Hybrid Data Scientist – Shipping Analytics

Posted 3 weeks ago

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About the role

  • Work as part of analytics team based in Bangalore/Hyderabad/Gurgaon to develop/deploy new products
  • Work as an Individual Contributor and should be able to work well with the team
  • Participate in complex analytical projects and apply data science/engineering techniques to support new or existing data products
  • Support the team or management by producing quick-turnaround analysis, model development, and quality assurance for product development, consulting projects, and client presentations
  • Gather knowledge about the Maritime industry and its interrelationship with various economic and policy decisions
  • Work closely with the research team and product management team to take their inputs and develop a product

Requirements

  • 2-3 years of industrial/research experience in a Data Science/Engineering Team
  • 1-2 years of experience in working in time series forecasting
  • 1+ years of experience in working with AWS or Databricks
  • 1+ years of experience working with Big Data tools (Spark, PySpark, Cassandra, MongoDB etc.)
  • Experience working on end-to-end analytics project from requirements analysis till deployment of project
  • Ability to perform complex data analysis and statistical modelling in R/Python and/or Spark
  • Knowledge of RDBMS concepts and experience working with SQL
  • Understanding of data visualization principles and experience with data visualization tools such as Tableau
  • Master’s degree in a quantitative discipline (Computer Science, Mathematics, Econometrics, Engineering, Data Science)
  • In-depth knowledge of forecasting concepts such as S/ARIMA/X and good knowledge on implementing forecasting packages in R and Python
  • Excellent knowledge of Statistics, Machine Learning algorithms, Deep Neural Networks and Data Mining.

Benefits

  • Health & Wellness: Health care coverage designed for the mind and body.
  • Flexible Downtime: Generous time off helps keep you energized for your time on.
  • Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
  • Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
  • Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
  • Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.

Job title

Data Scientist – Shipping Analytics

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Postgraduate Degree

Location requirements

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