CSI
CSI is a leading technology partner delivering innovative solutions and expert service.
Manager, Data – AI
Artificial IntelligenceArtificial IntelligenceFull TimeRemoteTeam 1,001-5,000Since 1965H1B SponsorCompany SiteLinkedIn
Location
United States
Posted
46 days ago
Salary
Not specified
Bachelor Degree5 yrs expEnglishAWSCloudPythonPy TorchScikit LearnSQLTensorflow
Job Description
• Lead & Mentor a High-Performing Team
• Manage, mentor, and grow a team of Data Scientists and Data Analysts
• Guide the team in adopting best practices for machine learning model development, deployment, and ongoing governance
• Architect & Develop Advanced Data Science Solutions
• Lead the design, development, and deployment of robust data models utilizing advanced statistical and machine learning techniques
• Collaborate closely with Architects and Data Warehouse Engineers to design scalable and maintainable data science and AI-driven solutions
• Drive Analytics & Product Insights
• Oversee the creation of high-quality analytics assets, including metrics, visualizations, and dashboards
• Communicate complex technical concepts and findings clearly and concisely to diverse audiences
• Foster Cross-Functional Collaboration
• Champion responsible AI practices
Job Requirements
- 5-8 years of progressive experience in data science, Machine Learning, or Advanced Analytics roles
- proven track record of developing and deploying impactful solutions
- At least 2-3 years in a leadership, management, or senior technical lead capacity
- guiding and mentoring data science or analytics professionals
- Experience in the FinTech or financial services industry is strongly preferred
- Bachelor's or Master's degree in a quantitative field such as data science, Computer Science, Statistics, Mathematics, or Operations Research
- Expert proficiency in Python (including libraries like scikit-learn, TensorFlow, PyTorch) and SQL
- Demonstrated experience with cloud platforms, specifically AWS
- Hands-on experience with data warehousing technologies, preferably, but not limited to Snowflake
- Proficiency with data visualization and Business Intelligence tools, preferably, but not limited to Domo
- Solid understanding of machine learning algorithms, statistical modeling, experimental design (A/B testing), and model validation techniques
- Practical experience developing and integrating AI-driven solutions,
- familiarity with Natural Language Processing (NLP) or Large Language Models (LLMs)
- Knowledge of MLOps principles and practices for model lifecycle management, monitoring, and deployment.
Benefits
- comprehensive range of benefits
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