Data Scientist

Job Description

Key Responsibilities

• Perform exploratory data analysis (EDA) on complex scanner data to uncover patterns, anomalies, and opportunities for improvement
• Experiment with both established and unconventional DS/ML approaches, proposing out-of-the-box ideas and testing them
• Go deep into challenging problems: iteratively refine hypotheses, test assumptions, and push for a thorough understanding of the data and models
• Write clean, efficient, and well-documented code that adheres to best practices and coding standards
• Participate in code reviews, actively giving and receiving constructive feedback
• Communicate your findings and reasoning to team members and stakeholders in a concise, structured way

Tech stack 💻 Python, TensorFlow, Keras, PyTorch, NumPy, CUDA, etc.

Qualifications

Nobody is perfect, and we don’t expect you to be either. You’re likely to succeed if you meet 5 out of 7 criteria:

1. Strong background in mathematics and statistics (e.g. probability theory, statistical inference, linear algebra, geometry)
2. Ability to quickly grasp new concepts, tools, and domains, and apply them in practice
3. Solid understanding of data analysis and machine learning fundamentals
4. Experience in designing custom ML architectures to solve specific problems
5. Hands-on experience with Python for data work (NumPy, pandas, matplotlib/Plotly, scikit-learn or similar)
6. Curiosity and willingness to explore unconventional and creative approaches
7. Comfortable reading, understanding, and extending other people’s code; basic software engineering practices (version control, testing)

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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