Data Scientist Team Lead
Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Aug 30, 2026.
Description
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 :)