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Job Description

Description :



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 :



- 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)


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