Lead Data Scientist

Facebook; United States; Remote; USD 100,000 - 125,000; Full time

Job summary

Facebook is seeking a strategic Lead Data Scientist for the Edge Network Services division. The role involves leading the M360 Analytics project, enhancing operational efficiency, and providing mentorship to junior team members. You will drive the design of scalable data solutions and collaborate with stakeholders to deliver impactful insights.

Benefits

Medical insurance

Vision insurance

401(k) Plan

15 Paid Time Off Days (PTO)

Qualifications

• 7+ years of experience in data science or analytics.
• 2+ years in a leadership role.
• Familiarity with cloud platforms and big data technologies.

Responsibilities

• Lead the design of scalable data solutions.
• Oversee L1/L2/L3 metrics development.
• Mentor junior data scientists and deliver insights.

Skills

Data modeling

ETL processes

Data visualization

Education

Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering

Tools

SQL

Python

R

Tableau

Power BI

Job description

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This range is provided by Facebook. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$75.00/hr - $88.00/hr

Meta - W2 Contract

Lead Data Scientist - Remote

Job Description:

We are looking for a experienced and strategic Lead Data Scientist to join the Edge Network Services (ENS) division. This role will lead the M360 Analytics project, a critical initiative aimed at enhancing operational efficiency through data-driven decision-making, robust metrics development, and automation of key financial tracking systems.

As a senior member of the ENS Analytics team, you will drive the design of scalable data solutions, oversee the development of L1/L2/L3 metrics, and lead the automation of Opex and Capex tracking. You will also mentor junior data scientists, collaborate with cross-functional stakeholders, and ensure the delivery of high-impact insights through dashboards, reports, and self-service analytics tools.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.
• 7+ years of experience in data science, analytics, or a related field.
• 2+ years of experience in a leadership or mentorship role. Proficiency in SQL and at least one programming language (Python or R preferred). Expertise in data visualization tools (e.g., Tableau, Power BI, or internal equivalents).
• Strong background in data modeling, ETL processes, and data warehousing.
• Familiarity with cloud platforms and big data technologies (e.g., Hive, Presto, Spark).

Job Info:

• Job Type: Contract (W2)
• Job Location: Remote
• Job Duration: 1 year, plus 1 year extension (2 years)
• Hourly Pay: $75.00-$88.00 per hour
• Work Hours: Monday-Friday / 40 hours per week

Featured Benefits:

• Medical insurance
• Vision insurance
• 401(k) Plan
• 15 Paid Time Off Days (PTO)

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Analyst and Engineering

• Industries

  Software Development and IT Services and IT Consulting

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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