Position: Data Scientist with python
Company: UAconnects
Category: Data Science
Experience required: 5y
English level: upper

We offer a unique opportunity for you to be a team leader of a growing DS team, gain expertise and experience utilizing vast data collection, 
and deliver game-changing results for global clients.
The team leader will be responsible for providing guidance, 
instruction, training, and leadership skills to inspire the team to perform 
at their optimum.

Requirements:
- A bachelor's degree in statistics, math, computer science, or engineering.
- 5+ years of ML experience.
- Experienced at Python3.
- Strong problem-solving skills with an emphasis on product development.
- Proven experience in industrial production projects.
- The ability to work on several projects in parallel.
- English at least upper intermediate
- 2 of the following points are essential:
A passion for and experience in mentoring / leading / supporting other members in a team.
Experience in planning data science projects from initial
Managerial experience

Benefits:
-Excellent compensation package
-20 business days of payable annual free-time
-10 days of paid sick leave
-Medical insurance
-technical courses / Education reimbursement
-Comfortable office space
-Needed software licenses reimbursement
-Friendly team
-Professional growth and salary review every 8-10 months

You are:
An extremely talented data scientist with at least five years' experience with data science, machine learning, and deep 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're willing to work hands-on, potentially working on your project while managing the team - combine research with Getting-things-done and getting results to production end-to-end, combine team leading with hands-on work as needed.
The role provides you with the opportunity to drive the strategy of the Data Science team and turn this into a reality within your team by improving processes and best practices. You must have a track record of delivering high-quality Data Science projects, a passion for developing and supporting a team to perform at its very best, and a strategic mindset to improve the Data Science team going forwards.
Know how to identify technical debt and challenges and drive the team to reduce them (introduce new methods, technologies, and tools)
Drive revenue growth by qualified business opportunities leading business initiatives, and developing new solutions.
Ability to understand, plan, control, and implement parallel working R&D processes on multiple tasks and projects running simultaneously by handing responsibilities and assigning tasks to different team members.
Projects \ tickets management system (Jira \ Monday \ Trello etc ...).

Personal skills

Open - Happy to discuss ideas, contribute to others' work, take on board feedback, work well in a tight-knit and supportive team and be comfortable with change. Identifies areas Data Science skills can be applied to assist other teams and is willing to help. Able to communicate Data Science and other ideas clearly and effectively to internal and external stakeholders.
Driven - Determined to help succeed as a fast-growing scale-up technology company by driving improvements in Data Science work. Can work under own initiative.
Curious - Always working to understand better our customers, their world, and their challenges, and how we can better help them (and communicate that well). Keen to develop your knowledge of different businesses, what solutions are helpful to them, and how to communicate with various stakeholders.
Intelligent - Always willing to be able to back opinions with solid reasoning, research, and data. Can make our customers feel like we know their business through their data better than they do themselves. Expert in Data Science methods used to solve projects within your team and can confidently adopt and innovate with these approaches to support Data Scientists to solve new problems.
Responsible: Takes ownership of a team and is accountable for the tasks assigned to them.