Lead Data Scientist- Recommendation Systems

Tiger Analytics Inc.

12h

About The Position

Tiger Analytics is seeking a highly skilled and experienced Lead Data Scientist with a strong background in Recommendation Systems and Machine Learning Engineering (MLE). The ideal candidate will have a proven track record in designing, implementing, and deploying large-scale recommendation solutions, while also leading projects and mentoring teams. This role requires technical depth, hands-on coding, and the ability to engage directly with clients and stakeholders. This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Requirements

• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed