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[Remote] Lead Data Scientist- Recommendation Systems

Remote role Full-time Open position

Note: The job is a remote job and is open to candidates in USA. Tiger Analytics is a fast-growing advanced analytics consulting firm looking for experienced Data Scientists. The Lead Data Scientist will be responsible for designing and implementing recommendation systems while leading projects and mentoring teams.

Responsibilities

  • Design, develop, and optimize end-to-end recommendation systems, from data ingestion to model deployment
  • Build, fine-tune, and evaluate recommendation algorithms for scalability and performance
  • Collaborate with engineering and product teams to integrate ML solutions into business applications
  • Lead and manage projects, ensuring timely delivery of solutions aligned with business objectives
  • Provide technical guidance and mentorship to junior data scientists and engineers
  • Work directly with clients and stakeholders, demonstrating strong communication and problem-solving skills
  • Drive innovation by exploring and implementing new techniques in recommendation systems and AI
  • Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization
  • Collaborate, coach, and learn with a growing team of experienced Data Scientists

Skills

  • 8+ years of overall experience in Data Science / Machine Learning
  • 3+ years of hands-on experience in Recommendation Systems
  • Proven expertise in recommendation algorithms and MLE practices
  • Strong programming skills in Python- Production level coding and SQL
  • Experience working with Databricks, Azure, and Google Cloud Platform (GCP)
  • Demonstrated leadership and project management experience
  • Proactive, accountable, and able to take ownership of complex initiatives
  • Exceptional communication and collaboration skills to understand business partner needs and deliver solutions and explain to business stakeholders
  • Stakeholder Influence: Ability to lead high-stakes analytics engagements and translate complex data findings into 'so-what' insights for senior leadership
  • Communication: Exceptional presentation skills, capable of driving strategic conversations and building consensus across diverse organizational teams
  • Growth Mindset: A proactive hunger to learn emerging technologies and adapt to the evolving healthcare data landscape

Company Overview

  • Tiger Analytics offers data analytics and predictive modeling solutions for retail, social media, and online advertising sectors. It was founded in 2010, and is headquartered in Santa Clara, California, USA, with a workforce of 5001-10000 employees. Its website is http://www.tigeranalytics.com.
  • Company H1B Sponsorship

  • Tiger Analytics has a track record of offering H1B sponsorships, with 41 in 2026, 259 in 2025, 158 in 2024, 93 in 2023, 176 in 2022, 123 in 2021, 64 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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