Shopltk

Shopltk

Manager, Engineering - Data Science

United States · Contract

Sponsorship not specifiedDetected 28 days ago
PythonSQLAWSGCPCloud PlatformsMachine LearningData ScienceNLPLLMsRAGAgentic AIStatisticsA/B TestingLeadershipCommunicationCollaborationMentoringAdaptability

About the role

  • This includes providing technical guidance to teams on modeling, experimentation, evaluation, and production readiness.
  • Strong ownership, prioritization, and follow through.

Responsibilities

  • Drive the development of LTK AI native platform and LLM powered workflows while thinking about cost efficiency.
  • Also, partner with engineering to productionize models and build reliable AI systems.
  • Own team execution and help ensure features are delivered on time and at high quality.
  • Hire, develop, and retain strong data science talent.
  • Set clear expectations, provide regular feedback, and proactively manage the team's performance.

Requirements

  • 3+ years of experience managing data scientists, or equivalent experience leading projects and mentoring others.
  • Experience with agentic AI, LLMs, advanced RAG, and workflow based AI systems.

Nice to have

  • Experience in marketplace, social commerce, or recommendation driven products.
  • Experience with large scale or real time data systems.
  • 401(k) with LTK company matching
  • The full-service platform connects brands, creators, and shoppers with a world-class shopping app and trusted tools and technology that make content instantly shoppable.
  • More than 40 million consumers turn to LTK Shops in the LTK shopping platform each month to find inspiration and instantly shop the styles recommended by their favorite creators.
  • LTK is headquartered in Dallas, TX, and currently operates on five continents.
  • Commit to the journey

Skills

  • Strong foundation in machine learning, statistics, and data analysis.
  • Experience with experimentation, model evaluation, and real world AI applications/systems.
  • Familiarity with cloud platforms such as AWS/GCP/Azure.
  • Strong Python and SQL skills.
  • Experience driving projects from planning through execution while embracing AI coding assistant tools.
  • Strong cross functional collaboration skills.

Compensation

  • Competitive compensation and benefits package to meet the needs of you and your family

Company info

  • To empower the world's premium lifestyle Creators to achieve maximum economic success.
  • Here to win
  • Work well
  • Commitment to diversity
  • LTK believes diversity, equity, and inclusion are fundamental obligations that strengthen our team.
  • We employ a diverse, multi-disciplinary team to build a meaningful company and culture.
  • For US-Based Roles: We are not offering new sponsorships opportunities at this time for persons requiring employment visas, such as an H-1B; authorization to work in the U.S. is a precondition of employment.
  • Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of LTK are considered the property of LTK and are not subject to payment of agency fees.
  • LTK is an Equal Opportunity Employer. #LI-Remote
  • We are hiring a Data Science Manager to lead a team building LTK's native AI platform and conversational AI capabilities across the company.
  • LTK's mission is to empower the world's premium lifestyle Creators to achieve maximum economic success.
  • We have a huge opportunity ahead of us and we're looking for team members who want to create, innovate and disrupt an industry.
  • We empower our team members to drive innovation, create value, and continue to spearhead the creation of this industry - a game changer when it comes to career growth.

Equal opportunity

  • Equal Opportunity Employer. #LI-Remote

Visa & Work Authorization

  • We are not offering new sponsorships opportunities at this time for persons requiring employment visas, such as an H-1B; authorization to work in the U.S. is a precondition of employment.

This listing is sourced directly from Shopltk's careers page and normalized into a canonical job model.