Senior Data Scientist
|Job Title:||Senior Data Scientist|
|Salary:||US$120000.00 - US$135000.00 per annum|
|Contact Name:||Tim Tirabassi|
|Job Published:||May 09, 2019 20:52|
The Senior Data Scientist uses mathematics, statistics, modelling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors.
The Senior Data Scientist develops, maintains, and collects structured and unstructured data sets for analysis and reporting. Creates reports, projections, models, and presentations to support business strategy and tactics. Makes decisions on moderately complex issues regarding technical approach for project components, and work is performed with minimal direction. Voices suggestions and opinions in determining objectives and approaches to assignments.
Bachelor's Degree and 4+ years technical experience OR Master's Degree and 2+ years technical experience
2+ years project leadership experience
Experience obtaining data from multiple, disparate data sources including structured, semi structured and unstructured data.
Use of machine learning and data mining techniques to understand the patterns in large volumes of data, identify relationships, detect data anomalies, and classify data sets.
Successful demonstrated experience in working on problems of diverse scope and complexity ranging from moderate to substantial in a collaborative fashion alongside other individuals or teams.
Experience in creating reports, projections, models, and presentations to support business.Â '
Specifically, has experience with Deep Learning models, AI development, agile software launching, Tensorflow experience, and/or working with data integration developers to assess data quality and define data processing business rules for cleansing, aggregation, enhancement, supporting analysis and predictive modelling activities.
Designing and building algorithms and predictive models using techniques such as linear and logistic regression, support vector machines, ensemble models (random forest and/or gradient boosted trees), neural networks, and clustering techniques.
Ability to exercise independent judgment and decision making on complex issues regarding job duties and related tasks
Ability to work using independent judgment
Presenting complex analysis results tailored to different audiences (e.g. technical, manager, executive) in a highly consumable and actionable form including the use of data visualizations
Experience with deploying model pipelines across various technologies, such as Kubernetes or Docker.
Experience with Natural Language Processing, Keras, and/ or H2O
Experience working in Agile environments (i.e. Jira)
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