Sean C. Murphy
Melbourne
Summary
Proven leader in data science, with experience building successful data teams and setting data culture from scratch. Over a decade of experience as a data professional and leader, leading to an advanced understanding of statistical and analytic techniques, data structures, and cutting-edge analytic methods. A skilled team leader and mentor, comfortable working with senior stakeholders, and an expert at making data work to drive business goals.
Overview
8
8
years of professional experience
Work History
Chief Data Scientist
Voconiq
05.2021 - Current
- Led hiring and staff development within data science, growing from sole practitioner to leading a team of seven. Mentored data scientists, data engineers and researchers.
- Lead analysis for key clients that led to over $2 million in referral revenue
- Developed company tech roadmap, working directly with the CEO to map technical targets to resourcing and funding requirements.
- Supervised transition of data pipelines to cloud-based systems, reducing delivery time by a third and reducing average QA issues by 56%
- Worked with senior industry stakeholders in mining and banking sectors to develop data-driven social performance KPIs tied to sustainability loans, a world-first.
Senior Data Scientist
Voconiq
04.2019 - 05.2021
- Founded the data science team at Voconiq, setting analytics strategy and culture from scratch.
- Designed and built APIs, cloud data pipelines, and custom dashboarding solutions for a diverse array of clients. Reduced average time-to-insights from 30 days to 1-2 days.
- Built an R package which uses a custom database to normalise proprietary survey data across diverse clients.
Postdoctoral Research Fellow
The University Of Melbourne
03.2016 - 03.2019
- Managed research projects under the general direction of Principal Investigators, while coordinating research assistants and PhD students
- Led an international research team in combining a dozen complex datasets collected across 3 countries
- Developed an R package to automate data cleaning and analysis across datasets
- Published a guide showing researchers without relevant expertise how to conduct psychological research using large-scale Twitter data
- Developed and taught introductory courses in R for faculty and graduate students - listed as a recommended resource by the largest professional society in the field.
Education
Doctor of Philosophy - Social Psychology
University of Queensland
Brisbane, QLD2016
Bachelor of Psychological Science -
University of Queensland
Brisbane, QLD2010
Skills
- Statistical analysis (R, Python, SQL)
- Technical leadership and strategy
- Data manipulation visualisation
- Automated reporting dashboarding (Shiny) (dplyr, ggplot2)
- Modern analytic techniques (regressions, machine learning, natural language processing)
- Stakeholder engagement
- Survey design
- Artefact/anomy detection and automated QA
- Data lake design infrastructure
- Cloud data pipelines (Databricks, AWS)
- Jira/Confluence including custom solutions
Timeline
Chief Data Scientist
Voconiq
05.2021 - Current
Senior Data Scientist
Voconiq
04.2019 - 05.2021
Postdoctoral Research Fellow
The University Of Melbourne
03.2016 - 03.2019
Doctor of Philosophy - Social Psychology
University of Queensland
Bachelor of Psychological Science -
University of Queensland
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