As a Data Scientist, you will apply machine learning/AI techniques on massive data from all parts of our business to our products in innovative ways.
Build statistical and machine learning models to analyse and predict user behaviour
Design new machine learning systems to power the analytics efforts.
Develop algorithms and tools that will be integrated for analysing medical conditions of a patient like walking pattern and motor state with the help of raw data collected from various types of health sensors.
Contribute to continuous improvement and proactively support knowledge sharing across the product delivery team.
Ability to work independently with minimal supervision and develop efficient models.
Skills / Years of experience / Qualifications / Field of studies
Degree level education in Mathematics, Scientific, Computing or Engineering discipline or equivalent experience with substantial years of experience at various levels of Data Science roles and prior experience leading a small team of data scientists
An ability to apply logical, analytical and innovative thinking on a range of technical problems, with a particular bias towards the application of existing analytical methods, the development of new methods development and software engineering.
Particular experience with predicative analytics, advanced analytics and reinforced learning algorithms and other forms of machine learning is essential.
Ability to interpret complex business requirements, translating them into analytical problems and delivering high value outputs.
Experience in the use of one or more current analytical / big data technologies such as Python (including relevant libraries), Azure (Machine Learning, Stream Analytics, Data Factories etc), Spark, SQL, Tableau, Power BI is essential.
Tools: Python, SQL, REST, Keras, Tensorflow, SciKit learn, additional ML and DL frameworks.
Environments: experience with GPU-based DevBox hardware, Edge devices with GPU/Tensorcores/NeuralEngine like Nvidia Jetson family or alike, streaming.
Passionate to use all aspects of data science, machine learning, and technology to build the investment app of the future.
Strong sense of ownership and accountability, with good attention to detail.
Good interpersonal skills and ability to work well in an international team environment.
Ability to be agile and flexible in adapting in a dynamic environment.
Experience in working with medical devices and sensors is a plus.
Exceptional communication skills with the ability to clearly articulate solutioning and stakeholder management skills.
Keep abreast with competitive landscape and new trends.
Positive attitude / Confidence to take up tasks / provide reasonable timelines to complete tasks.