Senior Manager, Data Science (Anti-Abuse)

LinkedIn is the world's largest professional network, built to help members achieve more in their careers.
$167,000 - $267,000
Data
Staff Software Engineer
In-Person
1,000 - 5,000 Employees
10+ years of experience
Enterprise SaaS

Description For Senior Manager, Data Science (Anti-Abuse)

LinkedIn, the world's largest professional network, is seeking a Senior Manager of Data Science to join their Trust Data Science team. This role focuses on Anti-abuse initiatives, specifically targeting inauthentic accounts and behavioral abuse prevention.

The position offers an exciting opportunity to lead data science efforts in one of LinkedIn's top priority areas - protecting member identity and social graph integrity. You'll be working at the intersection of data science, security, and user trust, developing solutions to combat fake accounts, account takeovers, scraping, automation, and fake engagement.

As a senior leader, you'll be responsible for building and nurturing a technology-driven culture while overseeing highly talented scientists and engineers. The role requires a unique blend of technical expertise, leadership skills, and business acumen. You'll be expected to translate complex data insights into actionable strategies and communicate effectively with various stakeholders.

The ideal candidate brings 10+ years of experience, with specific expertise in anti-abuse systems and applied statistics. You'll need to demonstrate strong leadership capabilities, either through direct management experience or staff-level technical leadership. The role offers competitive compensation ($167,000-$267,000) and comprehensive benefits.

Key aspects of the role include championing data-driven decision making, guiding technical architecture and best practices, and partnering with cross-functional teams to drive strategic initiatives. You'll play a crucial role in shaping product strategy and maintaining the integrity of LinkedIn's professional network.

The position is based in the San Francisco Bay Area and offers the opportunity to work with cutting-edge technologies while solving complex challenges at scale. You'll be part of LinkedIn's mission to create economic opportunity for every member of the global workforce, while ensuring the platform remains safe and trusted.

Success in this role requires more than technical skills - you'll need to be an inspiring leader who can build strong teams, mentor effectively, and foster innovation. The role offers significant growth opportunities through building and supporting strong leaders, defining clear accountability, and maximizing cross-organizational alignment.

LinkedIn offers a comprehensive benefits package including health and wellness programs, generous time away, and fair compensation. The company is committed to diversity and inclusion, providing an environment where all employees can thrive and contribute to the mission of professional advancement worldwide.

Last updated 3 days ago

Responsibilities For Senior Manager, Data Science (Anti-Abuse)

  • Act as a champion for a data-driven culture
  • Drive meetings and lead discussions with technical and business audiences
  • Craft compelling stories and make logical recommendations
  • Guide architecture, data models, and engineering best practices
  • Partner with cross-functional teams to lead strategic projects
  • Act as a thought partner to senior leaders
  • Drive org-wide impact by shaping product and business strategy

Requirements For Senior Manager, Data Science (Anti-Abuse)

Python
  • BS (or higher, e.g., MS, or PhD) in technical or quantitative field
  • 3+ years relevant work experience in Anti-abuse
  • 2+ years of management experience or staff level data science experience
  • 10+ years of overall experience
  • Strong sense of ownership and intellectual curiosity
  • Excellent communication skills
  • Expertise in applied statistics

Benefits For Senior Manager, Data Science (Anti-Abuse)

Medical Insurance
401k
Parental Leave
  • Health and wellness programs
  • Generous time away
  • Fair and equitable compensation

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