What are the responsibilities and job description for the Data Scientist position at Saicon?
Data Scientist (Contract, Hybrid NYC)
Join an Innovative Team Building the Future of AI
We're partnering with an industry-leading client to find a Data Scientist who is passionate about applying machine learning, NLP, and generative AI to solve complex business challenges.
In this contract opportunity, you'll collaborate with engineering, product, and business teams to build intelligent search solutions, enhance content discovery, improve metadata generation, and develop production-ready AI applications that create measurable business value.
If you're excited by large language models, intelligent search, and building scalable ML solutions, we'd love to connect.
What You'll Do
- Design, build, evaluate, and optimize machine learning models for production environments.
- Develop AI-powered search, retrieval, and content enrichment solutions.
- Build scalable data and ML pipelines, including multimodal embeddings and knowledge extraction.
- Fine-tune and evaluate NLP and transformer-based models.
- Research and implement emerging AI technologies, including LLMs and multimodal models.
- Partner with cross-functional teams to deliver innovative product features.
- Analyze model performance and continuously improve accuracy, scalability, and relevance.
- Communicate technical findings to both technical and business stakeholders.
- Support the full machine learning lifecycle from experimentation through deployment and monitoring.
What We're Looking For
Required
- 3 years of professional experience in Data Science or Applied Machine Learning
- Bachelor's degree in Computer Science, Data Science, Machine Learning, or a related technical field
- Strong Python skills, including NumPy, Pandas, and experience working with large JSON datasets
- Experience with machine learning techniques including classification, clustering, regression, and ranking
- Hands-on experience with NLP, including:
- Named Entity Recognition (NER)
- Entity Disambiguation
- Semantic Similarity
- Embedding-Based Retrieval
- Experience with transformer models for extraction, classification, summarization, and text generation
- Experience building search and retrieval solutions using Elasticsearch or OpenSearch
- Experience working with LLMs and multimodal AI models
- Experience processing large-scale text and image datasets
- Familiarity with MLOps and deploying production machine learning solutions
- Knowledge of A/B testing, experimentation, and model evaluation metrics
- Excellent communication and problem-solving skills
Preferred
- Master's degree in a related technical field
- Experience with graph databases or knowledge graphs
- Experience designing AI-powered search, recommendation, or content intelligence platforms
- Experience working with large-scale production datasets
- Interest in emerging AI and generative AI technologies
Additional Information
- Contract Position
- Hybrid schedule (multiple onsite days each week)
- U.S. work authorization required. Candidates must be authorized to work in the United States without current or future sponsorship.
Interested?
Apply today to join a team building next-generation AI solutions that are transforming search, discovery, and content intelligence.