Note: The job is a remote job and is open to candidates in USA. Stone Alliance Group is seeking a Data Science and Engineering Manager to join their Center for Data Analytics, Innovation, and Rigor (DAIR) team in New York City. The role involves leading a team of data scientists and software engineers to coordinate and execute complex AI research initiatives in mental health contexts, ensuring project milestones are met through effective planning and collaboration with stakeholders.
Responsibilities
- Work with team members across management, multiple engineering teams, clinical researchers, and stakeholders to develop project plans, timelines, milestones, resource requirements and deliverables, all in alignment with the overall mission of the project and organization
- Guide the team through the entire product development lifecycle, from road mapping and requirements gathering, through prioritization and scoping (OKRs), delivery of designs, and project management of engineering execution
- Coordinate cross-functional teams including data scientists, AI engineers, software developers, clinical researchers, and external collaborators to ensure efficient workflow and communication
- Achieve consensus around product vision and priorities across product research, design, engineering, and data science along with our leadership team
- Monitor project progress, identify risks and bottlenecks, and implement mitigation strategies to keep projects on track and within budget
- Help design and implement clinical validation and quality assurance testing for data generation, annotation workflows, and software development to ensure scientific rigor and reproducibility
- Ensure data quality, security, and compliance with privacy regulations for handling sensitive data
Skills
- Master's in Neuroscience, Psychology, Engineering, Computer Science or equivalent combination of education and experience is required
- 8+ years experience in technical project management for software development, data science, or AI/ML research projects
- 8+ years of experience working regularly with software development lifecycle, data engineering, machine learning, or cloud computing concepts
- 5+ years of practical experience with project management tools and methodologies (e.g., Notion, Jira, Kanban)
- 5+ years of experience in data analysis and data science fundamentals (e.g., algorithms, data structures, data visualization, machine learning)
- 5+ years of experience in at least one scientific programming language (e.g., Python/R, Matlab) and related toolboxes or frameworks (e.g., Tidyverse, Scipy, Sklearn, Polars, Pytorch) is required
- Demonstrated experience managing complex, multi-phase projects in software development environments with multiple stakeholders and competing priorities
Benefits
- Medical insurance
- 401(k)
- Paid parental leave
- Dependent care
- Flexible work schedules
- Discounted tickets and entertainment perks programs
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