Data Scientist Team Lead

About Us Come [legally] hack with us on the data on the largest exchange that’s running our world. Not NASDAQ; the one with way more events - the Global Ads Exchanges, where millions of ads are born and clicked every second.Step behind the curtain of algorithms and competitors that move $1T of annual budgets. Plunge into a world of ISP volumes of traffic, sub-second predictions, and TBs of live, real-world data. Use cutting-edge analysis, ML and engineering or just plain hacker-like thinking to outperform the market.Arpeely is a Data-Science startup, leveraging, data analysis, ML, engineering, multi-disciplinary thinking to gain a market edge and exploit hidden opportunities in real-time advertising. Processing over 350k requests per second and serving over 20B sub-second predictions daily, we build and operate Machine Learning algorithms running on the world’s largest Real-time-bidding (RTB) Ad-Exchanges. Arpeely is a Google AdX vendor and serves clients spanning from startups to Fortune-50 companies. We are looking for a passionate Senior Data Scientist Team Lead to join our all-star team. This is an amazing opportunity to join a multi-disciplinary A-team while working in a fast-paced, results, marketing and data-oriented environment. You will become the focal point of our data team and streamline processes, and will be responsible over company revenue streams. What you will do • Ad and mentor a team of extremely talented and success-hungry Data Scientists • Initiate & manage cutting-edge projects from inception to delivery, including developing structured and automated solutions. • Lead the data strategy: be responsible for planning, prioritizing and building the right data solutions to support business needs. • Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithmic solutions and models to solve complex problems. • Identify and propose data science and algorithmic solutions for various product initiatives. • Use your excellent communications skills, both written and verbal, to explain technical concepts and analysis implications to senior leaders, and influence cross- functional teams to improve performance. • Partner with other departments (i.e. Management, R&D, Product) to support decision making.

Requirements: • Two years of experience in leading a team. • 4+ years of practical analytics experience in big data businesses (preferable - B2C company). • A hands-on, passionate person who likes to get to the bottom of things in terms of algorithms, data and business. • Excellent analytical skills with experience in querying large, complex data sets. • Strong understanding of statistical significance. • Hands-on experience with machine learning algorithms; Python and data visualization tools such as Tableau, Looker, etc. • BSc degree (or higher) in Mathematics, Statistics, Engineering, Computer Science or any other quantitative field. • Self-learner, multi-tasker, able to work independently. • Self-sufficient proactive problem-solver. • Excellent communications skills, both written and verbal. • Familiarity with the Ad-Tech industry - a big plus. • Experience in implementing real-time machine learning and data mining algorithms in large scale environments - a big plus. • Fun to work with & a team player :).