Position: Principal Data Scientist, Computer Vision (Consulting)
Company: Neurons Lab
Category: Data Science
Experience required: 3y
English level: intermediate

**Objective**

The goal of the delivery team is to make our clients happy while developing custom ML solutions for them. 

**Key results**

- Grow CSI to 100%
- Grow % of projects delivered in project terms (margin/deadline/scope) to 100%

**Challenges & responsibilities**

- Researching computer vision papers and approaches for image data classification, segmentation, and generation
- Prioritizing and choosing approaches and technologies within sprints in a particular project
- code reviews, hands-on implementation of the crucial solution pieces (if needed)
- supporting and mentoring data science and engineering teams
- communication of results and product performance to the customer

**Skills**

- research and paper analysis
- explanation and presentation
- machine learning and engineering
- advanced English
- documentation development

**Knowledge**

- in-depth machine learning knowledge with a focus on image and video data: classification, segmentation, object localization and generation
- state of the art business and technology trends

**Experience**

- MSc / PhD degree in the Mathematics / CS / Engineering
- machine learning solutions delivery in the CV field (3+ years)
- publications and public speeches track record

**We Offer**
- Scientific or engineering challenges
- Work with disruptive deep-tech startups
- Work with the rock stars (senior-level engineers, Ph.D.)
- Meaningful social and environmental projects
- Two options for our cooperation, and people have the opportunity to make their own choice of how they engage in work-related projects and tasks.
- Transparent, professional growth plan depending on your impact
- Remote work from any location
- Flexible working hours
- Unpaid unlimited PTO
- Regular Team Buildings & company-wide team events

**Terms & conditions**

Rate: $40 - $60 per hour
Allocation: 80-160 h/month