcurv
We help our customers rethink their digital business, experiences, and technology to navigate the new digital reality. We do this by designing sustainable and accountable solutions for humans living in a digital world. Mindcurv holistically covers the market’s need to digitalise business processes and customer experiences and take advantage of the cloud following DevOps and agile principles.
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.

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