Data Scientist

Please apply using the following link:

Responsibilities

• Help design, implement, and validate the ML Pipelines while collaborating with other data scientists.
• Coordinate and collaborate with other Software Development groups so that ML Pipeline fits well with the rest of our software applications.
• Balance adding new features with the need for stability and performance.
• Grow development capabilities to align with the pace of business needs.

Qualifications

• Master's degree or higher in Computer Science, Computer Engineering, Electrical Engineering or similar discipline with industrial experience in software development.
• 3+ years of experience with Python coding.
• 3+ years of recent experience working as a Data Scientist in industry.
• Experience with developing production-grade code, preferably in Python.
• Experience with data science and machine learning, including Python libraries such as NumPy, SciPy, Pandas, and Scikit-learn.
• Strong professional written and verbal communication skills.
• Ability to pass a Data Science skills-based test.
• Experience with relational or NoSQL databases such as Oracle, Cassandra, Redis, or similar.
• Ability to create model-ready data from raw data, at scale.
• Ability to translate business problems into data science pipelines.
• Comfort with ML theory to recommend solutions beyond the standard libraries.
• Must be able to work independently and as part of a diverse interdisciplinary and international team.
• Communicates clearly to technical and non-technical audiences.
• Empathy with customer business challenges.
• Ability to map business problems to software and data science techniques.
• Understanding of fundamental data science and machine learning pipeline including data cleansing, feature engineering, imputation, model tuning, and model prediction.
• Basic understanding of the pros and cons of different machine learning algorithms, and basic understanding for different types of open source ML frameworks.
• Understanding of hypervisors/containers, especially Docker.