Data Science Project Lead
4 weeks ago
Job Summary:
The Technical Project Manager, Data Science, is responsible for overseeing and coordinating data science projects from inception to completion. This role involves managing project timelines, collaborating with cross-functional teams, and ensuring the successful delivery of data-driven solutions that align with business objectives.
Key Responsibilities:
- Lead and manage data science projects, ensuring they are completed on time, within scope, and budget.
- Collaborate with data scientists, engineers, and business stakeholders to define project requirements, deliverables, and success criteria.
- Develop and maintain detailed project plans, outlining tasks, milestones, timelines, and resource allocation.
- Facilitate effective communication between project team members and stakeholders, ensuring clarity and alignment on project goals and progress.
- Monitor project progress, identify potential risks, and implement mitigation strategies to ensure project success.
- Ensure adherence to data science best practices and methodologies, promoting a high standard of work within the team.
- Provide regular updates to senior management, reporting on project status, risks, and outcomes.
Requirements:
- Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. A Master's degree or MBA is a plus.
- Experience in project management, with a focus on data science, analytics, or software development projects.
- Proven experience managing complex projects involving Machine Learning, Deep Learning, and AI.
- Strong understanding of data science and machine learning concepts, with the ability to communicate effectively with technical and non-technical stakeholders.
About v4c:
v4c.ai is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, gender, sexual orientation, national origin, age, disability, or veteran status.
We believe in the power of diversity and strive to foster a culture where every team member feels valued and respected. We encourage applications from individuals of all backgrounds and experiences.
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