Mount Talent Consulting | Hiring | Lead Data Scientist | BigDataKB.com | 2022-09-16

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Job Location: Bangalore Rural

Hiring for Hidden

From 7 to 9 year(s) of experience
₹ 20,00,000 – 35,00,000 P.A.
Bangalore Rural, Delhi / NCR

Job Description

JOB TITLE – Data Analyst (Data Scientist) Lead


JOB FAMILY –
Analytics & AI


COUNTRY –
India


CITY –
Bangalore , New Delhi

This is for one of the top most MNC in India


mail at manjeet.kaur@mounttalent.com .


YOU’RE GOOD AT

  • Should have 6-8 years of relevant work experience
  • Proficiency in Python and experience with ML libraries and frameworks like Scikit-learn, H2O or Spark ML, NumPy, Pandas etc.
  • Develop and improve predictive models to optimize the user experience and operational efficiency
  • Experience in machine learning, supervised and unsupervised: Time-series, Classification, Decision Trees, Random Forest
  • Sentiment analysis and data / text mining using NLP and services like Amazon Comprehend and opensource libraries like scatter text, spaCy etc.
  • Must understand API integration using Python for extracting data from different sources
  • Experience with Snowflake, SQL, and other relational databases
  • Professional experience in building robust data pipelines using ETL tools is must (e.g., Alteryx, Talend etc.)
  • Experience in data visualization using Tableau and Python libraries like Plotly, Seaborn, Matplotlib
  • Knowledge of DataRobot, Azure or AWS AI/ML will be a plus
  • Experience in business intelligence architecture and should have worked upon data visualization tools like Tableau, PowerBI, Qlik etc. with understanding of end-to-end BI technical architecture
  • Strong analytics concepts and have applied the same in past projects (example: data correlation, pareto, market-basket analysis, forecasting, creating complex visuals like sunburst, multi-layered maps, usage of tableau extensions etc.)
  • Strong understanding of Tableaus new features, LOD functions, data blending, logical/physical joins, row level security, Windows calculations with usage of Tableau extensions


YOU BRING (EXPERIENCE & QUALIFICATIONS)

  • Should have 8+ years of relevant work experience in Data & Analytics
  • Define architecture and design for the development, evolution, and transformation of our data foundations
  • Design databases, architectures, data pipelines e.g., extract-transfer-load (ETL) processes and facilitate customized (statistical) analyses
  • Creating data models and pipelines supporting BI, client reporting and Artificial Intelligence / Machine Learning projects
  • Professional experience and can provide guidance in building robust data pipelines using ETL tools is must (e.g., Alteryx, Talend etc.) and certification would be a plus
  • Knowledge of scripting languages, such as Python or PowerShell
  • Experience working on with cloud warehouses like: Snowflake and other relational databases like SQL, etc.
  • Understanding of analytic Cloud modernized data architecture and data modeling concepts and principles, including Cloud data lakes, warehouses, and marts,
  • Understanding of dimensional modeling, star schemas, real-time and batch ETL/ELT
  • Prior experience in Azure and AWS cloud environments building data pipelines
  • Demonstrated experience with Analytics implementations and/or data and reporting projects
  • Experience in extracting data using REST APIs and from different sources
  • Experience working across squads in an Agile model

If interested please share resume at manjeet.kaur@mounttalent.com


Role:
Data Science & Analytics – Other


Salary:
20,00,000 – 35,00,000 P.A.

Industry:IT Services & Consulting


Functional Area:
Data Science & Analytics


Role Category:
Data Science & Analytics – Other


Employment Type:
Full Time, Permanent

Key Skills
Predictive ModelingPython

Education


UG:
Graduation Not Required


Company Profile

Mount Talent Consulting Private Limited

This is for one of the top most MNC in India

Company Info
X


Contact Company:
Mount Talent Consulting Private Limited

Address:Gurgaon/ Bangalore

Apply Here

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