Senior Data Scientist

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 1,000,000 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.

We are looking for a passionate Senior 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!.

Requirements:

• 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 :).