Zestara

Location: Singapore (On-site / Hybrid / Remote options available) Job Description: We are looking for an experienced Lead Data Scientist to drive advanced analytics, machine learning, and AI initiatives in Singapore. You will lead a team of data scientists, collaborate with business stakeholders, and deliver data-driven solutions that shape strategic decision-making and product innovation. Key Responsibilities: Lead and mentor a team of data scientists and analysts, ensuring best practices in modeling and experimentation Design, develop, and deploy machine learning models and advanced analytical solutions Collaborate with product, engineering, and business teams to define use cases and translate them into data science projects Analyze large datasets to uncover insights, trends, and business opportunities Ensure scalability, reliability, and performance of deployed data science solutions Evaluate emerging technologies, tools, and techniques to enhance data capabilities Communicate complex findings in a clear and actionable way to non-technical stakeholders Champion a data-driven culture and contribute to overall data strategy Requirements: Master’s or PhD in Data Science, Computer Science, Statistics, or related field 6+ years of experience in data science, with at least 2 years in a leadership role Strong expertise in machine learning, deep learning, NLP, or predictive analytics Proficiency in Python, R, SQL, and data science libraries/frameworks (TensorFlow, PyTorch, Scikit-learn, etc.) Experience with big data technologies (Spark, Hadoop) and cloud platforms (AWS, GCP, Azure) Strong problem-solving and critical thinking abilities Excellent communication skills with the ability to influence stakeholders Proven track record of delivering data-driven solutions with measurable business impact What We Offer: Competitive salary with performance-based bonuses Flexible hybrid/remote work arrangements Opportunities to lead impactful, cutting-edge AI/ML projects Professional development, certifications, and learning support Collaborative and innovative work culture How to Apply: Submit your resume and a brief cover letter through [Job Portal/LinkedIn Apply].