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Data Scientist @ Markit

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 Data Scientist

Job Description

Data Scientist

Summary

The Gas, Power, and Energy Futures (GPE) team at IHS Markit is seeking an individual with significant technical skillsets to assist researchers, developers, and data scientists in handling, cleaning, and transforming data within a cloud environment. Prospects must have strong python and SQL experience and familiarity with AWS cloud computing tools. Individuals with some knowledge or experience working in electric power or gas markets in any country are preferred.

Core Responsibilities

  • Assisting researchers, data scientists, and developers with a wide variety of tasks to further the role of data science in producing actionable insights for researchers within GPE.
  • Maintenance of existing data science platforms within GPE
  • Building data science support tools for existing products
  • Dynamically evaluate model quality, model drift, data quality, automatically cleaning and transforming data
  • QA and maintenance of all associated datasets and pipelines on diverse platforms including the IHS Markit Datalake and the AWS cloud environment

Development

  • Build new big data modeling tools to support internal research, consulting activity, and new or existing products
  • Expand existing products and analytics with new data streams and analytical layers

Exploratory Data Analytics

  • Build novel or functional data interfaces and views for research teams to promote insights for clients
  • Conduct exploratory data analysis (distributions, cleanliness, statistical tests) on all large GPE datasets.

Ancillary Responsibilities

  • Assist Researchers
  • Assist research team with transition and modernization of data infrastructure around existing internal analytical models
  • Onboard and support researchers migrating to cloud solutions and new technologies
  • Work with researchers to understand data volume and structuring challenges to bring more data into GPE and the AWS cloud platform

Required Knowledge and Skillsets

  • BA in Mathematics, Computer Science, Computational Engineering, Information Science, or related field (MS preferred) AND 3+ years of experience deriving insight from large datasets in a commercial environment
  • Portfolio of work (git) that demonstrates advanced knowledge of handling, transforming, and ingesting data in Python and SQL to produce insight.
  • Advanced knowledge of Python 3
  • Git bash and embedded git interfaces
  • Pyspark, numpy, pandas, ODBC, matplotlib or similar
  • Advanced knowledge of SQL
  • Particularly T-SQL and PostgreSQL, or any ANSI SQL language
  • Experience working in an AWS cloud environment or other cloud environment (Google, Azure, etc)
  • Particularly Sagemaker, S3 I/O, Elastic Compute
  • Strong data visualization skills including experience with PowerBI
  • Strong time series data skills including demonstrated experience collecting, cleaning, and transforming large volumes of data efficiently using dataframes and lazy evaluation engines.

Preferred Skills

  • Experience with or knowledge of the operation of electric power and/or natural gas production, storage, and transportation systems.
  • Experience with or knowledge of the structure of North American power and gas markets
  • Some experience with statistical or mathematical computing environments like Matlab, Julia, or E-views
  • Experience working with Snowflake
  • Experience using Azure Dev Ops or working with agile software development tools.
  • Experience visualizing data with R-shiny, d3.js, or other python based tools.
  • Experience working with cloud analytics engines (Spark) and software libraries for large scale cloud computing (Hadoop).

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Inclusion and diversity are critical to the success of IHS Markit, and we actively encourage applications from people of all backgrounds. We are committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, status as a protected veteran, or any other protected category. For more information on the many ways in which we enthusiastically support inclusion and diversity efforts for both candidates and employees, please access our Inclusion & Diversity Statement here .

We are proud to provide reasonable accommodations to applicants with disabilities. If you are interested in applying for employment with IHS Markit and need special assistance or an accommodation to use our website or to apply for a position, please contact or call +1 212 849 0***. Determination on requests for reasonable accommodation are considered on a case-by-case basis. This contact information (email and phone) is intended for application assistance and accommodation requests only. We are unable to accept resumes or provide information about application status through the phone number or email address above. Resumes are only accepted through the online application process, and only qualified candidates will receive consideration and follow-up.

IHS Markit maintains a substance-free workplace; employees may be asked to submit to a drug test (where permitted by law). In addition, as a federal contractor in the United States, the company participates in the E-Verify Program to confirm eligibility to work.

For information please click on the following links:

IHS Markit Business Code of Conduct
Right to Work
EEO is the Law
EEO is the Law Supplement
Pay Transparency

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Current Colleagues

If you are currently employed by IHS Markit, please apply internally via the Workday internal careers site.

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Employement Category:

Employement Type: Full time
Industry: IT - Software
Role Category: Statistics / Analytics
Functional Area: Not Applicable
Role/Responsibilies: Data Scientist

Contact Details:

Company: Markit India Services
Location(s): Other Karnataka

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