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Роль чётко сосредоточена на поведенческих данных, анализе временных рядов и внедрении моделей в production, а также даёт возможность влиять на техническое направление; ранняя стадия компании добавляет неопределённости.
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Актуальные технологии
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Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Scientist (Behavioural Data) (Python/Machine Learning): Developing production-ready models from complex behavioural, sensor, and time-series datasets with an accent on signal processing, statistical modelling, and predictive analytics. Focus on extracting patterns from noisy high-frequency data, combining scientific research with engineering, and taking machine learning models from experimentation into production.
Location: Fully remote within the UK, with a monthly meetup in London
Salary: £70,000–£80,000 per year
Company
Early-stage technology business developing systems to understand human behaviour through mobile interactions, touch, movement, and other behavioural signals.
What you will do
Explore and analyse large-scale sensor, device, behavioural, and other complex datasets.
Develop machine learning models to identify patterns and extract insights from time-series data.
Apply signal processing and statistical techniques to complex and potentially noisy datasets.
Build, test, and evaluate predictive models using Python.
Take models from research and experimentation through to production.
Collaborate with Data Science and Engineering teams while exploring new approaches to human behaviour modelling.
Requirements
Strong Python skills and hands-on experience developing machine learning models.
Experience with time-series, sequential, or high-frequency data and complex datasets.
Experience with sensor, device, physiological, motion, or other signal-based datasets.
Understanding of statistical modelling, signal processing, or predictive analytics.
Experience taking models beyond experimentation into production environments.
Ability to identify meaningful patterns in complex datasets.
Strong technical Data Science skills with a scientific or research-led background.
Nice to have
Background in neuroscience, computational neuroscience, signal processing, neurotechnology, medical devices, wearables, physiological data, computational biology, quantitative scientific disciplines, research-led machine learning, or applied Data Science.
Experience with mobile, gaming, or other behavioural datasets.
Experience with Google Cloud Platform, Databricks, or similar cloud-based data and ML infrastructure.
Culture & Benefits
Permanent role in a small, specialist team within an established and growing technology business.
Predominantly remote working arrangement with approximately monthly team meetups in London.
Opportunity to influence technical direction and explore approaches beyond standard machine learning techniques.
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