Data Scientist - Modelling Team

Opportunity to join talented Data Scientists, cloud engineers, systems & software engineers with this unique co in predictive analytics for sports.

This organisation researches and builds predictive analytics for sports, using advanced techniques and technologies.
Develop new predictive approaches and models for our target sports (racing), using a variety of tools, including standard statistical learning, probabilistic programming, and neural networks.D

• Develop new predictive approaches and models for our target sports (racing), using a variety of tools, including standard statistical learning, probabilistic programming, and neural networks.
• Work with specialists on feature development, and with clients on model utility (i.e. low bias predictive performance), with a continuous improvement mindset for operational models.
• Research and experiment on new predictive modelling techniques to improve current modelling system.
• Define and build data pipelines to drive modelling.
• Define and build tests and reports on input data integrity (including statistical checks on e.g. covariance), and predictive performance, likely creating custom approaches to do so.
• Work within professional best practice for model development, including test automation and version control.
• Adhere to the very strictest standards for IP protection and security.

Qualifications:

• PhD or equivalent professional experience in either Maths, Statistics, Computer Science (AI/ML), or other relevant quantitative fields.
• Proficient in machine learning tools and approaches.
• Proficient in R, Python, SQL among others scripting and programming languages.
• Familiarity with public cloud computing (AWS, Google, Azure).

Experience:

• Research and/or industry experience in machine learning (Bayesian prob. modelling, neural nets among others), feature selection, statistics.
• Industry experience is not a requirement, we invite applications from qualified candidates still working in research/academia
• Minimum 2 years’ experience in data science projects which requires working with high dimensional/big data.
• Preferable to have a scientific background in working with small n and large datasets.
• Research experience in exploratory data analysis.
• Desire to innovate and bring scientific rigor to modelling.

Apply Now! Nicolle Hann-Dunbavin