hireejobs
Register for Job
Hyderabad Jobs
Banglore Jobs
Chennai Jobs
Delhi Jobs
Ahmedabad Jobs
Mumbai Jobs
Pune Jobs
Vijayawada Jobs
Gurgaon Jobs
Noida Jobs
Oil & Gas Jobs
Banking Jobs
Construction Jobs
Top Management Jobs
IT - Software Jobs
Medical Healthcare Jobs
Purchase / Logistics Jobs
Sales
Ajax Jobs
Designing Jobs
ASP .NET Jobs
Java Jobs
MySQL Jobs
Sap hr Jobs
Software Testing Jobs
Html Jobs
IT Jobs
Logistics Jobs
Customer Service Jobs
Airport Jobs
Banking Jobs
Driver Jobs
Part Time Jobs
Civil Engineering Jobs
Accountant Jobs
Safety Officer Jobs
Nursing Jobs
Civil Engineering Jobs
Hospitality Jobs
Part Time Jobs
Security Jobs
Finance Jobs
Marketing Jobs
Shipping Jobs
Real Estate Jobs
Telecom Jobs

Data Scientist - ML

5.00 to 9.00 Years   Bangalore   26 Nov, 2021
JPMorgan
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryBanking / Financial Services
Functional AreaGeneral / Other Software,Sales / BD
EmploymentTypeFull-time

Job Description

The Senior Associate Data Scientist in Bangalore will be part of a globally distributed team, with data science and engineering partners in US and EMEA. He/she will help build robust and scalable solutions for various banking domains, and also enable the services to be deployed and integrated into existing business workflow. This is an exciting opportunity to work on data driven analytical solutions and have a profound influence on the business processes of a leading global bank.Key Requirements of the Role:

  • Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis, Operations Research).
  • Strong understanding of advanced data mining techniques, curating, processing and transforming data to produce sound datasets.
  • Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop.
  • Experience in analyzing complex problems and translating it into an analytical approach.
  • Experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly Detection, Pattern Detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, Deep Learning.
  • Experience with analytical programming languages, tools and libraries (Python ecosystem preferred, but R will be considered).
  • Experience in SQL and relational databases, Big Data technologies e.g. Spark/Hadoop and Cloud technologies.
  • Good understanding of programming best practices and building for re-use.
  • Strong communication, partnership and teamwork skills.
  • Ability to work in an extremely fast paced environment, meet deadlines, and perform at high standards with limited supervision.
, The Senior Associate Data Scientist in Bangalore will be part of a globally distributed team, with data science and engineering partners in US and EMEA. He/she will help build robust and scalable solutions for various banking domains, and also enable the services to be deployed and integrated into existing business workflow. This is an exciting opportunity to work on data driven analytical solutions and have a profound influence on the business processes of a leading global bank.Key Requirements of the Role:
  • Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis, Operations Research).
  • Strong understanding of advanced data mining techniques, curating, processing and transforming data to produce sound datasets.
  • Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop.
  • Experience in analyzing complex problems and translating it into an analytical approach.
  • Experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly Detection, Pattern Detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, Deep Learning.
  • Experience with analytical programming languages, tools and libraries (Python ecosystem preferred, but R will be considered).
  • Experience in SQL and relational databases, Big Data technologies e.g. Spark/Hadoop and Cloud technologies.
  • Good understanding of programming best practices and building for re-use.
  • Strong communication, partnership and teamwork skills.
  • Ability to work in an extremely fast paced environment, meet deadlines, and perform at high standards with limited supervision.
,

Keyskills :
machine learningpythondata analysissqlanalyticstime series analysisbig datadata miningtext miningtime seriesdata sciencedecision tree

APPLY NOW

Data Scientist - ML Related Jobs

© 2019 Hireejobs All Rights Reserved