Data Science Analyst

About Fleet Management Our 30-year journey rides on the passion of over 27,000 seafarers and 1,000 onshore professionals. Today, we are one of the largest independent third-party ship management companies managing over 650 diverse types of vessels. Headquartered in Hong Kong SAR, China, we operate on a global scale having 27 offices in 12 countries. Our client base spans over 100 world-class ship owners, including Fortune 500 companies from China, Greece, India, Japan, Korea, Netherlands, Norway, and Singapore. We are seeking a talented Data Science Analyst to join our team. As a key member of our Analytics department, you will be responsible for analyzing complex data sets to drive business insights and inform strategic decisions. Your expertise in data visualization, statistical modeling, and machine learning will help us optimize our operations, improve decision-making, and enhance customer satisfaction. If you are passionate about using data to tell stories and drive results, we want to hear from you! Responsibilities: • Develop and maintain complex data models and algorithms to support business decisions; • Design and implement data visualization tools to effectively communicate insights to stakeholders; • Collaborate with cross-functional teams to integrate data-driven insights into business strategies; • Stay up-to-date with industry trends and advancements in data science, machine learning, and analytics; • Participate in project planning, execution, and monitoring to ensure timely delivery of high-quality results. Requirements: • Bachelor's or Master's degree in Data Science, Analytics, Computer Science, Statistics, Mathematics, or related field; • 2+ years of experience in data analysis, visualization, or machine learning; • Strong programming skills in languages such as Python, R, or SQL; • Proficiency in data visualization tools like Tableau, Power BI, or D3.js; • Experience with statistical modeling and machine learning algorithms; • Excellent communication and presentation skills; • Ability to work independently and collaboratively as part of a team. Benefits: • Competitive salary and benefits package; • Opportunities for professional growth and development; • Collaborative and dynamic work environment; • Flexible working hours and remote work options; • Access to cutting-edge technologies and tools; • Recognition and rewards for outstanding performance.