Position: Data Science Team Leader
Company: Wix
Experience required: 5y
Category: Data Science
English level: intermediate
Published: 2022-01-01T00:00:00+02:00

We apply SOTA Machine Learning techniques to Wix’s data to improve the product, internal processes and personalization for users, which in turn improves our profitability.

We’re looking for a Data Science Team Leader who is passionate about data science and analytical problem-solving to join our Kyiv office.

You are:
An extremely talented data scientist with at least 5 years’ experience with data science, machine learning, and/or deep learning and at least 2 years’ experience managing a successful team of data scientists. You have a deep understanding of classical ML & DL algs for a wide spectrum of problems and domains: Computer Vision, NLP, Recommendation Systems, Supervised & Unsupervised Learning.

You have the technical know-how to advise team members, the managerial skills to prioritize and advance projects and the interpersonal skills to communicate data science to non-technical management. You also have hands-on machine learning experience with Python. You’re willing to work hands-on, potentially working on your own project while managing the team.

Major bonus points if you:

- Have an M.Sc or PhD in Math, Statistics, Computer Science, Physics, or an equivalent field.
- Are familiar with Deep Learning frameworks and applications

As Data Science Team Leader, you will:

- Get to work on extremely diverse problems and domains.
- Manage and mentor a team of talented data scientists with experience in various machine learning applications.
- Serve as the technical expert of the team, providing high level guidance on all projects.
- Direct and define projects based on the business requirements of various product managers.
- Conduct advanced analysis, then design and code appropriate solutions using machine-learning, and communicating with all business partners.
- Be responsible for building relationships with stakeholders in other business units, to identify aspects of the business/product that can benefit from data science and machine learning.