תיאור המשרה
Description
We are looking for a talented Data Science Team Lead who 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 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, , 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
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