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Senior Data Scientist (AI)
Описание вакансии
Текст:
TL;DR
Senior Data Scientist (AI): Development and validation of models/algorithms for use cases such as gait analysis and movement pattern recognition with an accent on experiment design, feature engineering, and evaluation of new radar-based patient monitoring approaches. Focus on applying deep learning, probabilistic models, and hybrid methods, combining domain knowledge with scientific curiosity.
Location: Remote from North Macedonia
Company
is an experience innovation company partnering with recognized brands to unlock new value in a digital world by blending data, AI, creativity, and technology.
What you will do
- Develop and validate models/algorithms for use cases like gait analysis and movement pattern recognition.
- Define metrics, conduct offline evaluations, and ensure reproducibility for experiment design and measurability.
- Derive meaningful feature representations from radar data using domain understanding.
- Evaluate new approaches for radar-based patient monitoring, including classic ML, deep learning, probabilistic models, and hybrid methods.
Requirements
- Several years of experience as a Senior Data Scientist, ML Engineer, or Software Engineer with demonstrable productive ML systems.
- In-depth knowledge of ML (Supervised/Unsupervised, Sequences/Time Series, Anomaly Detection, Classification/Regression).
- Solid understanding of statistics and evaluation methods.
- Ability to derive, question, and combine models with domain knowledge (first-principles thinking).
Nice to have
- Radar/sensor experience, especially with demanding signal/time series characteristics.
- Experience with robust benchmarking (Regression-Suites, Golden Data Replays, A/B-Tests).
- Domain know-how in the healthcare context (clinical workflows, outcome-oriented feature definition).
Culture & Benefits
- Private health insurance for all employees.
- Educational program offering training and certification opportunities.
- Wellbeing program to support a healthy work-life balance.
- Enjoy free coffee, drinks, snacks, and company dinners.
- Participate in various company events like ski trips, carting, and wine tasting.
- Competitive salary and 24 days of vacation.
- Work on challenging projects within an open feedback culture.
Hiring process
- Talent Acquisition team reviews applications based on skills, experience, and potential.
- No requirement for age, gender, marital status, or headshot in application.
- Reasonable accommodations are available during the interview process upon request.