AI Scrum Master

Summary

Join NewRocket, a global ServiceNow partner, as an AI Scrum Master with 8+ years of experience. Leverage your expertise in data analysis, machine learning, and statistical modeling to extract actionable insights. Collaborate with cross-functional teams to solve business problems and develop predictive models. This role involves facilitating Scrum ceremonies, coaching team members, optimizing AI/ML workflows, managing backlogs, removing impediments, and reporting on Agile metrics. You will need proficiency in programming languages like Python or R and experience with machine learning frameworks. NewRocket offers a diverse and inclusive workplace.

Requirements

• 8-10 years of professional experience in AI/ML Scrum master or in a similar role
• Proficiency in programming languages such as Python or R for data analysis and modeling
• Strong experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
• Expertise in statistical analysis, hypothesis testing, and experimental design
• Strong facilitation, coaching, and presentation skills
• Ability to work in a collaborative environment and adapt to new AI technologies
• Excellent problem-solving skills and the ability to work independently or in a team
• Strong communication skills to present complex findings in a clear and concise manner
• Bachelor’s or master’s degree in data science, Computer Science, Statistics, Mathematics, or a related field

Responsibilities

• Facilitate Scrum Ceremonies: Lead and tailor Scrum events (daily stand-ups, sprint planning, sprint reviews, retrospectives) to fit the specific needs of AI/ML teams, including managing research spikes, data dependencies, and model iteration cycles
• Coaching & Mentorship: Guide team members on Agile values and Scrum practices, mentor them on basics and usage of ServiceNow and Now Assist
• AI/ML Process Optimization: Collaborate with data scientists, AI engineers, and product owners to streamline AI/ML workflows, for model training, validation, and deployment
• Backlog and Roadmap Management: Work closely with Product Owners to refine and prioritize the AI product backlog, ensuring alignment with business goals and technical feasibility
• Impediment Removal: Identify and remove obstacles unique to AI/ML development, such as data availability, computational constraints, and integration issues, to ensure smooth team progress. Knowledge of ServiceNow modules is required and should have delivery handling experience to handle issues with various parties
• Agile Metrics & Reporting: Track and analyze Agile metrics (velocity, burndown charts, cumulative flow) to assess team performance and provide actionable insights to leadership
• Risk & Issue Management: Proactively identify, communicate, and mitigate risks that could impact AI project delivery
• Stay current with industry trends, emerging tools, and advancements in data science and AI
• Continuous Improvement: Promote a culture of learning and experimentation, encouraging feedback loops and process refinement specific to AI/ML development

Preferred Qualifications

ServiceNow AI/ML are a plus