Technical Project Manager (Data Science)

As a highly skilled Data Science Project Manager, you will lead and coordinate data-driven projects from inception to completion. You will collaborate with cross-functional teams, ensure timely delivery of project milestones, and effectively communicate project status and insights to stakeholders. Key Responsibilities: - 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. - 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. - 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. - Identify potential project risks and develop mitigation strategies. - Monitor project progress and implement corrective actions as necessary. - Create comprehensive project documentation, including reports, dashboards, and presentations. - Track project performance and report on key metrics to senior management. Qualifications: - Bachelors degree in Data Science, Computer Science, Business, or a related field (Masters 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).,