Data Scientist III

5 - 10 years

14 - 16 Lacs

Posted:23 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

About the Role:
As a Data Scientist for the person domain, your focus will be on improving and measuring the quality of our person disambiguation methodology.
You will work closely with our engineers, architects, product managers and other data scientists within the Person domain to continually improve person disambiguation algorithms and your base data will be millions of authors of scientific publications.
With data quality being vital to Elsevier s success, there is a strong focus on measuring and improving data quality and coverage. At the same time, the increasingly large volume of data requires you to maintain and develop systems and models that scale well. We tackle some of the hardest data science challenges to solve pressing customer needs and we are looking for a talented, enthusiastic, and collaborative colleague to join our ranks.
Responsibilities:-
  • You are passionate about the possibilities of creating value for customers by interconnecting data and improving the quality and richness of data at scale.
  • You like to work with others as part of a multidisciplinary team to achieve a common goal, and you are eager to contribute and put your ideas across.
  • Wiling to learn new things and come up with practical solutions to technical challenges.
  • An interest in the data you re working with. Our data is largely text based.
  • Hands-on experience developing (components of) large scale data science solutions.
  • Preferably, a formal qualification in computer science, computational linguistics, data science, machine learning, or other quantitative disciplines.
  • Demonstrable coding skills in Python.
  • Knowledge of applying machine learning techniques.
  • Experience working with data in files (e.g. csv or parquet)
  • An understanding of statistics for the purpose of quantitative analysis.
Requirements:-
  • Experience with Databricks and/or Spark or Pandas
  • Familiarity with tools such as Git or Jira
  • Familiarity with agile methodologies
  • Experience with NLP.
  • Experience with databases

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