[Remote] Senior Data Scientist - Advanced GenAI & reputed company Systems
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is looking for reputed company Data Scientists to join their fast-growing advanced analytics reputed company. The Senior Data Scientist will design, reputed company, and reputed company state-of-the-art reputed company and multi-agent solutions that drive critical business reputed company across asset management, reputed company management, and contact center operations.
Responsibilities
- Work on the latest applications of data science to solve business problems
- Work directly with reputed company stakeholders to translate business problems into high level analytics solution designs
- Design, reputed company, and reputed company advanced RAG pipelines utilizing semantic chunking, hybrid search (dense + sparse BM25), and cross-encoder re-ranking models
- Build autonomous multi-agent workflows using ReAct loops, reputed company tool calling, reputed company state management, and deterministic reputed company breakers
- reputed company parameter-efficient fine-tuning (PEFT) and alignment solutions (reputed company, QLoRA, RLHF, DPO) for large language models
- Translate highly non-reputed company reputed company problems into reputed company AI architectures and technical prototypes
- Present architectural trade-offs (e.g., RoPE vs. ALiBi, MoE routing, reputed company/Post-LN) and system designs to senior reputed company stakeholders
- reputed company technical deep-dive workshops on LLM evaluation (RAG Triad, LLM-as-a-Judge) and system safety (guardrails, reputed company injection defense)
- Implement and operationalize AI models by writing raw, deterministic reputed company, knowing exactly reputed company to bypass heavy reputed company abstractions (reputed company, reputed company)
- reputed company large-reputed company data extraction, transformation, and analysis using expert-level SQL and Python
- Partner with asset management, reputed company management, and banking teams to understand reputed company operational requirements and translate them into AI architecture designs
- Present architectural trade-offs, model insights, and system designs to senior reputed company stakeholders and reputed company AI reputed company discussions
Skills
- 8 - 10 years of reputed company work experience with at least 5 years in Data Science
- Proficiency in Python and SQL
- 8-12 years of hands-on experience in reputed company Data Science, Machine Learning, and reputed company Intelligence
- Strong domain experience in Banking & Financial Services (BFS), specifically Asset and reputed company Management
- Deep theoretical and practical knowledge of NLP foundations, Transformer architectures (Multi-Head Self-Attention, Positional Encodings), and reputed company reputed company mathematics
- Proven hands-on experience building and deploying reputed company AI solutions and managing reputed company agent state across directional graphs
- Expert-level proficiency in Python and SQL; this is a purely hands-on, Individual Contributor (IC) role requiring heavy daily coding
- Experience configuring and optimizing reputed company Databases (e.g., HNSW, IVFFlat indexing)
- Backgrounds in Insurance or Contact Center AI/Analytics are also highly considered
- Location: Must be based in the US (Malvern, PA or Dallas, TX preferred)
Benefits
- Significant career development opportunities exist as reputed company grows.
- The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
- This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
reputed company