Data Scientist (APAC)

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming

Job Description

Beyond Limits is looking for an experienced Data Scientist to join our team in Taiwan. The successful candidate will work with the data science and engineering teams on challenging projects in a variety of domains. Beyond Limits is a pioneering Artificial Intelligence company and a satellite of NASA's Jet Propulsion Lab and Caltech. Beyond Limits cognitive computing technology combines numeric and symbolic techniques to provide advanced solutions that go far beyond conventional AI. 

Job Duties and Responsibilities

• Ingest, organize, and analyze data from various sources (e.g. CSV, relational database) 
• Scope unstructured problems or messy data for tractable insights
• Identify candidate statistical or machine learning solutions and test their efficacy 
• Communicate technical work and findings both verbally and through written reports and visualizations
• Work in a collaborative environment to brainstorm, design, implement and deliver solutions to challenging problems

Minimum Requirements

• 5+ years of relevant industry work experience 
• Excellent understanding of statistical or machine learning techniques, such as clustering, regression, time series forecasting, tree-based methods, sampling methods
• Demonstrated ability using scientific computing libraries, such as NumPy, Pandas, SciPy, Scikit-learn, Matplotlib, and Plotly 
• Programming proficiency in Python or R 

Preferred Qualifications

• Ph.D. or Master’s
• Strong statistical knowledge and experience with hypothesis testing 
• Fluency with machine learning algorithms, such as CNN, RNN, reinforcement learning, support vector machines, and graph-based models
• Experience with TensorFlow, Keras, or PyTorch 
• Experience with version control systems (e.g. Git flow) 
• Strong oral and verbal communication skills
• Research experience with high impact publications
• Experience working with cross-functional teams and/or customer facing work