Lead Data Scientist – Recommendation Systems

🕒 3 dias atrás

🗽 New York – Remoto

🗽 New York – Remote

⏰ Tempo Integral

🟠 Sênior

📊 Cientista de Dados

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Tiger Analytics

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2011

🤖 Inteligência Artificial

🤝 B2B

Artificial Intelligence • B2B • Consulting

A Tiger Analytics é uma consultoria líder em IA e analytics, especializada em aplicar ciência de dados e Machine Learning para gerar insights estratégicos de negócio em diversos setores. Oferecemos serviços de estratégia de dados, engenharia de IA e business intelligence, viabilizando a tomada de decisão orientada por dados e a transformação digital de nossos clientes. A Tiger Analytics colabora com parceiros de tecnologia de ponta, como Microsoft, Google Cloud e AWS, para entregar soluções de última geração. Atendemos a uma ampla gama de segmentos, incluindo bens de consumo embalados (CPG), saúde e serviços financeiros, ajudando as empresas a operacionalizar insights e a se diferenciar com tecnologias de IA e Machine Learning.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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.