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 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’ll Do

• Mentor a team of extremely talented and success-hungry data scientists.
• Initiate and 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 communication 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 communication 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 and a team player :)