Prinicpal Data Scientist
|Job Title:||Prinicpal Data Scientist|
|Salary:||US$160000.00 - US$170000.00 per annum|
|Contact Name:||Tim Tirabassi|
|Job Published:||May 09, 2019 20:39|
The Principal Data Scientist will provide thought leadership on the practical application of machine learning and advanced analytical methods and cultivate a data driven culture across the company. The Principal Data Scientist will collaborate with key business leaders to understand business problems and formulate analytical solutions for problem solving as well as lead or collaborate with a team of data scientists, data analysts or big data engineers on analytical projects, proving benefits of solutions and helping with execution and measurement. Subsequently, the Principal Data Scientist have strong prioritization skills, while being dynamic and agile
The Principal Data Scientist must also be able to communicate complex quantitative analyses in a clear, precise, and actionable manner to management and executive level audiences while being able to build relationships with their partners.Â The Principal Data Scientist must be proactive and work with a sense of urgency
10+ years technical experienceÂ
2+ years project and/or people leadership experience
Extensive experience solving analytical problems using quantitative and qualitative approaches. Specifically, demonstrated practical experience in building end to end data science solutions and applying machine learning methods to real world problems.
Experience with state-of-the-art techniques in machine learning algorithms, including deep neural networks, NLP, dimensionality reduction, ensemble methods, graph algorithms.
Experience with cloud-based ecosystems (GCP, AWS, Azure)
Experience in NLP with Audio and Video data
Experience in image processing
Strong programming skills in at least one language such as Python, Java, Scala or R.
Experience with providing strategic advice and guidance to functional teams in a collaborative fashion; working alongside other analytic individuals and teams
Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting
Has experience with Deep Learning models, AI development, agile software launching, Tensorflow experience, and/or deploying model pipelines across various technologies, such as Kubernetes or Docker.
Understanding of hardware to enable various Data Science technologies (i.e. GPU application in Deep Neural Network development)
Successful demonstrated experience in working with senior executives to develop and drive segment or enterprise-wide functional strategies
Ability to advise one or more areas, programs or functions
Ability to work at very high levels in multiple knowledge and functional areas across the enterprise
Experience leading and growing junior talent
Experience with disrupting or leading a wave of change in their industry
Ph. D Degree
3-5+ years project and/or people leadership experience
Experience working with data from wearables and Internet of Things (IoT)
Experience deploying ML with wearables, apps, IoT, etc.
Big data experience (Hive, Spark, HDFS) a big plus!
Experience in Healthcare data
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