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Data Scientist (Tech)


Job Description

Job purpose/summary

This role will help shape the future by utilizing their 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 basic science areas to help make effective data-based decisions. This role will involve working with data across numerous product and customer touchpoints, undertaking in-depth quantitative analysis, and building models.

Duties and responsibilities

The ideal candidate will be responsible for:

  • Creating analytical models, such as customer segmentation and experience impact analysis
  • Testing and controlling designs to evaluate business decisions and opportunities
  • Supporting the development of advanced analytical methods by extracting and mining vast amounts of data from multiple sources to provide actionable insights for solving business problems or finding opportunities for client program growth
  • Developing data mining, statistical and graph-based algorithms designed to analyze massive data sets for business insights
  • Utilizing advanced mathematical models, operations research techniques, and strong business acumen to deliver insight, recommendations, and solutions
  • Applying advanced statistical and computational methodologies to provide actionable insights and identifying strategic opportunities that optimize quality, consumer experience, and healthcare costs
  • 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 implement changes to address complex and different business problems/questions


The following basic application of the following KSAs are relevant:

  • 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 the modification of processes and policies
  • 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
  • Demonstrating a thorough understanding of concepts related to statistical methods and operations research and how to use them for solving real-world problems
  • Providing applied science technical advice and analytic support to the management of external pilot projects developing new systems, algorithms, and technical approaches
  • Understanding software skills such as business analysis in an analytical framework, development, maintenance, and software improvement
  • Synthesizing complex qualitative and quantitative data to form clear, well supported, data-driven recommendations for non-technical audiences and present results to internal stakeholders
  • Leading complex data science programs that design solutions across one or more technologies and one or more data sources
  • Business Process Integration
  • Process Management
  • IT Management
  • Business Process Improvement
  • Research Management
  • Quality Management System
  • Data Management
  • IT Service Management
  • Operational Risk Management
  • Time Management
  • Information Management

Tools and technology

  • Web-based software
  • Embedded services
  • 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



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


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


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, lift heavy objects regularly, do repetitive tasks with few breaks, and so forth.