Data Scientist

Data Scientist

Location

Experience

Choosing Capgemini means choosing a place where you'll be empowered to shape your career, supported by a collaborative global community, and inspired to reimagine what's possible. Join us in helping leading healthcare and consumer electronics organizations unlock the value of sensor data and drive scalable, data-driven innovation.

Your Role

As a Sensor Data Analytics Engineer, you will play a critical role in analyzing biomedical and health-related sensor data to support digital health initiatives. You'll work with cross-functional teams to develop algorithms, validate models, and contribute to remote patient monitoring and clinical analytics.

In this role, you will:

• Analyze sensor data from wearable health devices and medical platforms.
• Apply time-series analysis, statistical modeling, and signal processing techniques.
• Develop algorithms using Python libraries such as NumPy, SciPy, Pandas, Scikit-learn, PyTorch, and TensorFlow.
• Support remote patient monitoring and digital therapeutics initiatives.
• Work with cloud-based health data platforms and contribute to MLOps pipelines.
• Interpret clinical trial data and contribute to product development and validation.
• Collaborate with engineering and data science teams to translate insights into actionable outcomes.

Your Profile

• Bachelor's or Master's in Data Science, Biomedical Engineering, Electrical Engineering, or related field.

• 49 years of experience in sensor data analytics, preferably in consumer electronics, healthcare data analytics, or medical device domains.

• Proficiency in Python and signal processing libraries.
• Strong understanding of time-series analysis, statistics, and linear algebra.

Mandatory Skills

• Experience with wearable health devices, remote patient monitoring, or digital therapeutics.
• Proficiency in MATLAB and embedded C.
• Knowledge of biomedical signal processing techniques (e.g., HRV analysis, FFT, wavelet transforms).
• Exposure to analysis of clinical trial data.
• Experience with cloud-based health data platforms and MLOps pipelines.
• Background in physiology or clinical informatics is a plus.

What You'll Love About Working Here

We value flexibility and support our employees with remote work options and adaptable schedules to maintain a healthy work-life balance.

Our inclusive culture brings together diverse professionals committed to growth, innovation, and excellence.

You'll have access to continuous learning opportunities and certifications in emerging technologies like cloud, AI, and digital health.

About Us

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world's most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.