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Junior Data Scientist

New York, New York
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Job Description:


What makes Gartner Research & Advisory a GREAT fit for you? When you join Gartner, you’ll be part of a leading-edge team that values expert insights, bold ideas and intellectual courage. You’ll deliver must-have research through compelling client interactions, and contribute to our double-digit growth by providing clients the unbiased insight and advice they need to make the right decisions every day. Through constant learning, discovery and collaboration, you’ll help clients deliver on their mission-critical priorities, grow your career and increase your industry impact. We value hard workers — and reward you with unlimited opportunity. If you’re looking to explore what’s next in technology and business, Gartner is looking for you.

Responsibilities Include:

  • Analysis: Ad hoc scripts to extract meaning from the underlying data and answer relevant business questions

  • Data Transformation: Convert raw data into usable metrics. Can include cleaning, interpolation, rollups, stats, and mashups of multiple data sources

  • Visual Storytelling: Surface insights via innovative data visualization leveraging internal tools like Tableau, Periscope and open source technologies such as interactive D3.js

  • Prototyping: Integrating standard reporting processes into basic UI made using web app frameworks such as Flask.

  • Automation: Deploy standardized processes to AWS to execute on a regular schedule

Required qualifications & skills:

  • Bachelor’s Degree in fields such as Statistics, Data Science, Economics, Social Sciences etc.

  • Strong Python (specially Pandas) and SQL skills

  • Good communication skills - ability to communicate findings from analysis in a logically structured manner

  • Comfort with Python GUI libraries and frameworks like Flask

  • Ability to transfer code into reusable Git Repositories along with documentation for internal team use

Strong Plus:

  • Experience as a developer / back end engineer OR as a front end engineer

  • Expertise with interactive data visualization and ability to build prototypes using Javascript + d3, django, flask and other front-end frameworks

  • Expertise with sklearn, NLTK, keras and other ML libraries in Python

We emphasize the following traits amongst our team members:

  • Scrappiness: Adaptable with grit and perseverance, comfort with ad-hoc projects and deviations from plans

  • Analytical: ability to formulate the right business questions and examine data to answer specific questions

  • Strong Communicator: be able to render and speak to data analysis in a format well understood by internal audiences

  • Entrepreneurial: propose and run experiments which enhance the quality of insights in our research

  • Quick self-learner: mindset of diving into new processes to learn them well

Job Requisition ID:29693

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