Data Scientist (EMEA)

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

Our data science team is expanding! 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/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

Qualifications and Skills

• Bachelors Degree in computer Science or related field
• 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 Requirements

• 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