Data scientist (Health) / Дата-сайентист

Вакансия № 28276057 в населенном пункте (городе) Москва, Россия от компании "ООО ФуззМи" на сайте Электронный Центр Занятости Населения (ЦЗН) Москвы.

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Логотип (торговая марка, бренд, эмблема, внешний вид здания или внутренний интерьер офиса):

Организация работает в следующих сферах деятельности: Информационные технологии, системная интеграция, интернет; Электроника, приборостроение, бытовая техника, компьютеры и оргтехника; .

Репутация компании "ООО ФуззМи" в отзывах работников:

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Обязательное требование к опыту работы искомого сотрудника: 3–6 лет.

График работы: полный день.

Тип занятости: частичная занятость.

Вакансия № 28276057 добавлена в базу данных: Пятница, 29 августа 2025 года.

Дата обновления этого объявления: Четверг, 25 сентября 2025 года.

Вакансия № 28276057 прочитана - 73 раз(а) Отправлено откликов - 1 раз(а)

Работодатель предложит заработную плату по результатам собеседования с соискателем работы.

We are leading health technology company on a mission to transform how individuals monitor and optimize their health and fitness. We are committed to empowering people to take control of their well-being by developing innovative wearable devices and data-driven health solutions. As a rapidly growing startup, we are driven by innovation and harnessing the power of data to create products that revolutionize the health and fitness industry.

We are seeking a talented and passionate Health and Fitness Data Scientist to join our dynamic team. As a Data Scientist specialized in health and fitness, you will play a pivotal role in leveraging data analytics and machine learning to derive actionable insights, improve product functionalities, and enhance user experiences across our range of wearable health technology products.

Responsibilities:

1. Health Data Analysis: Conduct in-depth analysis of health and fitness data collected from our wearable devices, including physiological metrics, body composition, hydration, activity patterns, sleep quality, heart rate variability, and other relevant biometric data.
2. Machine Learning Models: Develop and implement advanced machine learning models tailored for health and fitness applications, such as personalized health predictions, anomaly detection, and activity recognition.
3. Fitness Performance Optimization: Utilize data-driven techniques to optimize fitness-related features and algorithms, enabling users to track and enhance their performance in various physical activities.
4. Health Insights and Recommendations: Extract meaningful insights from health and fitness data to provide users with personalized recommendations, exercise programs, and lifestyle suggestions for better overall well-being.
5. Data Quality and Integrity: Implement rigorous data quality checks and validation processes to ensure the accuracy and reliability of health and fitness data collected by our wearable devices.

Requirements:

1. Educational Background: Bachelor's, Master's, or Ph.D. degree in Data Science, Computer Science, Biomedical Engineering, or a related field with a focus on health and fitness data analysis.
2. Data Analysis and Machine Learning: Proven expertise in data analysis, statistical modeling, and machine learning techniques, with a strong emphasis on health and fitness data applications.
3. Health and Fitness Domain Knowledge: Solid understanding of health and fitness metrics, wearable sensor data, and the physiology of physical activity.
4. Programming Skills: Proficiency in programming languages such as Python or R, and experience with data manipulation libraries like Pandas and NumPy.
5. Data Visualization Abilities: Demonstrated ability to create informative and visually appealing data visualizations using tools like Matplotlib, Seaborn, or other data visualization libraries.
6. Passion for Health Technology: Strong enthusiasm for health and fitness technology and a desire to improve people's lives through data-driven solutions.
7. Collaborative Team Player: Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.

Preferred Qualifications:

• Experience with wearable health and fitness devices or related projects.
• Knowledge of signal processing techniques for health data analysis.
• Familiarity with mobile app data analytics and user behavior tracking.
• Understanding of cloud computing platforms (e.g., AWS, Azure, GCP) and big data technologies.

Join us to be at the forefront of health and fitness innovation, where you can apply your data science expertise to create products that positively impact people's health journeys. If you are passionate about leveraging data to empower individuals in their pursuit of better health and fitness, we encourage you to apply and become part of our dedicated team.

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