Data Scientist

AECOM; Austin (TX); Remote; USD 221,000 - 236,000; Full time

Job summary

AECOM is seeking a skilled Data Scientist to enhance data-driven decision-making across company infrastructure. This role involves statistical analysis, project management, and collaboration with cross-functional teams. Candidates are expected to hold a relevant bachelor’s degree and demonstrate expertise in key statistical methodologies and programming languages like SQL and Python.

Qualifications

• Requires Bachelor’s degree in a related field.
• Undergraduate-level experience with quantitative analysis, A/B testing, and statistical modeling is essential.

Responsibilities

• Collect and analyze statistical data to support company growth.
• Develop business intelligence project roadmaps in collaboration with teams.
• Build scalable, statistically rigorous solutions for data infrastructure issues.

Skills

Quantitative Analysis

A/B Testing

Statistical Modeling

Data Mining

Data Visualization

SQL

Python

Education

Bachelor’s degree in Statistics, Mathematics, Data Analytics, Computer Science, Engineering, Cognitive Science

Job description

**Summary:**

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.

**Required Skills:**

Data Scientist Responsibilities:

1. Collect, organize, interpret, and summarize statistical data in order to contribute to the continued growth of company infrastructure.

2. Apply experience in quantitative analysis and data mining to improve, and optimize across a variety of domains with an emphasis on long-term and strategic initiatives.

3. Work cross-functionally to define priorities and develop business intelligence project roadmaps in synergy with partner teams.

4. Drive execution through fast iteration.

5. Ensure coordination of projects across related workflows to maximize impact and avoid duplication and overlaps.

6. Drive efficient data exploration and modeling.

7. Build pragmatic, scalable, and statistically rigorous solutions to large-scale web, mobile and data infrastructure problems by leveraging or developing statistical and machine learning methodologies.

8. Work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors.

9. Telecommuting is permitted from anywhere in the U.S.

**Minimum Qualifications:**

Minimum Qualifications:

10. Requires a Bachelor’s degree (or foreign equivalent) in Statistics, Mathematics, Data Analytics, Computer Science, Engineering, Cognitive Science, or a related field. Requires completion of an undergraduate-level course, research project, or internship involving the following:

11. 1. Quantative Analysis

12. 2. A/B Testing and Research Design

13. 3. Statistical Modeling

14. 4. Data Mining

15. 5. Data Visualization and Storytelling

16. 6. SQL

17. 7. Python.

**Public Compensation:**

$221,024/year to $235,400/year + bonus + equity + benefits

**Industry:** Internet

**Equal Opportunity:**

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].