Socure India | Hiring | Data Scientist | Chennai | BigDataKB.com | 2022-09-28

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Job Location: Chennai

  • Implement machine learning, data mining, statistical, and graph-based algorithms designed to analyze massive data sets
  • Implement new data modeling solutions and improvements to existing solutions
  • Integrate new data sources and API third-party products in the main framework
  • Work with Big Data technologies using Spark
  • Provide analytical support to the data science team
  • Own and drive projects from conception to completion
  • Collaborate with data scientists, engineers and other key stakeholders
  • Manage feature engineering lifecycle including prototyping, validating, maintenance of features.
  • Partner with Cloud technologists to ensure proper implementation and usage of said algorithms
  • Work well in a fast-paced cross-functional environment
  • Analyze large data sets to develop multiple, custom models and algorithms to drive innovative correlations for fraud and acceptance data as well as social data

Qualifications:

  • BE/B.TECH/ME/MSc in computer science, industrial engineering, electrical engineering, operations research, mathematics, statistics or similar or equivalent work experience.
  • 2- 4 years of industry experience working in a similar role
  • Experience in data-driven algorithms in information retrieval, relevance, or machine learning and working with distributed systems.
  • Strong Python/R programming background
  • Big data tools using spark (Scala or Python) in distributed systems.
  • Good working knowledge of SQL
  • AWS (s3, emr, aws cli minimum)

Preferred:

  • Dashboard development experience (Dash, Bokeh, R Shiny)
  • Experience with data workflow managers such as Airflow, Drake, or Luigi
  • Experience in advanced analytics and developing machine learning models
  • Programming experience in Scala, Java
  • Experience with containerization (Docker)
  • Experience with cloud ecosystems such as Microsoft Azure, Google Cloud Platform or Amazon Web Services

Apply Here

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