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 Science Intern joining Seagate's Product Development Group to leverage AI and ML technologies. Gaining hands - on experience in data analysis and model development on real - world projects.
Staff Data Scientist at Pagaleve developing advanced ML models for credit and fraud solutions. Lead technical expertise in a fintech setting, bridging data science and engineering teams.
Lead Data Scientist responsible for scalable AI/ML models and application backends at Cloudflare. Collaborate with teams to deliver features and operate data platforms in a hybrid environment.
Senior Enterprise Solutions Technical Lead at City of Toronto overseeing BI & Data services. Leading a team in data management and analytics aligned with organizational goals.
Data Scientist at Kpler enhancing Gas and Power teams to aggregate data for future forecasts. Collaborating with engineers and product teams for model deployment and performance enhancement.
Data Scientist developing ML models and analyzing various data sources at Taikonauten GmbH. Contributing to user - centered product and project development in R&D team.
Lead AI and Data Scientist shaping impactful AI solutions in Madrid's EMEA Digital Innovation Hub. Collaborating globally to apply advanced machine learning techniques and foster innovation.
Senior Associate at PwC focusing on data analytics to drive insights and guide client strategies. Involves advanced techniques and collaboration on AI and GenAI solutions.