Job Description
Team: Analyst
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Scientist – Generative AI in United States.
This role sits within a forward-looking Growth Analytics & AI environment focused on transforming complex, unstructured data into actionable intelligence through Generative AI. You will design and deploy LLM-powered applications that extract insights from conversational and long-form data to support strategic decision-making and enhance customer experience. The position blends applied machine learning, modern software engineering, and product thinking in a highly collaborative setting. You will work closely with product, engineering, and platform teams to translate business challenges into scalable AI-driven solutions. A strong focus is placed on production-ready systems, responsible AI, and measurable business impact. The environment is fast-paced, innovation-driven, and centered on delivering real-world value through advanced AI capabilities.
Accountabilities:
- Design, develop, and deploy LLM-based applications for conversational intelligence and insight generation
- Build multi-step AI workflows including retrieval-augmented generation, orchestration, routing, and tool-using agent patterns
- Define and implement evaluation frameworks for LLM outputs, including quality, safety, reliability, and business value
- Work with large-scale structured and unstructured datasets using platforms such as Spark, Databricks, and Snowflake
- Partner with engineering teams to transition GenAI prototypes into scalable production systems
- Develop clean, maintainable Python code and contribute to engineering best practices including version control, documentation, and code reviews
- Ensure adherence to enterprise standards for security, privacy, compliance, and responsible AI governance
- Bachelor’s degree with 5+ years of experience, or Master’s degree with 3+ years in data science, computer science, engineering, or a related field
- Strong proficiency in Python and modern software development practices for AI systems
- Deep experience working with NLP and text-based applications, including transformer models and embeddings
- Hands-on expertise with LLM architectures, prompt engineering, and frameworks such as LangChain, LangGraph, AutoGen, or CrewAI
- Experience building retrieval-augmented generation systems and agent-based AI workflows
- Familiarity with cloud and data platforms such as Azure, GCP, Databricks, or Snowflake
- Experience deploying and supporting AI/ML systems in production environments
- Strong understanding of data privacy, governance, and compliance requirements
- Excellent communication skills with the ability to collaborate across technical and non-technical teams
- Experience working in EST or CST time zones preferred or required depending on coordination needs
- Competitive annual base salary range: $117,600 – $161,700 depending on experience and location
- Eligibility for performance-based bonus incentive plan
- Comprehensive medical, dental, and vision insurance coverage
- 401(k) retirement savings plan with employer support
- Paid time off including holidays, personal days, parental leave, and caregiver leave
- Short-term and long-term disability coverage and life insurance
- Remote-first flexibility with occasional travel for meetings or training
- Internet reimbursement and home office equipment support for eligible employees
- Strong emphasis on work-life balance and whole-person well-being programs.
Requirements:
Benefits:
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Date Posted
05/05/2026
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