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Data Science
vor 1 Monat
Lead a team of data engineers in creating personalization model, managing our data infrastructureand and collaborating with other teams to understand their data needs.
Your Focus- Lead the development and implementation of data machine learning models to support business objectives.
- Create and update the personalisation models that power the user experience of Cashrewards.
- Lead and manage a team of data engineers, fostering a collaborative environment that empowers engineers to innovate and excel in their roles.
- Develop and execute comprehensive data strategies, driving efficiency, scalability and sustainable growth while meeting quality standards and regulatory requirements.
- Collaborate with cross-functional teams to understand their data needs and requirements and develop solutions to meet those needs.
- Oversee the design, development, and maintenance of data pipelines, ETL processes, and data infrastructure.
- Develop and implement data governance policies and procedures to ensure data security, privacy, and compliance.
- Mentor and develop team members, providing guidance and support to help them grow in their careers.
- Manage the team's budget, resources, and timelines to ensure initiatives are delivered on time and within budget.
- Keep up to date with the latest trends and technologies in data science & engineering and incorporate them into the team's work.
- Experience in similar Head of Data role.
- Experience in leading and managing a team of data engineers.
- Proven track record of developing and implementing comprehensive data strategies.
- Strong technical expertise in data science & engineering principles and best practices, including data pipeline design, messaging processes, and data infrastructure management.
- Experience with data governance, ensuring data security, privacy, and compliance with relevant regulations and standards.
- Experience in technologies including but not limited to AWS Redshift, CDP technologies and demonstrating expertise in relevant platforms and frameworks.
- Experience with data analytics and machine learning, developing and implementing models to support business objectives.
- Strategic acumen, able to synthesize market trends, technological advancements, and organizational objectives.
- Demonstrated ability to manage multiple large-scale data projects concurrently.
- Familiarity with Marketing Technology (Martech) platforms and their utilization.
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