> Markdown version of [/jobs/ext/1954395-senior-data-scientist](https://www.wearedevelopers.com/jobs/ext/1954395-senior-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - **Company:** Sp Global, Inc. - **Location:** Princeton, NJ, United States - **Experience:** Expert - **Salary:** $90,000.0 - $160,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Data Analysis, Code Review, Encodings, Data Mining, Database Storage Structures, Web Development, Django Web Framework, Github, R (Programming Language), Information Retrieval, Python (Programming Language), Linear Programming, Machine Learning, NumPy, Redis, Software Engineering, SQL Databases, Systems Integration, Pytorch, Flask (Web Framework), Large Language Models, Multi-Agent Systems, Prompt Engineering, Deep Learning, Kaggle, Fastapi, Pandas, Scikit Learn, Deployment Automation, HuggingFace, Spacy, Streamlit Framework, Natural Language Understanding, Programming Languages - **Published:** August 6, 2026 - **Apply:** https://www.juju.com/job/00000000glv3oe ## About the Role + Strong grasp of statistics, probability, and the mathematics underpinning modern AI. + Linear programming and optimization. + Multi-dimensional optimizers, such as Adam, SGD, Gradient Descent … + Ability to adjust weights for full/partial tuning of LLMs. + Hands-on experience with any large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering,fine-tuning/customization,and embedding-based retrieval + Intermediate to expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers). + Understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems. + Solid understanding of database structures and SQL. + Ability to perform independent research and synthesize current AI/ML research, with a track record of applying new methods in production. + Experience in end-to-end GenAI or advanced NLP projects, such as NER, table extraction, OCR integrations, or GNN solutions. + Familiarity with orchestration and deployment tools: Airflow, Redis,Flask/Django/FastAPI,SQL,R-Shiny/Dash/Streamlit. + Openness to evaluate and adopt emerging technologies and programming languages as needed. + Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications. + 5+ years in professional work within AI space or buildingstatistical/mathematicalquantitative models in production. Preferred Qualification + Advanced technical degree (Master and above) in any of Sciences, Technology, Engineering and Mathematics. + Experience in productionizing AI applications. + Experience with multi-modal LLMs and integrating vision and text for autonomous agents. ## Description Grade Level (for internal use), The Collection Platforms & AI team you will work on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global and our clients. You will spearhead development of production-ready AI products and pipelines while leading-by-example in a highly engaging work environment. You will work in a global team and encouraged for thoughtful risk-taking and self-initiative. The Impact: + The Collection Platforms & AI team has already delivered breakthrough products and significant business value over the last 5 years. + In this role you will be developing our next generation of new products while enhancing existing ones aiming at solving high-impact business problems. What's in it for you: + You will be part of a dynamic team that solves diverse problems using applied machine learning and web development with an end-to-end implementation of the solution: inception, prototyping, development, and productionizing., + Develop and deploy large-scale ML and GenAI-powered products and pipelines. + Own all stages of the data science project lifecycle, including:Develop, deploy, monitor, and scale models through the full Software Development Life Cycle into production (including both ML and GenAI services).Perform exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches.Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics.Follow coding standards, perform code reviews, and optimize data science workflows.Evaluation, interpretation, and communication of results to executive stakeholders., At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. ## Related Videos - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [Vectorize all the things! 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