Fluor is hiring for an entry level Data Scientist 1 role in US

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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