Data Science Strategist
1 month ago
SitusAMC is a dynamic organization that empowers its employees to transform businesses and careers. We are a passionate community of real estate professionals and technologists who work together to realize opportunities for everyone.
Job SummaryWe are seeking a highly skilled Data Science professional to join our team as a Vice President, Data Science. The successful candidate will be responsible for developing and implementing an overall organizational data strategy that aligns with business processes.
Key Responsibilities- Develop and implement a comprehensive data strategy that includes data model designs, database development standards, and implementation of cloud/data warehouses and data analytics platforms.
- Identify data sources, both internal and external, and develop a plan for data management that aligns with the organizational data strategy.
- Collaborate with cross-functional teams, stakeholders, and vendors to ensure the smooth functioning of the Analytics data platform.
- Manage end-to-end data architecture, from selecting the platform to designing the technical architecture and developing the application.
- Plan and execute big data solutions using cloud/on-premise technologies.
- Define and manage the flow of data and dissemination of information within the organization.
- Ensure data governance and integrate technical functionality to ensure data accessibility, accuracy, and security.
- Conduct continuous audits of data management system performance and report any breaches or loopholes to stakeholders.
- Four-year college degree or equivalent combination of education and experience.
- Minimum of 8+ years of industry and/or relevant experience, typically with 2+ years in an AVP level role or external equivalent.
- Knowledge of systems development, including system development life cycle, project management approaches, and requirements, design, and testing techniques in cloud and on-premise platforms.
- Proficiency in data modeling and design, data engineering, and database administration.
- Understanding of Analytics platform I production, including deployment of BI dashboards, ML algorithms, and APIs.
- Ability to implement common data management and reporting technologies, as well as the basics of columnar and NoSQL databases, data visualization, unstructured data, and predictive analytics.
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