Taipei, TWN
3 days ago
Senior Data Scientist-Artificial Intelligence
**Introduction** We are seeking a skilled and visionary Data Scientist to join our team, driving data-driven insights and transformative AI/ML solutions. In this role, you will analyze and interpret complex data to uncover valuable patterns, solve intricate business challenges, and create predictive models that deliver measurable impact. Leveraging cutting-edge AI tools, machine learning, and deep learning techniques, you will design, develop, and deploy scalable applications on cloud infrastructure. Beyond technical expertise, you will collaborate closely with clients and cross-functional teams to align AI solutions with strategic business objectives, ensuring that data-driven insights translate into actionable recommendations. If you are passionate about harnessing the power of data to shape innovative solutions and possess strong consulting capabilities, we invite you to join our dynamic and collaborative environment. **Your role and responsibilities** Data Scientists analyze and interpret data to uncover insights, identify patterns, and solve complex business problems. You will work with structured, unstructured, and streaming data, leveraging AI tools, machine learning, and deep learning techniques to develop predictive models and data-driven solutions. Utilizing cloud infrastructure and advanced analytics, you will design, develop, and deploy scalable AI/ML applications. Additionally, you will collaborate closely with clients, internal teams, and cross-functional stakeholders to ensure that AI solutions align with business objectives and deliver measurable impact. This role requires both strong technical expertise and consulting capabilities, ensuring AI-driven insights translate into strategic recommendations. Specifically, you will: l Lead the design, development, and deployment of end-to-end AI/ML solutions, ensuring strategic alignment with client business needs l Define best practices for AI/ML architectures, model governance, and MLOps pipelines l Provide thought leadership, guiding internal teams and clients on AI-driven strategy, implementation, and measurable business impact l Develop predictive models in Python using AI libraries such as TensorFlow, PyTorch, or other cutting-edge open-source frameworks l Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants, and database administrators from diverse backgrounds l Lead teams in data cleansing, integration, and reusable AI solution development based on client needs l Communicate technical results and insights effectively to both technical and non-technical stakeholders **Required technical and professional expertise** l Thrive on teamwork with excellent verbal and written communication skills, effectively translating complex technical concepts into meaningful business insights l Strong mathematical and computer science foundation, including algorithms, statistics, probability, and linear algebra, with a focus on AI/ML applications l Hands-on experience in machine learning, deep learning, NLP, or LLM l Proficiency in programming languages such as Python, R, or Scala, and experience with AI frameworks like TensorFlow or PyTorch. l Strong problem-solving skills and the ability to work in a fast-paced, client-driven environment **Preferred technical and professional experience** l Experience with MLOps, CI/CD pipelines, model monitoring, and cloud-based AI/ML solutions l Knowledge of AutoML, optimization techniques, and large-scale distributed machine learning l Background in business consulting, with a strong ability to influence decision-making through AI-driven insights l Proven ability to mentor junior data scientists and lead cross-functional teams l Expertise in data engineering, including SQL, Spark, Hadoop, and cloud-based data pipelines l Proficiency in spoken and written English
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