Job Description
<p>Revmo is an ERA-backed startup focusing on transforming the way people meet, by unlocking the value of their potential connections. To do this, we are building a privacy-oriented social graph, enabling users to upload their contacts and expand their networks. We use graph data science and a range of data sources to map the universe and identify the best paths.<br>Whilst Revmo’s platform is general and sector agnostic, it is currently focused on the Financial Services and Startup sectors, with both a consumer and enterprise angle. Our clients range from VC funds, AdTech, Fitness and AI.<br>Fundamentally, we believe that user data belongs to users - and we are designing a platform for professional networking that respects the privacy of our users.</p><h3>Why join Revmo?</h3><p>We have a lot of the great tech startup qualities youd expect, but we dont stop there. Our international scale and small team, emphasis on healthy life balance and kindness in all our interactions, and focus on ownership and personal growth make us a uniquely great place to work.<br>In the UK, we have offices in Central London, and in the US, we are in New York. We support remote-first employment, especially during the global pandemic.</p><h3>Our tech stack <i>(but open to others!)</i></h3><ul><li>Python + FastAPI</li><li>ReactJS + Recoil</li><li>Docker</li><li>AWS S3</li></ul><h3>What attributes and skills should I have?</h3><ul><li><strong>For all employees:</strong> you should be curious, driven and work well in teams.</li><li><strong>For Data Scientists:</strong> You should have a quantitative and analytical mindset, background and, ideally, some experience. You should be familiar with data visualization, statistics (either frequentist or bayesian), some elements of mathematical modelling and be able to express your ideas concisely and clearly. Better yet - if you can develop your ideas into code, that’s a big plus. You should understand, or be willing to learn, the basics of Game Theory, Nash Equilibria, Markov Chains and PCA (especially non-negative matrix factorization).</li></ul><h3>What kind of hiring are you doing at the moment?</h3><ul><li>Full time - annual salary + equity options, private healthcare</li><li>Part time - agreed weekly hours + healthcare</li><li>Contract - deliverable-oriented contracts for particular projects</li><li>Interns & Trainees - paid</li><li>Yummy foods: coffee + snacks provided when in the office</li><li>Weekly Deliveroo allowance</li><li>Choice of workstation!</li><li>Equity - as the company grows in value, you benefit</li></ul>