Data Scientist

About Us:

Come [legally] hack with us 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 out-perform the market.

Arpeely is a Data-Science startup, leveraging data analysis, ML, engineering and multi-disciplinary thinking to gain a market edge and exploit hidden opportunities in real-time advertising. Processing over 0.5m 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 S&P 10 companies.

We are looking for a passionate Data Scientist 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.

If you are experienced but still hungry to learn and impact - we’d love to have you on our team!

What You'll Do:

• Devise, initiate, manage and execute cutting edge exploration and exploitation projects
• Apply your knowledge of Data Science and algorithm development to create data solutions
• Analyze extremely large (petabytes) and diverse datasets to solve complex problems, and then
• Develop algorithmic solutions to do it for you
• Proactively seek growth opportunities aligned with core KPIs
• Partner with other functions in the company, to support decision making
• Instant data gratification guaranteed!

Qualifications

• 3+ years of practical 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
• 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 :)