Data Science

2 weeks ago


Stamford CT, United States The Phoenix Group Full time

The Data Science & AI Manager will spearhead initiatives spanning the entire lifecycle of AI and data-driven applications. This position combines leadership, technical expertise, and strategic insight to bring advanced analytics, machine learning, and generative AI solutions to life. The manager will collaborate across departments to deliver impactful AI products, scale automation, and promote data-driven decision-making throughout the company.
AI Product Development: Lead the creation and integration of generative AI solutions into enterprise platforms.
Champion the adoption of modern AI tools and technologies across departments.
Build, optimize, and maintain AI workflows, including orchestration layers, vector databases, and API connections.
Continuously refine performance through model tuning, testing, and iteration.
Develop a deep understanding of the company’s data landscape and its interconnections.
Data Science & Experimentation:
Apply statistical, machine learning, and optimization methods to support complex problem-solving.
Ensure data quality, reproducibility, and scalability across solutions.
Oversee research, prototyping, and agile development sprints for AI-driven products.
Develop and present roadmaps, capability briefings, and recommendations on AI opportunities.
Partner with leaders across business units to identify use cases, measure ROI, and align AI initiatives with enterprise goals.

Master’s degree in Data Science, Statistics, Computer Science, or a related quantitative field.

6–8 years of experience in data science, software engineering, or AI product development.
~ Proficient in Python, R, or JavaScript, with hands-on experience in generative AI models.
~ Skilled in designing and deploying AI solutions on cloud-based and distributed environments (microservices, containers, or serverless systems).
~ Strong background in managing full project lifecycles from concept to production deployment.
~ Experience delivering executive-level presentations and communicating complex insights clearly.


We are committed to creating a diverse and inclusive workplace and prohibit discrimination and harassment of any kind based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.


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