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Mintel Data Science Engineer in Chicago, Illinois

Data Science Engineer

  • Location Chicago, Illinois

  • Date Posted 20th March 2019

  • Category IT

  • Job Type Full-time

  • Requisition ID 953


The Data Science Engineer, Mintel Futures is a core part of Mintel’s data science team that will have the opportunity to work on a wide array of initiatives across varying aspects of Mintel’s business and data. This individual will help manage the full analytics lifecycle of advanced projects; help to identify new, impactful ways to apply machine learning to Mintel’s data; work alongside data scientists and business stakeholders to implement solutions that provide valuable insights; and aide in the design and development of a modern data analytics environment.

What You Will Do:

  • Play an integral role in shaping the underlying technology environment for Mintel’s fast growing team of data scientists and data analysts

  • Assist in the acquisition and management of a variety of data sources for large-scale analysis

  • Identify opportunities for predictive modeling or other machine learning techniques and experiment with solutions that focus on adding value to our clients and analysts

  • Work alongside software engineers and other data scientists to ensure the proper deployment, management and monitoring of machine learning models and/or other data pipelines in Mintel’s production platforms

  • Grow the technical and engineering capabilities of other data scientists and data analysts on the team

  • Develop engineering best practices, documentation and process flows that facilitate collaboration and knowledge transfer

  • Continually learn - as a part of a fluid, innovation focused team, you will stay current on emerging data science and data engineering technologies

What We Are Looking For:

  • 3+ years professional experience with building data focused solutions (integrations, pipelines, data warehousing, etc.)

  • 1+ years professional experience as a data scientist or machine learning engineer preferred and/or having demonstrable analytical capability and working knowledge of data science principles

  • Proficient engineer with the ability to lead the deployment of machine learning or other analytical models

  • Expert level SQL skills and expert level proficiency in at least one programming language (Python, C++, Java, etc.)

  • Strong communication skills with the ability to converse with both technical and non-technical stakeholders

  • Team player with a collaborative nature

  • Strong work ethic with an inherent sense of ownership and responsibility

  • Experience building data solutions in at least one public cloud environment, AWS or GCP preferred

  • Advanced degree holder in a STEM or related quantitative discipline preferred

Equal Opportunity Employer:  Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets