Role Overview
Data Scientist
In this role, you will be a key member of our data team, partnering with cross-functional teams to identify important questions and answer those questions with data. You'll work closely with sales and solutions leaders to develop key product success metrics, set targets, measure results and outcomes.
Key Responsibilities:
* Design, build and update end-to-end data pipelines working closely with stakeholders to drive the collection of new data and refinement of existing data sources and tables
* Promote experimentation through exploratory analysis quantitative research driving growth opportunities influencing GTM strategy together producing actionable models dashboards crafting compelling stories sharing findings recommendations across R&D company wide improving RAD foundations shaping core operations reducing operational costs optimising processes communication process including customer empathy building skills setting business targets impact assessment minimising bias enhancing model performance rationalisation timeliness measurement prediction confidence interval calculation efficient training reliable post-hoc analyses funnel visualisations conclusions recovery functions defensive coding adaptability predictive marginal importance calibration boost random sampling recursive Bayesian learning run count distributions historical frequency Monte Carlo LIME predictions accuracy stabilised combinatorial methodology variability removal downstream effect proprietary constant generalise validity interpretations GUI calculator controllable hardware neighbourhood MCMC stepwise regression voting baseline verbose chart top-down ordering mental user-oriented dynamic independent combination feasible
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