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Koch Business Solutions India | Jobs | Data Scientist | BigDataKB.com | 31-03-22

Job Location: Bangalore


The Data Science Team at KM&T partners with trading groups to find practical applications for machine learning and other specialized technologies that contribute to our profitability. The Data Scientist will be responsible for leveraging large, complex datasets to gain an objective view of commodities markets. They will evaluate and develop trading strategies based on their insights and inform the development of analytical systems that streamline the process of generating ideas. Further, they will experiment with new techniques and datasets to expand the capabilities of the Data Science team.

Working on the Data Science Team at KM&T provides individuals many opportunities to own multiple projects simultaneously in a dynamic and fast-paced global trading environment.

Data Scientist will report to the Delivery Manager of the KTC and will be a part of Koch Minerals and Trading (KM&T), formerly called Koch Supply & Trading (KS&T). The individual, as a global team responsible for creating valuable solutions for KM&T and its customers. Koch Minerals & Trading companies offer global coverage and world-class market knowledge in diverse commodities – both in their physical and paper form. These companies are backed by worldwide resources and Koch Resources, LLC’s strong credit rating. Koch Supply & Trading companies have a unique, analysis- and relationship-based foundation that has become their trademark in the global marketplace. From worldwide locations, the companies’ traders, accounting professionals, market analysts, credit risk specialists, logistics specialists, and information technology professionals connect with international markets. To learn more, visit us at www.ksandt.com

Koch Industries is a privately held global organization with over 120,000 employees around the world, with subsidiaries involved in manufacturing, trading, and investments. Koch Technology Center (KTC) is being developed in India to extend its IT operations, as well as act as a hub for innovation in the IT function. As KTC rapidly scales up its operations in India, it’s employees will get opportunities to carve out a career path for themselves within the organization.

A Day In The Life Could Include:

(job responsibilities)

  • Expected to work closely with analysts, traders, developers, and other data scientists to develop powerful analysis, models, and analytical
  • solutions
  • Identify and collect relevant datasets along with Analysts and Developers
  • Design and upkeep explanatory data models
  • Design and evaluate trading strategies
  • Produce predictive models and maintain forecast datasets
  • Promote a culture of experimentation that challenges conventional financial modelling
  • Perform development tasks as planned in sprint board.
  • Actively participate in a team environment designing, developing, and modifying software applications, anticipate about 80% of the time will be spent on development activities

What You Will Need To Bring With You:

(experience & education required)

The successful candidate must have the following attributes:

  • Experience in working with time series data
  • Advanced analytical skills
  • High sense of urgency
  • Interpersonal skills to work directly with traders and analysts
  • Exceptional oral and written communication skills
  • Great team player
  • Ability to work independently and remain highly motivated and self-directed

Technical requirements:

  • 2+ years’ experience working with time series and advanced statistics such as Bayesian, hypothesis testing, pca etc.
  • Master’s degree in Data Science, Business Analytics, Statistics, Financial Engineering, or related field
  • Experience with visualization tools such as Tableau, Plotly, Power BI, etc.
  • Experience with programming Python and libraries such as NumPy, SciPy, pandas, matplotlib, seaborn, scikit-learn, keras/TensorFlow, statsmodel
  • Experience in designing experiments and conducting independent research

Other desirable requirements:

  • 2+ years’ experience in a commodity trading environment
  • Experience developing machine learning pipelines in cloud platforms (AWS, Azure, Google Cloud)
  • Experience with distributed computing, system design, and web development
  • Experience with Scrum/Agile/Kanban
  • Experience with source control
  • Experience with SQL or SQL like languages

What Will Put You Ahead:

(experience & education preferred)

  • Master degree in Data Science.
  • Certification in data science from a recognized institute.
  • Ideal candidate will have interest in learning to develop “cloud first” applications using native Amazon Web Services (AWS) and open-source technologies.
  • The ability to provide assistance with global trading activity which may require after-hours, US holiday or weekend hours in conjunction with global market closes

Apply Here

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