Intermediate Data Scientist

About the position

Duties & Responsibilities

• Analyze raw data: assess quality, cleansing, structuring for downstream processing.
• Apply the scientific method to data and problems to establish, test and refine hypotheses.
• Visualize and present scientific results effectively for a business audience.
• Design and train accurate and scalable machine learning algorithms.
• Collaborate with the engineering team to bring analytical prototypes to production.
• Generate actionable insights for business improvements (and develop measures to track business improvement).
• Ongoing client interaction to understand their challenges and create solutions.

Desired Experience & Qualification

• Bachelor's degree or equivalent experience in quantitative field (Operations Research, Statistics, Applied Mathematics, Computer Science, Engineering, etc.)
• At least 1 year experience working with programming (R and/or Python and/or Julia)
• Deep understanding of optimisation, predictive modeling, machine-learning, clustering and classification techniques, and algorithms.
• Fluency in a programming language (e.g. Python,Julia, R,...)
• Familiarity with relational databases, preferably PostgreSQL
• Experience using source control and continuous integration with Git (e.g. Gitlab/Github)
• Preferably some exposure to Linux. Docker / Kubernetes knowledge is an advantage but not required.
• A firm understanding of and experience with the scientific method
• Experience and excellence in data driven storytelling

Desired Skills:

• Data Scientist
• Python
• Julia
• R
• Linux
• Gitlab
• Github

About The Employer:

Join a stable software engineering company and utilise data analysis and conversion skills.