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Data Scientist




Diversity Statement

At Fluor, we are proud to design and build projects and careers. This requires teams that are as unique as the projects we execute. We are committed to fostering a work environment that embraces Diversity, Equity, and Inclusion (DE&I) for all so our employees and stakeholders benefit from the creative solutions derived as a result of embracing differences.

Job Description

Responsibilities of the data scientist include data processing, performing descriptive analyses and performing predictive modeling. These performed analyses will be used for data exploration as well as for independent analyses. This position has a deep understanding of processes and systems to extract knowledge or insights from data in various forms, either structured or unstructured. assigned. Primary Job Duties:
• Use systems to improve and/or develop algorithms for structured and unstructured data processing
•Use statistical analysis to understand and work around possible limitations in models
• Predict future outcomes through predictive modelling
• Develop hypothesis and test them
• Develop or program databases and query them and perform statistical analysis
• Use Business strategy skills to build the algorithms that ask the right questions and find the right answers
• Use understanding of the business and strategy to create examples, prototypes, demonstrations
• Use understanding of design and architecture principles
• Integrate multiple systems and data sets
• Produce and articulate conceptual modelling for structured and unstructured data
• Work autonomously and in a team environment

Notice to Candidates:

Background checks are carried out as part of any conditional offer made, including (but not limited to & role dependant) education, professional registration, employment, references, passport verifications and Global Watchlist screening.

To be Considered Candidates:

Must be authorized to work in the country where the position is located and be able to interview on site., Must be authorized to work in the country where the position is located.

Basic Job Requirements

• Master’s degree in Data Science, Mathematics, Applied Mathematics, Statistics, Applied Statistics, Econometrics, Engineering or related discipline

Other Job Requirements

• High proficient understanding of statistical, mathematical, predictive modelling
• Ability to navigate the unknown
• Ability to work in a fast-paced multi-disciplinary environment
• Natural curiosity to go beneath the surface of a problem
• Ability to ask the right (business) questions.
• Possess the patience to find the unknown in massive data sets and develop the algorithm through trial-and-error
• Both highly engaged while working in team and self-motivated when working independently
• Possess a strong sense of urgency and high work ethic
• Strong written and verbal communication skills

Preferred Qualifications

• Programming knowledge in Python and R, D3 is preferred but not required

Requisition Number


Diverse Workforce

We are an equal opportunity employer that recognizes the value of a diverse workforce. All qualified individuals will receive consideration for employment without regard to race, color, age, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, genetic information, or any other criteria protected by governing law.

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