Jobs → Data & Analytics → Data Science Supervisor

About the Role We are seeking an experienced Data Science Supervisor to lead technical teams and drive machine learning, data engineering, ETL, and cloud initiatives while ensuring data quality, project delivery, and data-driven decision-making. Key Responsibilities • Supervise and mentor data science teams, managing complex projects, technical deliverables, and Agile/Scrum activities. • Demonstrate strong hands-on expertise in Python, R, SQL, Pandas, NumPy, Scikit-learn, and machine learning techniques. • Lead data engineering, ETL pipelines, backend development, data warehousing, and big data technologies such as Spark and Hadoop. • Utilize experience with AWS, Azure, Databricks, and ML model deployment using Docker and Flask. • Apply strong knowledge of statistical analysis, data visualization, API design, data security, quality assurance, and stakeholder management. Requirements • Minimum 6 years of relevant professional experience, including 3+ years leading or supervising data science teams. • Proven experience as a Data Science SME, managing complex projects and technical initiatives. • Experience delivering data science solutions to support program, policy, and operational decision-making. • Master's degree in Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Public Health, or a related field (may substitute for up to 2 years of experience). • 10 years Background Check, Employment Check, Education Check, Drug Test.