Data Science Team Lead
Role Overview:
The Data Science Team Lead plays a leadership position in the data science department and is responsible for overseeing activities of the junior data science team and ensuring proper execution of duties and alignment with the business’s overall vision. You are responsible for the creation of new data sciences capabilities for the business by envisioning and executing strategies that will influence improvement of the business’s performance and ensure alignment with our overall goals.
Key Responsibilities:
- Responsible for guiding the analytics team, managing projects, and ensuring that data-driven insights align with business objectives and to promote collaboration and continuous learning among team members.
- Monitor performance metrics to assess the effectiveness of analytics projects and adjust strategies accordingly
- Establish data governance policies to ensure data integrity and security across projects
- Technical lead, as a subject matter expert, is responsible for the execution of milestones that are critical to the project
- Provide technology leadership in analytics visualization to design solutions and deliver effective user-centric and intuitive analytics tools and dashboards
- Experience in working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding
- Able to communicate the value of data clearly by articulating both the high-level concept and detailed user stories for proposition improvements/evolution and convince teams to adopt data-driven improvements and close-the-loop
- Performs risk assessment, develops a contingency plan, and realigns project efforts, developing possible alternatives and recommendations when unanticipated situations arise
Requirements:
- Undergraduate degree in a field linked to data engineering, business analytics, applied mathematics, Statistics, computer science, IT, computer applications, engineering or related field is required.
- 8+ years’ experience managing and overseeing complex technology infrastructure programs
- 5 years of experience in supervisory role and relevant experience working in delivering data analytical solutions
- Experience with the full software development lifecycle, including design, testing, deployment, and documentation activities
- Result oriented and the ability to plan and prioritize
- Proven track record of developing and implementing successful strategies in a fast-paced environment.
- Exceptional communication and interpersonal skills, with the ability to build rapport with candidates and stakeholders alike