Evolv (www.evolvondemand.com) is an early-stage SaaS solution that answers an age-old problem faced every day by the companies who employ over 60% of the nation’s workforce: hiring the wrong person. Our platform utilizes a unique form of technology to help companies source, screen, and hire large volumes of hourly, entry-level workers. Our approach blends predictive analytics with recruitment automation, to help companies “see the future” when looking at a potential employee within the job application process and identifying their likelihood of retention and productivity once hired. With a multi-billion dollar market to address, we are looking for an analytics rockstar to harness the power of the reams of data that we currently capture on the thousands of applicants who apply through our system, coupled with performance and retention metrics tracked for these people once they are hired by our clients (which we have exclusive access to for the purpose of optimizing our screening algorithms). Our team includes senior executives who have built and led unusually successful software companies, including ePiphany, Unicru, Taleo, Digitas, and Amazon.com. We are backed by Lightspeed Venture Partners (www.lightspeedvp.com) and Khosla Ventures (www.khoslaventures.com), two top-tier silicon valley VC funds.

We are looking for an energetic and creative analytics executive who is looking to join a software company that is changing the landscape in which it operates. In overseeing the definition, development, and execution of our analytics strategy, you will ensure that we successfully obtain, mine, and drive actionable intelligence out of the millions of unique applicant and employee data points that allow us to provide valuable solutions to our $10 Billion target customer market. We’re looking for a gifted quantitative mind who has not only honed an expert focus in the areas of predictive analytics and/or artificial intelligence, but who is also “trilingual”—speaking equally as well to their own team of analytics professionals as they do to their colleagues outside of their own team, and to the end customers who ultimately see the benefit of their analytical methods. In this role, you will have an initial focus on architecting the analytical infrastructure that will then allow you and your team to create and implement cutting-edge predictive analytical methods. Your designs and methods will form the foundation of a defensible and differentiated product in an industry where data drives every meaningful business decision, and ensures that we both meet the evolving needs of our customers and keep a solid distance between us and our nearest competitors. If you’ve measured your success in previous positions by how your strategies have delivered revolutionary new ways of quantitatively solving complex market problems, this position could be a great fit for you.

Located in the SF Bay Area, this position requires someone with 3-7 years of applying complex quantitative and analytical methods to large datasets, with the purpose of identifying conclusions that drove profitable business decisions. Ideally, you worked somewhere where you developed the “guts” of a successful predictive analytics platform, helping define and test the core algorithms behind some form of a recommendation engine. You will be joining our team at an absolutely critically time in the company’s development in order to make a huge, high-visibility impact from day one. You will report directly to the COO, and will build a small team of analysts to support you within the first 6-12 months after you join.

Our ideal candidate will meet the following requirements:

1) PhD or M.S. in quantitative discipline
a. We prefer that you have a PhD, although Masters candidates will be considered.
b. Best if your academic specialization was in/related to one of the following areas: Artificial Intelligence, Machine Learning, Predictive Analytics, Statistics.

2) Hands-on Experience in Designing a Full Footprint Analytics Function for a Solution with Direct Impact on the P&L
a. While not necessary, it’s preferred that your work experience was focused around designing a predictive analytics function for a B2B enterprise software platform.
b. Major bonus if your experience was focused on SaaS or, alternately, a software platform that was marketed and sold to decision-makers that were responsible for the call or contact centers within their company.
c. In addition to doing quantitative analyses, you should also have had direct involvement in identifying the core analytics tools used to perform these analyses, as well as the strategy to ensure that these tools integrated tightly with the key functions/areas of the end-user product these analyses supported.

3) Previous experience in an early stage company, where you materially contributed to helping the company reach its first 5-10 major success milestones.
a. If you haven’t previously been part of (and loved) a company where you were tasked with getting nearly impossible goals accomplished with little resources, this likely isn’t a good fit for you.

4) Creative, Pro-Active, and Inventive Mindset.
a. Other people who have worked with you would consistently say you’re an original thinker, and that you singlehandedly came up with systems & methods that solved problems in ways they’d never been solved before.

This position comes with a competitive compensation package, including stock options.

How to apply Submit your resume and a cover letter that addresses how you meet the 4 specific criteria above.

• Compensation: Competitive, see posting for details
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