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About the Role
Develop software programs, algorithms, and automated processes that cleanse, integrate, and evaluate large, complex datasets. Manipulate and engineer data across diverse domains, collaborating with other data scientists, engineers, and AI teams to prepare scalable data pipelines and intelligent system frameworks. Build, validate, and maintain AI models; diagnose and optimize performance; apply them to business-focused analytical and automation use cases. Design and deploy AI agents and intelligent automation systems that augment decision-making, improve operational efficiency, and enhance customer experience. Communicate meaningful, actionable insights and AI-driven recommendations to stakeholders, translating complex technical results into clear business outcomes. Build cross-functional partnerships and consensus to align AI innovation with product, technology, and business strategies. Lead cross-functional collaboration, mentor data teams, and influence analytics and AI roadmaps; assess complex situations to recommend AI-driven solutions with measurable impact.
Responsibilities
- Developing algorithms and automated processes to cleanse, integrate, and evaluate large datasets from disparate sources
- Designing scalable end-to-end data pipelines and intelligent system frameworks using distributed processing and querying
- Building, validating, and maintaining ML/DL/agent-based models, including diagnosing and optimizing performance
- Applying predictive and generative/agentic AI methods to business use cases
- Designing and deploying AI agents and automation systems to improve decisions, operational efficiency, and customer experience
- Communicating AI insights and recommendations by translating technical results into clear, actionable business outcomes
- Utilizing Python, R, Spark, Hive, SQL, and cloud AI/ML platforms to deliver scalable solutions and support cross-functional alignment
Requirements
- Master’s degree or foreign degree equivalent in Computer Science, Computer Engineering, Statistics, Math, Business Analytics, or related field
- Five (5) years of experience in the job offered or a related role
Skills
- Python
- R
- Spark
- Hive
- SQL
- Azure ML
- Databricks
- Vertex AI
- AWS SageMaker
- Machine Learning
- Deep Learning
- Agent-based modeling
- Predictive AI
- Generative AI
- Regression
- Boosted trees
- ANN/CNN
- LLM fine-tuning
- RAG
- Multi-agent systems
Location
- US
Work Type
- Telecommuting
Experience Level
- 5 years of experience
Education Level
- Master's degree
Salary/Compensations
- $194,834 - $287,900