Data Science 3

Responsibilities:

• Lead and manage end-to-end data science projects, including project planning, scoping, budgeting, resource allocation, and timeline management.
• Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders, to define project requirements, deliverables, and milestones.
• Conduct project kick-off meetings, define project objectives, and establish clear project scopes and deliverables.
• Develop and maintain project plans, track progress, and provide regular updates to stakeholders, ensuring project milestones are met within the defined timeline.
• Identify and manage project risks, issues, and dependencies, implementing mitigation strategies and contingency plans as necessary.
• Coordinate and communicate project activities, ensuring alignment with organizational goals and objectives.
• Monitor project budget, resource utilization, and expenses, making necessary adjustments to optimize project performance and efficiency.
• Foster a collaborative and innovative work environment, promoting knowledge sharing and best practices within the data science team.
• Stay updated with industry trends, emerging technologies, and advancements in data science methodologies, and propose relevant process improvements or tool adoption.
• Provide leadership and mentorship to the data science team, facilitating their professional growth and development.

Requirements:

• Bachelor's degree in computer science, Data Science, Statistics, or a related field. A master's degree is preferred.
• Proven experience (5+ years) in managing data science projects, preferably in a fast-paced and dynamic environment.
• Strong understanding of data science concepts, machine learning algorithms, and statistical modeling techniques.
• Proficient in project management methodologies, tools, and techniques.
• Excellent organizational and time management skills, with the ability to prioritize tasks and meet deadlines.
• Exceptional problem-solving and analytical abilities, with keen attention to detail.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and present complex concepts to non-technical stakeholders.
• Strong leadership skills, with the ability to motivate and inspire team members.
• Experience with data visualization tools, programming languages (e. g., Python, R), and big data technologies is a plus.

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