Technical Project Manager (Data Science)

We are seeking a highly skilled Data Science Project Manager to lead and coordinate data-driven projects from inception to completion. This role involves collaborating with cross-functional teams, ensuring timely delivery of project milestones, and effectively communicating project status and insights to stakeholders.Key Responsibilities : Project Leadership : - Define project scope, goals, and deliverables in collaboration with stakeholders.- Develop detailed project plans, timelines, and resource allocation strategies.- Ensure projects are completed on time, within scope, and within budget.Stakeholder Management : - Act as the primary point of contact for project stakeholders.- Regularly communicate project progress, risks, and issues to stakeholders.- Gather and incorporate feedback from stakeholders to refine project objectives.Data Strategy : - Collaborate with data teams to identify data needs and ensure quality data collection and management.- Analyze and interpret data to drive business decisions and strategies.Risk Management : - Identify potential project risks and develop mitigation strategies.- Monitor project progress and implement corrective actions as necessary.Reporting and Documentation : - Create comprehensive project documentation, including reports, dashboards, and presentations.- Track project performance and report on key metrics to senior management.Qualifications : - Bachelor’s degree in Data Science, Computer Science, Business, or a related field (Master’s preferred).- Proven experience in project management, particularly in data science or analytics.- Strong understanding of data science methodologies, tools, and technologies (e.g., Python, R, SQL).- Experience with project management tools (e.g., Jira, Trello, Asana).- Excellent communication and interpersonal skills.- Strong analytical and problem-solving abilities.- Ability to manage multiple projects simultaneously and meet deadlines.Preferred Skills : - Experience in Agile methodologies.- Familiarity with machine learning and statistical modeling.- Knowledge of cloud computing platforms (e.g., AWS, Azure, Google Cloud).