Job Descriptions

Job purpose / summary

This role will help shape the future by utilizing knowledge and expertise of machine learning and big data to challenge the status quo and provide creative solutions to business problems. This role will be expected to gain significant domain knowledge across multiple areas and help them make effective data-based decisions. Involves working with internet-scale data across numerous product and customer touch points, undertaking in-depth quantitative analysis and building models to drive strategy.

Duties and responsibilities

The ideal candidate will be responsible for:

• Creating analytical models, such as customer segmentation, experience impact analysis, and test and control designs to evaluate business decisions and opportunities
• Developing data mining, machine learning, statistical and graph basing algorithms designed to analyze massive data sets for business insights
• Supporting the further development of advanced analytical methods by extracting and mining vast amounts of data from multiple sources to provide actionable insights for solving business problems
• Applying advanced statistical and computational methodologies to provide actionable insights and identifying strategic opportunities
• Data acquisition, feature engineering, training, validation, deployment
• Providing applied science technical advice and analytic support to the management of external pilot projects that develop new systems, algorithms, and technical approaches

Competencies

The following basic application of the following KSAs are relevant:

• Synthesizing complex qualitative and quantitative data to form clear, well supported, data driven recommendations for non-technical audiences and the ability to present results to internal stakeholders
• Demonstrating a thorough understanding of concepts related to statistical methods and operations research and how to use them for solving real world problems
• Understanding software skills such as business analysis in an analytical framework for development, maintenance, and ongoing application improvement
• Using exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data sets and discovering opportunities in datasets to support decision making
• Leading complex data science programs that design solutions across one or more technologies and one or more data sources
• Finding opportunities exploring novel methods of retrieving data and developing innovative recommendations to management and senior leadership as a means for making data-driven decisions such as modification of processes and policies
• Data visualization techniques
• Business Process Integration
• Process Management
• IT Management
• Business Process Improvement
• Research Management
• Quality Management System
• Data Management
• Technology Management
• IT Service Management
• Operational Risk Management
• Business Process Changes

Tools and technology

• Utilizing advanced mathematical models, machine learning algorithms, operations research techniques, and strong business acumen to deliver insight, recommendations and solutions
• Performing advanced quantitative and statistical analysis of large datasets to identify trends, patterns, and correlations that can be used to improve business performance
• Using advanced analytical thought to model techniques and algorithms, and tune, modify and implementing changes to address complex and different business problems
• Using distributed software tools including data collection, data process, big data, machine learning services and visualization technologies
• Web based services
• Machine learning algorithms
• Computer science fundamentals
• Programming languages
• Data extraction, transformation and loading
• Big Data processing frameworks
• Database management systems and applications
• Microsoft SQL Server
• SQL Server Management Studio
• SQL Server Integration Services
• Microsoft Team Foundation Server
• Microsoft Applications
• Microsoft Access
• Microsoft Project
• Oracle SQL Developer
• Open-source Software
• Microsoft Excel
• Microsoft Windows
• Microsoft Cognitive Toolkit
• Core Java
• Database Management Systems
• Oracle Database

Reporting relationship

To be completed by the user of this job description as appropriate

Direct reports (if appropriate)

To be completed by the user of this job description as appropriate

Qualifications

Education

To be completed by the user of this job description as appropriateBachelor’s degree in computer science, computer engineering or related discipline or equivalent training and experience. 

Certifications

To be completed by the user of this job description as appropriate

Other relevant qualifications

To be completed by the user of this job description as appropriate

Key Attributes

To be completed by the user of this job description as appropriate

Experience

To be completed by the user of this job description as appropriate

Working conditions (if required)

If the job requires a person to work in special working conditions this should be stated in the job description. Special working conditions cover a range of circumstances from regular evening and weekend work, shift work, working outdoors, working with challenging clients, and so forth.

Physical requirements (if appropriate)

If the job is physically demanding, this should be stated in the job description. A physically demanding job is one where the incumbent is required to stand for extended periods of time, lift heavy objects on a regular basis, do repetitive tasks with few breaks, and so forth.