REBIT Recruitment 2021 for Senior Data Scientist in Navi Mumbai

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REBIT Recruitment 2021 for Senior Data Scientist in Navi Mumbai

Orgganization Name REBIT
Position Data Scientist
Total No of Vacancy
Job Location Navi Mumbai, Maharashtra
Pay Scale - 45700 / MONTH
Qualification B.E/B.Tech, B.Sc, MCA
Job Last Update On June 15, 2021
Application Ending Date 05/25/2021
Official Website https://rebit.org.in/

REBIT Recruitment 2021 for Senior Data Scientist in Navi Mumbai Candidates who have applied for the positions in last 6 months are advised not to reapply. Positions are based in Mumbai unless specifically mentioned in the Job description. Employment is on a fixed term, full time basis, exclusively for ReBIT, initially for a period of five years, extendable by mutual agreement. The employment model has been specifically chosen to attract top talent with benefits and compensation, on par with the industry standard.

Those candidates who are Only Interested and educationally and another requirement qualification has been fulfilled. This Candidate must apply through the Application details given below, Before applying please verify. the job details from the official website and job notification full details has given below for REBIT Recruitment 2021 for Senior Data Scientist in Navi Mumbai

Qualification & Eligibility :

Education BSc/BA/BE/BTech/MCA in Computer Science, Engineering or Mathematics or Statistics or relevant field; graduate degree in Data Science or other quantitative field is preferred

 

Relevant Master’s degree preferred

Experience

5-8 years of relevant industry experience

Industry

Information Technology/BSFI

Skills and Qualifications

  1. Proven industry experience as a Data Science and Machine Leaning Engineer
  2. Should have practical hands-on experience in managing and delivering 2 to 4 projects in AI/ML/Analytics projects preferably in BFSI domain
  3. Experience on dimensionality reductionality concepts like PCA, Filters, Ensemble methods, Backward/Forward elimination, feature abstraction
  4. Understanding of data structures, data modeling, data mining and software architecture
  5. Deep knowledge in mathematics and statistics or operation research.
  6. Hands-on experience in Python or R, SQL and/or NoSQL databases; familiarity with Scala, Java or C++ is an asset
  7. Operational experience with machine learning frameworks (like Keras/ Tensorflow/ PyTorch/PyCharm/Kite) and libraries (like scikit-learn)
  8. Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop, Spark, Kafka, etc) would be a plus
  9. Image Processing Knowledge would be a plus
  10. Should have NLP experience
  11. Understanding of Ontologies, Explainable-AI and Compliance-AI will be a plus
  12. Automation of machine learning model development processes
  13. Outstanding analytical and problem-solving aptitude
  14. Excellent communication and presentation skills
  15. Industry certifications and fulltime of minimum 1 year course from reputed institute

The incumbent should possess excellent analytical skills and proficiency in mathematics and statistics. Critical thinking and problem-solving skills are essential for interpreting data.

The incumbent should be able to technically lead/guide a team of 3 to 5 Data Scientists, while contributing individually. The candidate should be hands-on.

Application Fee for REBIT Recruitment 2021 for Senior Data Scientist in Navi Mumbai

NIL

All The Details About How To Apply, Qualifications, Vacancies Details explain in details in below please read carefully before applying

Selection Procedure of  REBIT Recruitment 2021 for Senior Data Scientist in Navi Mumbai:

Interview

Note * If you want to know anything regarding this job post let us know in the comment section Alternatively, you can directly contact us through contacting us

Note* Please before apply please check the notification for confirmation and visit the official website for more information

Application Procedure:

Have to Apply through Official Website Link in the Below

Responsibilities

  • Identify valuable data sources and automate collection processes
  • Undertake preprocessing of structured and unstructured data
  • Undertake Data wrangling and cleaning
  • Analyze large amounts of information to discover trends and patterns
  • With varied use cases the candidate should be comfortable to work on python, scikit-learn, OpenCV, NLTK, CNN, RNN, LSTM, pytorch while using GPU resources.
  • Perform statistical analysis and fine-tuning using test results
  • Train and retrain systems when necessary
  • Extend existing ML libraries and frameworks
  • Create and maintain optimal data pipeline architecture
  • Combine models through ensemble modeling
  • Propose solutions and strategies to business challenges
  • Collaborate with engineering and product development teams
  • Identify valuable data sources and automate collection processes
  • Undertake preprocessing of structured and unstructured data
  • Analyze large amounts of information to discover trends and patterns
  • Perform statistical analysis and fine-tuning using test results
  • Train and retrain systems when necessary
  • Extend existing ML libraries and frameworks
  • Create and maintain optimal data pipeline architecture
  • Combine models through ensemble modeling
  • Propose solutions and strategies to business challenges
  • Collaborate with engineering and product development teams
  • Able to manage a team of 3 to 5 members
  • Able to deliver the individual and team members artefacts independently
  • Should have business expertise:
  • Data landscape understanding
  • Solution conceptualization
  • Understanding of business context
  • Business benefit estimation
  • Change management
  • Interaction with senior leaders and business stakeholders

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