VP of Data Science
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A VP of Data Science is a VP role that ...
References
2017
- https://linkedin.com/jobs/view/vp-data-science-at-moody-s-investors-service-581780478/
- QUOTE: The VP Data Science is a key member of the Analytic and Technology Solutions (ATS) group in MIS. ATS is responsible for developing the quantitative models and analytical tools used in the rating process and across the rating agency, as well as MIS technology innovation activities, including advanced capabilities in machine learning and artificial intelligence. The VP Data Science will be responsible for helping manage application of the latest techniques in Machine Learning and Distributed Computing to drive business value. A successful candidate will not only be technically competent, but will be able to work collaboratively with business stakeholders to increase analytical efficiency, drive new business insights, and develop new products. The role also includes advocating for operational and process changes to move towards a more data driven organizational paradigm.
- The Duties Of The VP Data Science Include
- Manage development and deployment of Machine Learning / Statistical Learning models for predictive analytics
- Provider leadership in staying up to date with the developments in relevant technologies and market trends (including statistical and machine learning methods) to identify enhancements
- Work collaboratively with relevant stakeholders and partners to develop and release cutting-edge tools that address business needs
- Evaluate and apply sound software and architectural development practices in development and deployment of models as software products.
- Manage usage of cloud and distributed computing platforms for model development and deployment
- Communication of results to business stakeholders and decision makers
- Speak internally and/ or at external events as required
2017
- https://linkedin.com/jobs/view/vp-head-of-data-analytics-machine-learning-at-blucora-618364425/
- QUOTE: The VP, Head of Data, Analytics & Machine Learning is a senior leadership role that will have responsibility for building an integrated data vision for the company, building a robust data platform, delivering smart Business Intelligence, creating data driven insights, developing customer centric analytical products, and applying machine learning across Blucora and its two divisions TaxAct and HD Vest. This role will engage with the CEO, Presidents and others on the executive management team to share the vision and progress. This role will manage internal teams and external staff augmentation across data infrastructure, Business Intelligence, and Analytics and foster a customer-centric data driven culture.
- Responsibilities:
- Develop an integrated vision and end-to-end data strategy for Blucora and its two divisions TaxAct and HDVest with a strong focus on directly and indirectly creating value for our customers.
- Partner with the technology teams, data/analytics vendors, and others to evaluate analytics solutions and build/enhance the data infrastructure in a phased manner aligned with the needs of our customers and the business.
- Develop machine learning expertise and apply innovative applications of ML across the enterprise.
- Build customer centric revenue generating data products using internal and external data.
- Form external data partnerships to collect third party data, append it to internal data to create richer customer and team insights.
- Build a team of data scientists and statisticians to do data mining, apply predictive analytics across the enterprise and across the customer lifecycle for TaxAct and HDVest that covers segmentation, acquisition, engagement, and retention.
- Collaborate with product, marketing, innovation, operations and other stakeholders to support test & learn driven customer experience, product development, and execution.
- Enhance business intelligence tools across the company to create richer data driven insights.
- Coach, manage and develop the team to maximize performance, business impact and results.
- Remain current on latest advancements in analytical trends, techniques and tools.
- Other job duties as assigned.