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Overnight Meta Data Scientist Jobs (NOW HIRING)

Meta

Data Science Director (IC)

Sunnyvale, CA

$253K/yr

The Data Science Director will collaborate with Engineering and Product executives across Meta Ads and the Family of Apps Monetization teams. The candidate will have extensive experience in large ...

Meta

Data Science Director (IC)

New York, NY

$253K/yr

The Data Science Director will collaborate with Engineering and Product executives across Meta Ads and the Family of Apps Monetization teams. The candidate will have extensive experience in large ...

Meta

Data Science Director (IC)

Bellevue, WA

$253K/yr

The Data Science Director will collaborate with Engineering and Product executives across Meta Ads and the Family of Apps Monetization teams. The candidate will have extensive experience in large ...

Meta

Data Science Director (IC)

Menlo Park, CA

$253K/yr

The Data Science Director will collaborate with Engineering and Product executives across Meta Ads and the Family of Apps Monetization teams. The candidate will have extensive experience in large ...

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Overnight Meta Data Scientist information

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$46K

$165K

$243.5K

How much do overnight meta data scientist jobs pay per year?

As of Aug 8, 2026, the average yearly pay for overnight meta data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What skills and qualifications are needed to thrive as an overnight meta data scientist?

To thrive as an Overnight Meta Data Scientist, you need a strong background in statistics, machine learning, and data analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with programming languages such as Python or R, experience with big data tools like Spark or Hadoop, and proficiency in data visualization platforms are often required. Strong problem-solving skills, attention to detail, and the ability to communicate findings clearly are essential soft skills for this role. These abilities are crucial for extracting actionable insights from complex datasets and supporting data-driven decision-making, even during off-hours when support may be limited.

What are some unique challenges faced by overnight meta data scientists, and how can they be addressed?

Overnight Meta Data Scientists often work during non-standard hours, which can present challenges such as limited real-time collaboration with daytime teams and the need to manage alert fatigue or solo problem-solving. To address these, it's important to establish clear handoff protocols, utilize asynchronous communication tools, and maintain detailed documentation for ongoing projects. Additionally, Overnight Data Scientists often focus on monitoring critical systems or running batch data processes, so developing strong troubleshooting skills and self-reliance is key. Many organizations support these roles with flexible scheduling and remote work options to help maintain work-life balance.

What is an overnight meta data scientist?

An Overnight Meta Data Scientist is a professional who works primarily during nighttime hours to analyze and interpret large datasets, often utilizing advanced statistical and machine learning techniques. The 'meta' aspect refers to working with metadata—data that provides information about other data—helping organizations optimize data management, enhance searchability, and improve data-driven decision-making. These scientists often monitor automated systems, ensure data pipelines are functioning, and may address urgent issues that arise outside of regular business hours. Their work is critical for organizations that require round-the-clock data processing and analysis, such as global tech companies and online platforms.

What is the difference between Overnight Meta Data Scientist vs Data Analyst?

AspectOvernight Meta Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; knowledge of machine learning and programmingBachelor's in Data Analysis, Statistics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTypically in tech companies or research labs, often with flexible or overnight shiftsUsually in corporate offices, with standard daytime hours
Employer & Industry UsageTech firms, e-commerce, social media platformsFinance, marketing, healthcare, retail

Overnight Meta Data Scientists focus on advanced data modeling, machine learning, and large-scale data analysis, often working overnight shifts in tech environments. Data Analysts primarily handle data collection, cleaning, and reporting during regular hours. While both roles require strong analytical skills, the Meta Data Scientist role emphasizes technical expertise in algorithms and programming, whereas Data Analysts focus on interpreting data for business insights.

What cities are hiring for Overnight Meta Data Scientist jobs? Cities with the most Overnight Meta Data Scientist job openings:
What are the most commonly searched types of Meta Data Scientist jobs? The most popular types of Meta Data Scientist jobs are:
What states have the most Overnight Meta Data Scientist jobs? States with the most job openings for Overnight Meta Data Scientist jobs include:
Overnight Meta Data Scientist jobs near you
Infographic showing various Overnight Meta Data Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist, Product Analytics

Meta

Menlo Park, CA • On-site

Full-time

Re-posted 20 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 242 rated software companies

Job description

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (...

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