Position: Data Science Team Lead
Company: Tango Me
Category: Data Science
Experience required: 5y
English level: intermediate

Tango Me is a privately-held company headquartered in Mountain View, California with an attractive option/stock plan. Our platform allows thousands of talented people all around the world to find fans and monetize talents.

We are looking for an experienced Data Science Team Lead, who can lead and design our big data infrastructure, using the most advanced tools on the market. The ideal candidate is a data leader who enjoys building data systems from the ground up while also leading a team of engineers and enabling them to grow.

**Responsibilities:**
- Drive impact for the company using data science models where they can provide the optimal solution to business challenges
- Management of a large team containing 7-8 data scientists, identify strengths of each team member and match projects to the most fitting persons, help them to grow professionally and find challenge in their work, while maintaining a positive, productive environment
- Manage and guide the team throughout the full data science cycle, from research to deployment and model use in production
- Monitor and maintain models documentation, accuracy and performance over time
- Collaborate with many peers such as ML Engineers, DevOps, Integration Developers, Product and QA
- Work in a Google Cloud Platform environment

**Requirements:**
- 1+ years of experience in people's management
- 5+ Experience in hands on data science modeling, specifically in big data environments
- Experience with real time environments- an advantage
- Advanced Python knowledge, good familiarity with libraries such as Scikit-Learn, Keras, TensorFlow, Numpy, Pandas, seaborn, matplotlib
- Experience using public cloud solutions such as Google Cloud - Platform/AWS/Azure 
- Excellent understanding of statistics, mathematics and ML models implementation
- Experience with AB Tests - an advantage
- Strong organizational skills