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Data Scientist

Remote: 
Full Remote
Contract: 
Full time
Work from: 
India

Offer summary

Qualifications:

3+ years of quantitative analytical experience, including hands-on analytics projects., At least 1 year of experience in Credit Risk and machine learning methodologies., Proficiency in Python and SQL for data mining and modeling projects., Strong consultative skills and ability to communicate complex analyses clearly..

Key responsibilities:

  • Conduct data quality assessments and market share analysis.
  • Perform complex statistical analysis and data integration from multiple platforms.
  • Work with various data types including credit, telecom, and demographic data.
  • Develop analytical solutions to address customer business issues.

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Green Clover Human Resources, Staffing & Recruiting Small startup https://green-clover.in/
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Job description

Perform necessary analysis, such as data quality assessment, recommendation of Generic Score which predicts customer’s portfolio, Market share analysis, competitor analysis etc. ·
Work extensively on various types of data like Credit, telecom and utility, demographic and other alternative data ·
Conduct complex statistical analysis under the supervision of Manager ·
Complex data assessment and integration from multiple platforms as required for analytical purposes
Desired traits •
3+ years professional level quantitative analytical experience, including conducting hands-on analytics projects using generalized regression models, Bayesian methods, clustering, and similar methodologies
At least 1 year of professional level quantitative analytical experience in Credit Risk, machine learning using random forest, gradient boosting, neural networks, support vector machine, and similar methodologies
Proficiency skill in hands-on data mining and modeling projects with Python and SQL.
Strong consultative acumen and ability to understand complex analytical solutions
Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
Ability to create new ideas for analytical solutions to address customer's business issues
Apt with MS Office components (Word, Excel, Access, PowerPoint) and Google G Suite Preferred Experience
Experience in cloud-based data engineering and/or machine learning with Google Cloud Platform, AWS, or Azure
Experience working with big data distributed computing tools (Hadoop Streaming, MapReduce, Spark)
Exposure to Visualization tools such as Spotfire a plus
Extensive knowledge in Credit Risk Models
Strong knowledge of credit bureau data is plus Technical Skills – Desirable
Basic knowledge of SAS
Strong knowledge of Python and SQL
Candidates with Google Cloud based machine learning, Spotfire and data engineering experience will get additional weightage

Required profile

Experience

Industry :
Human Resources, Staffing & Recruiting
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

Machine LearningCredit Risk ManagementSQL (Programming Language)Python (Programming Language)Data ModelingData MiningGoogle Cloud Platform (GCP)Microsoft AzureStatistical AnalysisAWS Cloud ServicesBayesian StatisticsRegression AnalysisCluster AnalysisApache SparkApache HadoopSAS (Software)Spotfire (Data Analytics Software)

Other Skills

  • Analytical Thinking
  • Communication
  • Problem Solving
Are you interested?

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