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About the job
Overview: 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.
Job Description: 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. Foster a collaborative team environment, encouraging knowledge sharing and continuous improvement.
Qualifications: 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.
Skills: Excellent project management skills, including planning, execution, risk management, and stakeholder communication. Proficiency with project management tools (e.g., Microsoft Project, JIRA, Trello). Strong leadership and team management abilities, with experience in guiding cross-functional teams. Effective communication skills, capable of conveying complex concepts clearly and concisely to various audiences. Solid understanding of data science principles and practices, with the ability to bridge the gap between technical teams and business stakeholders. Strong analytical and problem-solving skills, with the ability to anticipate issues and develop effective solutions. Familiarity with Agile and Scrum methodologies, with experience applying these frameworks to data science projects. Knowledge of cloud platforms and big data technologies (e.g., AWS, Azure, GCP) is a plus.
Overview: 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.
Job Description: 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. Foster a collaborative team environment, encouraging knowledge sharing and continuous improvement.
Qualifications: 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.
Skills: Excellent project management skills, including planning, execution, risk management, and stakeholder communication. Proficiency with project management tools (e.g., Microsoft Project, JIRA, Trello). Strong leadership and team management abilities, with experience in guiding cross-functional teams. Effective communication skills, capable of conveying complex concepts clearly and concisely to various audiences. Solid understanding of data science principles and practices, with the ability to bridge the gap between technical teams and business stakeholders. Strong analytical and problem-solving skills, with the ability to anticipate issues and develop effective solutions. Familiarity with Agile and Scrum methodologies, with experience applying these frameworks to data science projects. Knowledge of cloud platforms and big data technologies (e.g., AWS, Azure, GCP) is a plus.