Position:
Data Scientist I
Company:
Fluor
Location:
Houston, Texas, United States
Job Type:
Full-time
Job Mode:
On-site
Job Requisition ID:
148982BR
Years of Experience:
Entry-level position
Company Description:
Fluor is a globally recognized company dedicated to designing, building, and executing projects that shape the world. With a strong emphasis on innovation, teamwork, and problem-solving, Fluor fosters a collaborative work environment that promotes out-of-the-box thinking and professional growth.
The company is committed to creating impactful solutions through cutting-edge technology and data-driven strategies. Employees at Fluor work on large-scale, high-value projects across various industries, contributing to advancements in infrastructure, engineering, and construction.
Fluor’s culture emphasizes continuous learning and career development, making it an ideal workplace for individuals seeking long-term professional growth. The company offers an inclusive and diverse environment where employees can thrive and contribute to meaningful projects worldwide.
With a commitment to ethical business practices and a people-first approach, Fluor remains a leader in the industry, offering opportunities to build a successful and rewarding career in data science and analytics.
Profile Overview:
The Data Scientist I role primarily involves working in the analytics domain, supporting EPHD® Analysts in various analytical tasks. Responsibilities will expand based on demonstrated skills, experience, and confidence in handling data-driven projects.
The candidate will collaborate with the data rationalization team and other data scientists across different regions (United States, AMS, and India) to develop an in-depth understanding of Fluor’s EPC Model.
This role includes handling diverse tasks such as data preparation, extraction, validation, cleansing, problem identification, reference class development, testing, smart report visualization, and descriptive analytics.
As the candidate progresses in expertise, responsibilities may extend to predictive modeling, scenario simulations, IT system integrations, and cross-team collaboration.
The position involves working closely with information technology teams, data support specialists, project groups, and other stakeholders to ensure the accuracy, integrity, and usability of analytics insights.
The ideal candidate will be responsible for transforming complex data into clear, actionable insights that drive informed decision-making within Fluor’s engineering, procurement, and construction sectors.
The role is suitable for entry-level professionals with a passion for data science, problem-solving, and data-driven decision-making.
Qualifications:
A bachelor’s degree in Mathematics, Statistics, or a related field, with coursework in data science, analytics, or machine learning.
Exposure to projects and internships in data analytics, with a foundational understanding of predictive modeling and statistical machine learning techniques.
A strong academic background with a high GPA from a well-ranked university.
Industry experience or internships involving real-world applications of statistical, mathematical, or predictive modeling concepts.
Proficiency in programming languages such as R, Python, SQL, Java, JavaScript, and JSON. Familiarity with Shiny (Posit), Plotly, and version control systems (GIT, TFS, DevOps) is highly desirable.
Knowledge of database systems, including SQL, and experience with other database technologies such as MongoDB is a plus.
Flexibility to support teams across multiple time zones, including Asia, Europe, and the United States, and willingness to work early or off-hour shifts when required.
Strong problem-solving skills, analytical mindset, and attention to detail, with a willingness to continuously learn and adapt.
Additional Info:
Key Responsibilities:
Develop and enhance R/Python and SQL scripts for data extraction, transformation, and cleaning.
Support data preparation and visualization tasks using R, Python, Java, and Fluor’s proprietary tools.
Integrate datasets, develop database queries, and perform statistical analyses to create data-driven insights.
Collaborate with functional experts to conduct exploratory data analysis and diagnose execution issues in large-scale capital projects.
Design, develop, and test analytics charts and visualization tools for operational and predictive decision-making.
Write JSON objects, JavaScript code, and maintain version control using Git.
Work on real-time data manipulation and chart development, contributing to analytical insights for project teams.
Assist in quality assurance testing for analytics developments and IT integrations.
Participate in peer reviews and contribute to maintaining high-quality data science standards within Fluor’s analytics teams.
Required Skills and Attributes:
Ability to work in a fast-paced, multidisciplinary environment.
Strong sense of urgency, work ethic, and collaboration skills.
Ability to multitask, self-motivate, and take initiative in problem-solving.
Eagerness to learn and adapt to new technologies, methodologies, and best practices in data science.
Effective communication skills, with the ability to present complex data insights in a clear and actionable manner.
Passion for uncovering insights from data and applying analytics to real-world engineering and project management challenges.
Salary Range:
$68,000 to $118,000 per year.
The final salary is determined based on factors such as qualifications, experience, location, and market conditions.
Benefits:
Comprehensive health benefits, including medical, dental, and vision plans.
Employee Assistance Program (EAP), disability coverage, and life insurance.
401(k) retirement savings plan with company match.
Paid time off, including personal, bereavement, sick leave, and holidays.
Parental leave and professional training opportunities.
Career development programs and opportunities for skill enhancement.
Workforce Inclusion:
Fluor is an equal opportunity employer committed to diversity and inclusion.
All qualified candidates will be considered regardless of race, gender, age, religion, disability, or other protected characteristics.
Application Requirements:
Candidates must be authorized to work in the United States.
Background checks will be conducted, including education verification, professional registration validation, employment history review, and passport verification.
Fluor is seeking passionate individuals who are eager to build a career in data science and analytics. If you are a driven, detail-oriented professional with a keen interest in leveraging data for impactful decision-making, this role offers an excellent opportunity to grow and contribute to meaningful projects. Apply today and be a part of Fluor’s mission to design and execute transformative solutions worldwide.
Please click here to apply.
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