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.
Apply directly at Shopltk →Create a free account for alerts like thisView Shopltk immigration profile
This listing is sourced directly from Shopltk's careers page and normalized into a canonical job model.