Applied Materials Data Scientist Global Legal Analytics 

Singapore, Singapore 

311172745

Principal Duties &Responsibilities

In addition, you will identify new areas of opportunity for the legal department by automating business workflow, developing forecasting models and making recommendation on emerging technologies such as new digital analytics tools and GenAI.

Qualification & Work Experience

• Bachelor degree or higher in a relevant field such as computer science, data science, business intelligence, statistics, mathematics, physics, engineering or a related field

• At least 2 years’ experience with converting real-life business challenges into data analytics problems, leveraging state-of-art techniques to solve the problems, and explaining complex data analytics methodologies to non-technical stakeholders

• Preferred experience in structural querying languages (e.g. MySQL, PostgreSQL), data preprocessing languages (e.g. R, Python) and big data processing tools (e.g. Hadoop, Spark)

• Preferred experience inextracting/integratingstructured & unstructured data (e. e.g. text, documents)

• Preferred experience in development & deployment of data visualization dashboards to track business metrics (e.g. Tableau, Power BI)

• Experience in development & implementation of machine learning models (e.g. random forecast, gradient boosting, transformers), experience with NLP & LLM is advantageous

• Experience in design and/or introduction of process automation solutions (e.g. Uipath, MS Power Platforms) to streamline operational workflow is advantageous

• Familiarity with designing & conducting statistical analysis (e.g. A/B test, Hypothesis test)

• Familiarity with data analytics techniques such as cloud computing, CI/CD, data security

Skills & Competencies

• Strong fundamentals of applied data science in a business setting

• Strong ability to distill complex scientific and technical concepts into actionable analysis

• Capability to communicate data science solutions to business and/or non-technical stakeholders

• Strong analytical capability, ability to think critically and possessing learning agility to quickly attain understanding of new technology areas

• Proactive, thorough, working with high accuracy and attention to detail with good time management

• Adaptability to changing priorities and project focus while remaining flexible in shifting conditions

• Ability to work effectively with people from a variety of culturally and scientifically diverse backgrounds and collaborate effectively with other team members

Work Location

• Science Park II (Alpha building)

Bachelor's Degree

4 - 7 Years

Full time

Assignee / Regular