Data Scientist/Project Manager

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:

- Proven experience in project management, particularly in data science or analytics.

- Strong understanding of data science methodologies, tools, and technologies (Python, R, SQL).

- Experience with project management tools (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 (AWS, Azure, Google Cloud)