Job description
What you will be doing?
As a Senior Manager: Data Science you will lead the BroadReach global data science team in further developing the organization’s predictive analytics and insights capabilities. You will be responsible for formulating and testing hypotheses to determine solutions that drive maximum business impact.
Key Responsibilities
- Lead the evolution of BroadReach's data science strategy.
- Lead and manage a data science group including expertise in statistics, image analysis, data-driven predictive analytics, and computer science.
- Recruit, develop, and manage capabilities in machine learning, deep learning, statistical modelling, and other computational approaches to extract insights from large proprietary and public data sources.
- Coordinate the collaboration of the data science group with internal product design, engineering and client-facing teams.
- Represent BroadReach's global data science capabilities with our partners, clients and in the scientific community.
Qualifying Criteria
- PhD or Master’s degree in Computer Science, Mathematics, Statistics, Physics
- 7 years of relevant, post-graduate work experience in analytics in a fast paced, product-oriented environment delivering world-class data science outcomes.
- Experience in machine learning, deep learning, data mining, statistical methodology and demonstrated experience using these techniques to solve research and consumer problems.
- Experience in strategy development and strategic leadership in R&D or business environments.
- Experience with people management with diverse talent.
- Experience in the healthcare and /or pharmaceutical industry sectors is - preferred
Technical Knowledge and Skill Required
- Accomplished in the use of statistical analysis environments such as R, MATLAB, SPSS or SAS
- Proficient in one or more of the following programming environments: SQL, Python, Java, Go or C/C++
- Knowledge of SaaS platform deployment
- Deep understanding of statistical and predictive modelling concepts, machine-learning approaches, clustering and classification techniques, and recommendation and optimization algorithms
- Ability to understand, prepare, and analyze large and complex data sets. Ability to collaborate and work with cross-functional, multi-disciplinary teams
- Ability to hire, train, manage and motivate staff
- Ability to analyze data, draw insights, and prepare reports in a cohesive, intuitive, and simplistic manner
- Ability to predict emerging trends and provide recommendations to optimize business results
- Project and program management skills
- Professional proficiency in written and oral communication skills in English
- Presentation skills (user groups and conferences)
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