Data Scientist Specialist

Position Summary

SRBR is looking for a Data Scientist to help our team to generate innovative health features for Samsung wearable and mobile devices. The ideal candidate has experience in working with time-series data and sensor data extracted from a variety of mobile and wearable devices.

The candidate will work with our team of researchers, Artificial Intelligence specialists, data scientists, developers and health domain specialists in order to design and deliver innovative health features to Samsung devices and services. The candidate will work on projects that impact the life of millions of people worldwide, helping them to improve their health and wellbeing.

Role And Responsibilities

• Contribute to data organization, synchronization and cleaning from a set of different sources
• Analyze data in order to understand behavior of the source (data mining, visualization, exploratory data analysis, etc.)
• Organize data in order to guarantee high quality data for AI algorithms
• Effectively solve complex research and development problems through data modeling/analysis/prediction
• Contribute to SRBR Intelligence R&D Lab projects, which have the purpose of producing innovative Intelligence technology components for (a) equipping Samsung smart devices, and (b) enabling innovative new services;

Main Requirements

• Solid knowledge and skills in: time-series data analysis, statistics and modeling, machine learning algorithms and libraries;
• Experience in Data Mining, Data Analytics, and Data Visualization;
• Experience in data modeling and SQL/NoSQL DBMS;
• Experience with data analysis for a high volume of data;
• Solid programming skills including (a) programming languages Python/R, Java/Scala, or C/C++, (b) programming paradigms, and (c) programming tools;
• Proven 5+ years of experience applying required skills in advanced and meaningful set of projects.

Skills And Qualifications (nice To Have)

• Experience working on meaningful artificial intelligence and/or big data software projects;
• Experience with machine-learning techniques, algorithms and libraries applied to mobile and wearable platforms;
• Information Retrieval use cases;
• Software engineering skills, including methodologies, best practices and related tools;
• Experience in designing data gathering protocols
• Experience in health, biomedical, fitness or exercise data collection and analysis

Education

• Bs.C. in Computer Science, Statistics, Mathematics, Computer Engineering, Electrical Engineering, Biomedical Engineering or other similar areas obtained from top-tier universities.
• [nice to have] Ms.C. or Ph.D. in Computer Science, Statistics, Mathematics, Computer Engineering, Electrical Engineering, Biomedical Engineering or similar areas obtained from a top-tier university.

Skills And Qualifications

Opportunity in Campinas/SP.

Confidential and proprietary information obtained by the candidate during his employment history with other companies must be kept as such (Confidential & Proprietary) throughout the selection process and must not be questioned in any way.

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