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Senior Data Scientist
Высокий балл за работу в передовой deep-tech компании с уникальным продуктом и возможностью влиять на развитие индустрии. Работа предполагает международное взаимодействие и решение сложнейших инженерных задач.
Сложность вакансии
Роль требует редкого сочетания глубоких знаний в физике, продвинутого машинного обучения и готовности к частым международным командировкам. Ожидается опыт работы от 3-5 лет после получения степени магистра или PhD в коммерческой среде.
Анализ зарплаты
Предлагаемая позиция Senior уровня в Сингапуре в сфере Deep Tech обычно оплачивается выше среднего по рынку из-за требований к научной степени и специфическим знаниям физики. Указанный диапазон соответствует текущим рыночным реалиям для опытных Data Scientist в международном хабе.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Data Scientist position at PhysicsX. With a solid foundation in numerical physics and extensive experience in deep learning, I am excited by your mission to accelerate hardware innovation through AI-driven simulation. My background in architecting production-ready models using PyTorch and TensorFlow, combined with a track record of solving complex engineering problems, aligns perfectly with the technical leadership requirements of your Delivery team.
Throughout my career, I have focused on bridging the gap between advanced data-driven modeling and practical industrial applications. I have significant experience in probabilistic methods and predictive modeling, and I am particularly drawn to the opportunity to work side-by-side with customers to embed cutting-edge AI into their engineering lifecycles. I am confident that my ability to lead technical initiatives and mentor junior engineers will contribute significantly to PhysicsX's continued success in the Aerospace, Automotive, and Energy sectors.
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Описание вакансии
About us
PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software.
We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.
Who We're Looking For
As a Senior Data Scientist in Delivery, you are an experienced problem solver and technical leader who is passionate about building practical solutions that enable customers to make better engineering decisions. You are someone who can grasp advanced engineering concepts across multiple industries, lead technical initiatives, and excel at working directly with customers (and often side-by-side with them on-site) to embeds cutting edge AI models into tools that are useful and used.
You've consistently tackled difficult problems that require strong foundations in data driven modelling and deep learning techniques, with extensive hands-on experience in probabilistic methods and predictive modelling. Your expertise in python, along with advanced proficiency in libraries like NumPy, SciPy, Pandas, TensorFlow and PyTorch, is essential, with proven ability to architect and deploy scalable, production-ready models and data pipelines.
With 3-5 years of industry experience (post Masters of PhD) in a commercial, non-research environment, you're ready to not only execute but also lead and mentor others. You're truly excited about growing both your technical expertise and leadership skills, naturally taking ownership of complex data science work streams and guiding teams to success. You continuously improve the systems and solutions you work on to ensure they are practical, impactful and meet the evolving needs of our customers.
This Role
In this senior role, you'll work closely with our Simulation Engineers, Machine Learning Engineers, and customers to understand and define the engineering and physics challenges we are solving, while providing technical leadership to your team.
You'll build the foundations for successful, impactful solutions by:
- Leading pre-processing and analysis of complex data to prepare it for use in predictive modelling, establishing best practices and methodologies for your team.
- Architecting and developing innovative deep learning models in combination with state-of-the-art optimisation methods to predict and control the behaviour of physical systems.
- Taking full responsibility for the quality, accuracy and impact of your work and the work of your team.
- Designing, building, and testing data pipelines that are reliable, scalable, and robustlyeasily deployable in production environments.
- Leading cross-functional collaboration with simulation engineers to ensure seamless integration of data science models with simulations.
- Driving internal R&D and product development, helping to refine models and identify new areas of application.
- Mentoring junior team members and providing technical guidance to help them grow.
- Leading open communication and presentations with both technical teams and customers, helping onboard users and co-develop with customers.
- Representing PhysicsX as a technical authority when traveling to customer sites in North America, Europe, Asia, Oceania, an average of 2-3 weeks per quarter, where you'll collaborate closely with customers to build solutions on site.
As a senior member of the team, you'll have significant influence on our technical direction and the opportunity to shape future solutions and products, while developing your skills as a technical leader.
Our delivery teams drive innovation to turn AI models into practical solutions - read our blog to learn more about how you’ll contribute to this exciting journey!
We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.
We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.
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Навыки
- Python
- NumPy
- SciPy
- Pandas
- TensorFlow
- PyTorch
- Deep Learning
- Probabilistic Modeling
- Predictive Modeling
- Data Pipelines
- Optimization Methods
Возможные вопросы на собеседовании
Проверка опыта работы с физическими системами и понимания ограничений ИИ в этой области.
Расскажите о самом сложном проекте, где вы использовали глубокое обучение для моделирования физических процессов. С какими проблемами точности вы столкнулись?
Оценка навыков работы с клиентами и умения объяснять сложные технические концепции.
Как вы подходите к сбору требований и демонстрации ценности ИИ-моделей заказчикам, которые привыкли к традиционным методам симуляции?
Проверка лидерских качеств и умения наставлять коллег.
Опишите ситуацию, когда вам нужно было направить работу младших специалистов в условиях сжатых сроков и высокой неопределенности.
Оценка технических навыков в области архитектуры данных.
Какие стратегии вы используете для обеспечения масштабируемости и надежности пайплайнов данных при развертывании моделей в производственной среде?
Проверка знаний в области вероятностных методов.
В каких случаях вы отдаете предпочтение вероятностным методам моделирования перед детерминированными подходами в инженерных задачах?
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