Lead Data Scientist – Recommendation Systems

🕒 June 16

🗽 New York – Remote

🗽 New York – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Tiger Analytics

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

🏥 Healthcare

📦 Logistics

📣 Marketing

Healthcare • Logistics • Marketing

Tiger Analytics is a leading AI and analytics consulting firm that specializes in leveraging data science and machine learning to provide strategic business insights across various industries. They offer services in data strategy, AI engineering, and business intelligence to enable data-driven decision-making and digital transformation for their clients. Tiger Analytics collaborates with top technology partners like Microsoft, Google Cloud, and AWS to deliver cutting-edge solutions. They serve a diverse range of sectors including consumer packaged goods, healthcare, and finance, helping businesses operationalize insights and differentiate with AI and machine learning technologies.

📋 Description

• 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 Al. • 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.

🎯 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.

🏖️ 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. • 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.