Sr Specialist, Quantitative Analytics and Data Science
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
Experience as a developer / back end engineer OR as a front end engineer
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:31176
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