Senior Data Scientist
|Job Title:||Senior Data Scientist|
|Contact Name:||Thomas Lhoest|
|Job Published:||July 20, 2016 12:13|
The Data Scientist will address statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets into one of the most challenging data analytics projects worldwide.
As a Data Scientist, you will be part of a data science or cross-disciplinary team on commercially-facing development projects, typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in business units. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization.
In this role, you will:
Develop analytics within well-defined projects to address customer needs and opportunities.
Work alongside software developers and software engineers to translate algorithms into commercially viable products and services.
Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
Perform exploratory and targeted data analyses using descriptive statistics and other methods.
Work with data engineers on data quality assessment, data cleansing and data analytics
Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes.
Share and discuss findings with team members.
Basic Qualifications :
Bachelor's Degree in Science, Technology, Engineering, Mathematics or similar
Minimum 2 years analytics development in a commercial setting
Demonstrated skill in the use of one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python)
Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment
Demonstrated skill in the use of applied analytics, descriptive statistics, and predictive analytics on industrial datasets
Desired Characteristics :
Technical Expertise :
Applies real-time, Security, Computation, and Data Availability/ Quality.
Executes validation reproducibility, and deployment criteria.
Applies and integrates multiple data sources and systems, aware of adjacent systems and data analytics capabilities (e.g., machine learning, principle component analysis).
Seeks information that provides insight on the current state customers' business.
Possesses industry knowledge at a high level and researches industry trends, market, key players, etc.
Seeks to understand the products of their business (e.g. gas turbine engines) and fundamentals of their design & operation.
Systematically breaks problems into component parts. Identifies a successful solution and quantifies the associated risks/outcomes of the solution.
Seeks ideas from others to improve the work group's capabilities
Distils information down to key points. Expresses the information clearly and concisely. Projects knowledge of relevant data
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