Data Science Operations Team Lead

• Company Arpeely
• No. of Openings 10+
• Salary Not Disclosed
• Work Type on-site

Job Description :

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, 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 talented Data Science Operations Team Lead that will help design and manage data-driven strategies and algorithms within the company’s core acquisition engine and deploy them end-to-end.

We hypothesize theories and prove them in production within hours (instant data gratification!). You will become the focal point of our data team and streamline processes, and will be responsible over company revenue streams.

If you enjoy a high level of autonomy in a fast-paced business and work environment within a growing organization - take a seat!

What you will do:

• Lead and mentor a team of extremely talented and success-hungry Data Analysts and 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:

• 5+ years of practical analytics experience in big data businesses (preferable - B2C company) 2+ years experience of managing a team
• A hands-on, passionate person who likes to get to the bottom of things in terms of both algorithms, data and business
• Excellent analytical skills with experience in querying large, complex data sets
• Strong understanding of statistics
• Hands-on experience with machine learning algorithms, Python, SQL, and data visualization tools
• Self-learner, multi-tasker, able to work independently, highly organized, proactive & problem-solver
• BSc degree (or higher) in Mathematics, Statistics, Engineering, Computer Science or any other quantitative field
• Big plus if you have experience in implementing real-time machine learning and data mining algorithms in large scale environments and familiarity with the Ad-Tech industry