Data Analyst - Security, Integrity, & Investigations

We are seeking a highly skilled Data professional to join our Law Enforcement Analytics & Program team. In this role, you will be responsible for leveraging data and analytics to help ensure the safety and security of our users. You will work closely with cross-functional teams to identify and mitigate risks, develop and implement solutions, and measure the effectiveness of our efforts. The ideal candidate will have a background in data science, including experience with statistical modeling. You should also have good communication skills and have demonstrated experience of collaborating effectively with both technical and non-technical stakeholders. If you are passionate about using data to make a positive impact on the world, we encourage you to apply for this exciting opportunity.

Responsibilities:

Statistical Analysis/Modeling - Leverages methods ranging from descriptive statistics to measurement models to answer exploratory and hypothesis-based questions to inform data-driven decisions. Leverages forecasting techniques to draw insights.
Storytelling through Data - Leverages data to create business stories that are clearly and concisely communicated through a wide range of relevant communication and presentation tools and techniques that drive actions.
Data Integration - Extracts and combines data from disparate, often heterogeneous sources using various technologies in order to provide a unified view of the data.
Developing metrics - Identifies metrics that reflect operational success and inform business objectives. Evaluates opportunities as they arise, based on impact analysis and business priorities.
Programming - Develops data solutions optimized to solve complex business problems using scripting languages.

Minimum Qualifications:

Bachelor’s Degree in Computer Science or related field
5+ years of experience in Data Science field, including the ability to script in relevant languages
Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)

Preferred Qualifications:

Master’s Degree in Computer Science or related field
8+ years of experience in Data Science field

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps 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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Seniority level

Not Applicable

Employment type

Full-time

Job function

Information Technology

Industries

Technology, Information and Internet