Data Scientist analyzing data-driven solutions for strategic goals. Collaborating with product and marketing teams to optimize performance and insights in Taipei.
Responsibilities
Collaborate with product, operations, and marketing teams to define goals for data analysis and model applications.
Perform data cleaning, feature engineering, and exploratory data analysis (EDA).
Build predictive, clustering, and recommendation models, and evaluate and optimize their performance.
Assist in designing A/B tests, analyze experiment results, and validate strategic effectiveness.
Integrate multiple data sources (such as behavioral data, transactional data, and third-party tracking tools).
Communicate insights through data visualization and storytelling to support decision-making.
Work closely with Data Engineers and Analysts to optimize data pipelines and model deployment processes.
Research, exploration, and development of applications leveraging Large Language Models (LLMs)
Requirements
3+ years of experience in data science, data analytics, business intelligence, or relevant fields;
Experienced in formulating real world problems through data-oriented mindset, such as defining metrics, quantifying objectives, and testing hypothesis;
Experienced in finding out actionable data insights from large amount of data using various estimation/prediction/optimization methodologies;
Capable of telling stories based on convincing data results for technical and non-technical audiences;
Versed in programming skills, such as Scala, Python or R;
Proficient in delivering solution through visualization tools, such as Tableau, Power BI, or Superset;
Detail-oriented team player with great communication skills.
Data Scientist helping Qliro develop payment solutions through machine - learning in credit and fraud domains. Collaborating in a modern data platform environment to enhance decision - making capabilities.
Data Scientist at Capital One using ML to revolutionize customer engagements through personalization. Collaborate with elite teams to build cutting - edge recommendation systems.
AI Agent Developer responsible for designing and building AI agents to operate within digital environments. Collaborating with teams to deliver innovative AI solutions and ensure functionality within complex systems.
AI Agent Developer designing and implementing autonomous intelligent agents using AI frameworks. Collaborating across teams to optimize agent capabilities and performance.
Data Science/Analyst Intern working with risk analytics and data science teams at Credibly. Engaging in projects that leverage advanced analytics and statistical techniques for business growth.
Senior Data Scientist leading data science initiatives impacting global operations across various business units. Collaborating with cross - functional teams to architect scalable machine learning solutions in cloud environments.
Lead Data Scientist building GenAI - driven products and ML solutions for S&P Global. Mentoring team members and delivering high - impact projects in a global environment.
Data Scientist in Digital Transformation team at Lavazza implementing machine learning models and managing model lifecycle within Agile squads. Focusing on solving real business problems.
Data Scientist enhancing Sicredi's data pipeline and generating actionable insights across credit sectors. Collaborating closely with data engineers and analysts to improve decision - making.
Data Scientist role at Airbus developing AI/Data Science solutions for aircraft systems. Focused on value creation and collaboration with engineering teams for embedded computer vision applications.