Lead Data Scientist- Recommendation Systems

Role Description

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. We are 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.

• 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.
• Collaborate, coach, and learn with a growing team of experienced Data Scientists.

Qualifications

• 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.
• Ability to lead high-stakes analytics engagements and translate complex data findings into "so-what" insights for senior leadership.
• Exceptional presentation skills, capable of driving strategic conversations and building consensus across diverse organizational teams.
• A proactive hunger to learn emerging technologies and adapt to the evolving healthcare data landscape.

Benefits

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.

Company Description

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.