We are looking for a strong, hands-on Data Scientist to take the lead
of our rapidly growing team.
Fluxion is a AI department of GlobalDots (www.globaldots.com)
— a 17 years old global Value-Add-Reseller of Cloud Performance,
security, and operations services technologies. Currently we have over 100 employees
in our Italy, London, Berlin, Tokyo, Barcelona, Singapore, and Tel Aviv offices.
This is a unique opportunity for you to be a team leader of a growing DS team
within Fluxion, 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.
— 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
-Flexible working format — remote or office-based
-A competitive salary and good compensation package
-20 business days of payable annual free-time
-10 days of paid sick leave
-technical courses / Education reimbursement
-Comfortable office space or help with remote working place setup
-Needed software licences reimbursement
-Professional grow and salary review every
An extremely talented data scientist with at least 5 years’ experience with data science, machine learning, and / or 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 own 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 further 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.
Balance between “the best solution” and time efficiency solution.
Assertive in conflict management.
Projects \ tickets management system (jira \ monday \ trello etc ...).
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. Communicates 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 better understand 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 useful to them, and how to communicate with different types of stakeholders.
Smart — 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 responsibility for the tasks assigned to them. Supports their team, and wider Peak.