Freelance Data Scientist

About the job

Job Overview We are looking for an experienced Freelance Data Scientist to join a high-performing engineering team working on scalable products for global enterprise clients. This role is ideal for professionals currently working in a 100% REMOTE setup and looking to take up a long-term freelance or part-time engagement alongside their primary role with competitive compensation and meaningful additional income. Company Background We are a product engineering firm partnering with top-tier global organizations across consulting, fintech, retail, and consumer tech. Our 750+ solid engineering team delivers high-impact solutions across Product and Data Engineering, with deep expertise in Agentic AI, GenAI, RPA, and Full-stack development. Key Responsibilities Knowledge Graphs & Graph-Based Systems - Design, build, and evolve enterprise knowledge graph systems, including: - Ontology and schema design - Entity modeling and relationship extraction - Graph alignment, merging, versioning, and schema evolution - Operate knowledge graphs across heterogeneous enterprise data sources at scale Enterprise Search & Retrieval - Develop and operate enterprise search and information retrieval systems using hybrid approaches, combining: - Semantic retrieval (embeddings, vectors) - Graph traversal and reasoning - Symbolic search and metadata-based retrieval - Learning-to-rank for high-precision enterprise use cases Graph-Based Reasoning & Explainability - Implement graph-based reasoning and memory systems to support: - Multi-hop reasoning - Context persistence - Explainable and traceable decision paths - Apply graph algorithms such as ranking, path finding, entity resolution, link prediction, and community detection to improve relevance, coverage, and inference quality LLM, RAG & Agentic AI Systems - Build graph-augmented RAG pipelines integrating knowledge graphs with LLMs - Develop agentic AI systems supporting planning, tool use, retrieval, grounding, and long-horizon task execution - Implement MCP-based workflows and orchestration for multi-step enterprise AI use cases Machine Learning & NLP - Design and scale traditional ML and NLP systems, including: - Recommender systems - Learning-to-rank models - Topic modeling - Entity resolution and classification pipelines - Own ML evaluation and benchmarking, including offline metrics, error analysis, and online experimentation Collaboration & Platform Integration - Work closely with data engineering and platform teams on large-scale pipelines, vector databases, feature stores, and graph databases - Partner with product, security, and compliance teams to integrate AI capabilities into Simpplr’s enterprise platform Engagement Details - Commitment: ~35 hours per week with predictable workload and clear deliverables - Work Model: 100% remote engagement from our side - Compensation: Monthly payouts with a transparent pay cycle - Tenure: Long-term engagement for high performers; continuity and stability assured - Eligibility: Open only to professionals currently working in a full-time remote role (validated during screening) - Growth: Opportunity to work on complex, high-impact products alongside senior engineering leadership.

Requirements

• Knowledge Graphs
• Graph-Based Systems
• Machine Learning
• NLP
• Data Engineering

Preferred Technologies

• Knowledge Graphs
• Graph-Based Systems
• Machine Learning
• NLP
• Data Engineering

About the company

Leading MNC is a product engineering firm partnering with top-tier global organizations across various industries including consulting, fintech, retail, and consumer tech. It boasts a solid engineering team delivering high-impact solutions in areas such as Agentic AI, GenAI, RPA, and full-stack development.