Manager, Data Scientist, Generative AI Systems (Genesis)

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Job Overview

The Manager, Data Scientist, Generative AI Systems (Genesis) at RemoteWorker CA will be responsible for leading a team focused on the development and implementation of innovative generative AI solutions. This role will encompass managing machine learning projects, driving data strategy, and collaborating cross-functionally to enhance data science capabilities. The ideal candidate will possess a robust knowledge of generative AI technologies, a strong analytical background, and the capability to translate complex datasets into actionable insights, improving both operational and strategic outcomes.

Job Responsibilities

• Lead and manage a team of data scientists in the design and execution of generative AI projects.
• Develop and implement data strategies that align with business objectives and enhance decision-making processes.
• Oversee the entire lifecycle of machine learning models, from conception and data collection to deployment and performance monitoring.
• Collaborate with cross-functional teams, including product development and IT, to integrate AI solutions into existing workflows.
• Monitor industry trends and advancements in AI/ML technologies to continuously refine and enhance the organization's capabilities.
• Present findings and insights to stakeholders, ensuring clear communication of complex concepts.
• Mentor junior data scientists, providing guidance on methodologies, best practices, and career development.

Qualifications

• Master's degree or Ph.D. in Data Science, Computer Science, Statistics, or a related field.
• Minimum of 5 years of experience in data science or machine learning, with at least 2 years in a managerial role.
• Proficient in programming languages such as Python or R, and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch).
• Deep understanding of generative AI concepts and their applications in business contexts.
• Strong analytical and problem-solving skills, with a focus on data-driven decision-making.
• Excellent communication and interpersonal skills, capable of translating complex data narratives to non-technical stakeholders.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud is preferred.

Technologies & Tools

The Manager, Data Scientist, Generative AI Systems (Genesis) will utilize a variety of technologies and tools including, but not limited to, programming languages like Python and R, machine learning libraries such as TensorFlow and Keras, data visualization tools like Tableau, and cloud services from providers like AWS and Azure. Familiarity with database management systems (SQL and NoSQL) and big data technologies (e.g., Hadoop, Spark) will also be beneficial for handling large datasets effectively.

Ideal Candidates

The ideal candidate for this position will possess a blend of technical expertise and leadership qualities. They should demonstrate a passion for generative AI and a desire to innovate within the field. Strong interpersonal skills, along with the ability to think strategically while executing tactically, are crucial. Candidates should be adaptive, with a continual learning mindset and the capability to guide a diverse team toward achieving high-impact results. A history of fostering collaborative teamwork and valuing diversity will further enhance their fit within the organizational culture.