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Quorum Analytics
Demand Generation Manager
Quorum Analytics Washington D.C., DC, USA
Consistently named one of the top D.C. start-ups to watch since 2016, Quorum builds software that helps public affairs professionals work smarter and move faster. Our philosophy is people-first, whether we're supporting team members in their careers or prioritizing our clients with a best-in-class customer success program. Quorum's clients use our tools to bring a modern approach to advocacy work in Congress, all 50 state legislatures, major U.S. cities, the European Union, and more than a dozen countries. The Demand Generation Manager will help generate demand for Quorum by creating account-targeted campaigns to fill our inbound and outbound funnels. You will create campaigns using our website, email marketing via Hubspot, ads across a variety of channels, and an account-based marketing platform. While your work will benefit Quorum’s growth in a wide variety of ways, your success will primarily be measured by your ability to deliver warm leads from organizations within your...
Dec 29, 2020
Full-time
Consistently named one of the top D.C. start-ups to watch since 2016, Quorum builds software that helps public affairs professionals work smarter and move faster. Our philosophy is people-first, whether we're supporting team members in their careers or prioritizing our clients with a best-in-class customer success program. Quorum's clients use our tools to bring a modern approach to advocacy work in Congress, all 50 state legislatures, major U.S. cities, the European Union, and more than a dozen countries. The Demand Generation Manager will help generate demand for Quorum by creating account-targeted campaigns to fill our inbound and outbound funnels. You will create campaigns using our website, email marketing via Hubspot, ads across a variety of channels, and an account-based marketing platform. While your work will benefit Quorum’s growth in a wide variety of ways, your success will primarily be measured by your ability to deliver warm leads from organizations within your...
Competitive Balance Analytics
Quantitative Modeler - US Sporting Events
Competitive Balance Analytics Remote
Position: Quantitative Modeler - US Sporting Events Location: Remote (US) Looking for a talented and highly motivated Quantitative Modeler for a unique and exciting opportunity to work with a small team to accurately predict the outcomes of future US sporting events. Candidate must have a strong understanding the wagering markets involving these events.  Candidate should have hands-on experience with statistical modeling.  Ideal candidates will also have experience in traditional data science (analyzing data) and more modern data science (AI, deep learning). Candidates must be capable of working in a remote environment. Required Qualifications:  Python (scripting, numpy, scipy, matplotlib, scikit-learn, jupyter notebooks) Experience with machine learning algorithms, such as neural networks/deep learning, SVM, XGBoost, Random Forest, generalized linear models, etc. Understanding of Sports Wagering Markets Experience with Amazon Web...
Dec 03, 2020
Full-time
Position: Quantitative Modeler - US Sporting Events Location: Remote (US) Looking for a talented and highly motivated Quantitative Modeler for a unique and exciting opportunity to work with a small team to accurately predict the outcomes of future US sporting events. Candidate must have a strong understanding the wagering markets involving these events.  Candidate should have hands-on experience with statistical modeling.  Ideal candidates will also have experience in traditional data science (analyzing data) and more modern data science (AI, deep learning). Candidates must be capable of working in a remote environment. Required Qualifications:  Python (scripting, numpy, scipy, matplotlib, scikit-learn, jupyter notebooks) Experience with machine learning algorithms, such as neural networks/deep learning, SVM, XGBoost, Random Forest, generalized linear models, etc. Understanding of Sports Wagering Markets Experience with Amazon Web...
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