Job Title: Head of Data Science
Job Overview
The Head of Data Science is responsible for setting the vision and strategy for the organization’s data science function, leading the development and execution of advanced analytical projects, and providing insights that drive strategic business decisions. This senior executive role involves overseeing the data science team, ensuring the integration of data science initiatives with organizational goals, and fostering a data-driven culture.
Responsibilities
- Define and implement the overall data science strategy to align with the organization’s strategic objectives and business goals.
- Lead, inspire, and manage a team of data scientists, data engineers, and analytics professionals, providing direction, mentorship, and support.
- Oversee the development and deployment of sophisticated analytical models, machine learning algorithms, and data-driven solutions that address complex business challenges.
- Collaborate with senior executives and key stakeholders to understand business needs, identify opportunities, and drive data science projects that provide actionable insights.
- Ensure the effectiveness, accuracy, and scalability of data science solutions, adhering to best practices in model development, data management, and data governance.
- Manage the data science department’s budget, resources, and relationships with external vendors, ensuring efficient and effective operations.
- Develop and deliver high-level reports, dashboards, and visualizations that communicate insights and strategic recommendations to executive leadership and other stakeholders.
- Promote a data-driven culture within the organization, advocating for the integration of data science and analytics into strategic decision-making processes.
- Stay abreast of industry trends, emerging technologies, and best practices in data science to drive innovation and maintain a competitive edge.
Qualifications
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field; Master’s degree or higher preferred.
- 10+ years of experience in data science, with extensive experience in a senior leadership or executive role.
- Demonstrated success in developing and executing data science strategies and initiatives that have delivered significant business impact.
- Advanced proficiency in data science tools and programming languages (e.g., Python, R, SQL, TensorFlow, Scikit-Learn).
- Extensive experience with data visualization and reporting tools (e.g., Tableau, Power BI).
- Strong leadership and management skills, with a track record of building and guiding high-performing data science teams.
- Exceptional analytical and problem-solving abilities, with the ability to translate complex data into strategic insights.
- Excellent communication and presentation skills, with the ability to effectively convey complex information to diverse audiences.
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies is a plus.