Lead Data Scientist – Recommendation Systems

This is a fully remote position, open to applicants in New York.

📋 Description

• Design, develop, and enhance comprehensive recommendation systems, covering all aspects from data ingestion to model deployment.

• Construct, optimize, and assess recommendation algorithms for improved scalability and performance.

• Collaborate with engineering and product teams to incorporate machine learning solutions within business applications.

• Lead and oversee projects, ensuring timely delivery of solutions that align with business goals.

• Provide technical mentorship and guidance to junior data scientists and engineers.

• Engage directly with clients and stakeholders, showcasing strong communication and problem-solving abilities.

• Foster innovation by investigating and applying new techniques in recommendation systems and artificial intelligence.

• Keep up-to-date with industry trends and best practices in data science, replenishment optimization, and supply chain management, leveraging this knowledge to inspire innovation within the organization.

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

⛳️ Requirements

• 8+ years of overall experience in Data Science / Machine Learning, with a minimum of 3 years of hands-on experience in Recommendation Systems.

• Demonstrated expertise in recommendation algorithms and machine learning engineering practices.

• Strong programming proficiency in Python, including production-level coding, and SQL.

• Experience with Databricks, Azure, and Google Cloud Platform (GCP).

• Proven leadership and project management skills.

• Proactive, responsible, and capable of taking ownership of complex projects.

• Exceptional communication and collaboration skills to comprehend business partner requirements and deliver solutions while explaining findings to business stakeholders.

• Stakeholder Influence: Ability to lead significant analytics projects and translate complex data insights into actionable recommendations for senior leadership.

• Communication: Outstanding presentation skills, able to drive strategic discussions and build consensus among diverse organizational teams.

• Growth Mindset: A proactive desire to learn about emerging technologies and adapt to the changing healthcare data landscape.

🏝️ Benefits

• This position presents an excellent opportunity for substantial career growth in a rapidly expanding and challenging entrepreneurial environment with a high level of individual responsibility.

• Tiger Analytics offers equal employment opportunities to applicants and employees regardless of 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 protected by federal, state, or local law.