Join our team

NumInformatics is seeking data scientists at different levels (entry-level, mid-level, and senior) to join our dynamic team. As a data scientist at NumInformatics, you will work on exciting projects involving data analysis, modeling, and visualization to support our clients' needs. Whether you're just starting your career or have years of experience, we offer opportunities for professional growth and development. 

• Conduct exploratory data analysis to uncover trends and patterns. 
• Develop and maintain statistical models and machine learning algorithms. 
• Create data visualizations and dashboards to present findings. 
• Collaborate with cross-functional teams to deliver data projects. 
• Provide data-driven insights and recommendations to stakeholders. 

• Degree in Data Science, Statistics, Computer Science, or related field (for entry-level: Bachelor's degree, 3 years of related experiences; for mid-level: Bachelor's degree, 5 years of related experiences; for senior: Bachelor's degree, 8 years of related experiences). 
• Proficiency in programming languages such as Python or R. 
• Familiarity with data analysis and visualization tools (e.g., Pandas, Matplotlib). 
• Strong problem-solving and analytical skills. 
• Excellent communication and collaboration skills. 

NumInformatics is seeking data analysts at all levels to join our team. As a data analyst, you will play a key role in uncovering insights from data to support our clients' needs. Whether you are an entry-level, mid-level, or senior data analyst, you will contribute to our data-driven approach and collaborate with experienced data scientists and engineers. 

• Clean and preprocess data for analysis. 
• Develop and maintain data models and reports. 
• Create data visualizations and dashboards to communicate insights. 
• Conduct exploratory data analysis to identify trends and patterns. 
• Collaborate with cross-functional teams on data projects. 
• Present findings and insights to stakeholders. 
• Stay up-to-date with industry trends and emerging technologies. 

• Degree in Data Science, Statistics, Computer Science, or related field (for entry-level: Bachelor's degree, 1 year of related experience; for mid-level: Bachelor's degree, 3 years of related experience; for senior: Bachelor's degree, 5 years of related experiences). 
• Proficiency in programming languages such as Python or R. 
• Familiarity with data visualization tools (e.g., Tableau, Power BI). 
• Strong problem-solving and analytical skills. 
• Excellent communication and collaboration skills.