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 .
Key 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 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.
BenefitsThis position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
