Data Scientist working at HP analyzing complex data sets using statistical techniques. Developing data - driven models and insights to improve organizational performance while mentoring project teams.
About the role
- Data Scientist developing insights using machine learning techniques in shipping analytics. Collaborating with analytics team to deliver products based on customer requirements.
Responsibilities
- 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
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