Position: Data Scientist (Senior / Lead / Principal)
Category: Data Science
English level: fluent
Years of experience: 8


Data Scientist with 8 years experience in various domains.
Have experience working in large outsource and outstuff companies and foreign product start-ups.

In the product company driving the overall AI & R&D direction. Beign accountable for the AI side of the product conducting overall techincal oversee. Covering all stages from identifying business needs, building roadmap and architecture (DS, R&D, MLOps, Hardware), setting up processes, data collection and annotation, developing, deploying and maintaining the solution. Delivering results to C-level. Working hands-on on the most difficult technical tasks to keep dev skills up to date.

Working in consulting on Senior and Lead positions. Running pre-sales, building roadmaps, leading the development of solutions. Working in a whole variety of possible DS projects including ML, CV, NLP, DSP and others.

As for hobbies, passionate about microcontrollers. Have built a number of pet projects on Raspberry Pi and Jetson Nano. Mostly with CV related applications. Including but not limited to some real-time CV solutions. Not commercial though. As for the commercial projects, such kind of projects have been deployed on the cloud services in my practice.

I can work in both senior and managerial positions, although I have experience of successfully managing teams of 3 to 9 people. I always remain hands-on and passionate about development.

Some facts,
- Permanently leading teams of Data Scientists and MLOps Engieneers
- Driving DS projects as a Lead / Principal Data Scientist from scratch to production
- Experienced in developing DL (CV/NLP) and ML solutions
- Experienced in Cloud Platforms (GCP, AWS, Azure). Two-times GCP certified.
- Communicating directly to the customers (outsource, outstuff) and C-level management (product).

Open to Senior / Lead / Principal / Head positions.
My priority would be a product company, ideally (but not necessary) in the manufacturing space.
However will give due consideration to all opportunities!