ABOUT BURNING GLASS:
At Burning Glass Technologies, we strive to create a job market that works for everyone. With technology and automation changing the nature of work at an unprecedented pace, our mission is more important than ever. We are an analytics software company whose tools play a growing role in informing the global conversation on education and the workforce by turning data into insight. Powered by the world's largest and most sophisticated database of jobs and talent, we deliver real-time data and breakthrough planning tools that inform careers, define academic programs, and shape workforces.
Data Science and Economics are at the heart of our mission, and our team plays a critical role in delivering insights for our products and clients from hundreds of millions of job postings and resumes. The team is responsible for developing models for classifying, validating, and understanding the job market data in our software products; ensuring and maintaining data quality; and creating reports which analyze areas of the labor market that are critical to our clients and partners. Our team's technology stack includes Python and R for data science and analysis, and Spark, SQL Server, ElasticSearch, and MongoDB for managing and working with our large datasets.
ABOUT THE POSITION:
We seek a Data Scientist/Economist, to join the firm's growing research and analytics team. You will play a vital role in supporting Burning Glass's public and client-based research, as well as develop cutting-edge analytics to provide insight to power Burning Glass products. Burning Glass's research is driving the national conversation around some of the most critical issues facing the job market, and is frequently cited in national publications such as the Wall Street Journal, the New York Times, and the Economist. Sample client engagements include writing reports on best-bet job opportunities for entry-level job seekers for major foundations and tracking emerging technology skills for Fortune 100 companies (see for example reports with the World Economic Forum or IBM). Additionally, you will have the opportunity to collaborate with academic researchers from the top institution in the country (see Azar et al. for an example). The ideal candidate will possess strong quantitative research skills, and will have a passion for using data to illustrate key trends and tell actionable stories.
The ideal candidate is highly professional, intelligent, mature, and organized. S/he is able to work independently, multitask, and anticipate requests, and enjoys working in a busy, dynamic, and entrepreneurial environment.
Other requirements include:
3+ years of quantitative experience, ideally in a Tech company. Some consulting experience a plus.
Outstanding project management skills.
Practical industry experience in applying Statistics or Machine Learning methodologies: Regression, Classification, Predictive Analytics, Decision trees, Support Vector Machines.
Advanced proficiency required in at least one of the following statistical analysis/data management tools: SQL, R, Python, SAS, or STATA.
Experience creating data visualizations in PowerPoint, Tableau, R, or other BI tools.
Experience managing complex projects and interacting with diverse stakeholder groups.
Master's degree in technology and policy, economics, statistics, or another quantitative field. Experience in public policy and regional development is highly preferred.
Prior research experience or a thesis that demonstrates strong research skills.
Highly detail-oriented with superior organizational skills.
Excellent writing and communication skills.
Intense intellectual curiosity.
Burning Glass Technologies is committed to providing equal treatment and opportunity to all individuals without regard to gender, gender identity or expression, marital status, age, race, religion, national origin, ethnicity, disability, sexual orientation, veteran or military status, or any other category protected under the law. Burning Glass Technologies is an equal opportunity employer; committed to a policy of equal access, and inclusion, and a safe workplace free from discrimination, harassment, and retaliation.