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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Data Scientist- Recommendation Systems - **Company:** Tiger Analytics - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Microsoft Azure, Business Software, Computer Programming, Python (Programming Language), Machine Learning, Recommender Systems, SQL Databases, Google Cloud, Data Ingestion, Software Coding, Databricks - **Published:** June 18, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=f3bcb5117dc9b1de ## About the Role Do you have experience in Stakeholder management?, 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 ., * 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. ## 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. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)](https://www.wearedevelopers.com/videos/752-how-we-built-a-machine-learning-based-recommendation-system-and-survived-to-tell-the-tale) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1520-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [The Prompt Engineer ✍️](https://www.wearedevelopers.com/magazine/216-the-prompt-engineer)