Position: Senior Data Scientist (IRC147810)
Company: GlobalLogic
Experience required: 3y
English level: upper

Tracking personal sleep data during the night

Individual comfort and temperature balancing

Comfort adjustability on each side of the bed

Job Description
PhD, MSc or equivalent in Computer Science, Statistics, Mathematics or similar discipline with 3 years of experience on signal processing and data science/statistics projects.
Strongly preferred experience on bio-signals such as ballistocardiography, electrocardiography, and photoplethysmography
A passion for and expertise in practicing statistical consulting to solve real-world problems.
Proficiency in Python and Matlab
Experience in general linear modelling, multivariate analysis, machine learning and statistical modelling, and preferred additional knowledge of time series modelling and signal processing
Experience of working with biosensor data, knowledge of sleep science, sleep research (preferred)
Desire to play with data and dig into data. Awareness of issues in statistics and dependence on data quality.
High standards of code quality, making use of version control tools.
Knowledge of SQL (NO SQL knowledge also would be a plus)
A practical common sense approach to problem-solving and attention to details.
Strong interpersonal skills and enthusiasm for teamwork, as well as the ability to work independently.
Advanced English is a must
Job Responsibilities
Statistical data models development to quantify sleep quality based on multiple-sensor data and other relevant factors including behavior and environment
Work with the client team and Product Owner on a day-to-day basis to develop new and improved existing algorithms.
Explaining and documenting the results of analysis or modelling to both a technical and non-technical audience.
Learning new engineering practices, technologies and continuously improving our Agile practices.
Department/Project Description
Client - the worldwide manufacturer of smart beds, which increase the overall quality of sleep. The solution senses and automatically adjusts the comfort level:

Tracking personal sleep data during the night

Individual comfort and temperature balancing

Comfort adjustability on each side of the bed