Senior Data Scientist - Talent Pool
- You'll be a leader within a cross-functional delivery team, working closely with engineers, designers, and commercial roles to deliver value to customers. Working closely with the leads of these other functions you'll ultimately be responsible for the successful delivery.
- You will help our excellent commercial team build strong relationships with clients, shaping the direction of both current and future projects.
- You will play an important role in the development of other data scientists at Faculty through activity management and potentially line management of others.
- Senior experience in either a professional data science position or a quantitative academic field
- Strong python programming skills as evidenced by earlier work in data science or software engineering.
- An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe)
- A high level of mathematical competence and proficiency in statistics
- A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill
- A leadership mindset focussed on growing the technical capabilities of the team; a caring attitude towards the personal and professional development of other data scientists; enthusiasm for nurturing a collaborative and dynamic culture
- An appreciation for the scientific method as applied to the commercial world; a talent for converting business problems into a mathematical framework; resourcefulness in overcoming difficulties through creativity and commitment; a rigorous mindset in evaluating the performance and impact of models upon deployment
- Some commercial experience, particularly if this involved client-facing work or project management; eagerness to work alongside our clients; business awareness and an ability to gauge the commercial value of projects; outstanding written and verbal communication skills; persuasiveness when presenting to a large or important audience
- Experience leading a team of data scientists (to deliver innovative work according to a strict timeline) as well as experience in composing a project plan, in assessing its technical feasibility, and in estimating the time to delivery
- A product mindset, able to understand the needs of users and to learn how Frontier delivers them value
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