> Markdown version of [/jobs/ext/4581121-senior-data-scientist-onsite-in-nj](https://www.wearedevelopers.com/jobs/ext/4581121-senior-data-scientist-onsite-in-nj). 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- Onsite in NJ - **Company:** The Dignify Solutions LLC - **Location:** Somerville, NJ, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, BigQuery, Cloud Computing, Cloud Storage, Extract Transform Load (ETL), Data Visualization, Data Flow Control, Python (Programming Language), Machine Learning, Tensorflow, Software Engineering, SQL Databases, Feature Store, Data Processing, Google Cloud, Pytorch, Generative AI, Scikit Learn, Kubernetes, Google Cloud Functions, Graphql, Machine Learning Operations, Api Design, Software Version Control, Data Pipelines, Docker, Microservices - **Published:** November 5, 2026 - **Apply:** https://www.thejobnetwork.com/job/2fd4cb17-5ab0-4a67-972e-6453b6722a2a/senior-data-scientist-onsite-in-nj ## About the Role * Overall 10-12yrs and Minimum 5-7 years of hands-on experience developing GenAI/ML models and deploying them in a cloud environment. * Proficiency with Google Cloud Platform (GCP) and its AI/ML offerings (e.g., Vertex AI, BigQuery, Dataflow, Cloud Storage, Pub/Sub, Cloud Run, GKE). * Must have experience working with any agentic framework * Knowledge of Retrieval-Augmented Generation (RAG) concepts and processes * Strong software engineering skills: Python (primary), experience with ML frameworks (TensorFlow, PyTorch, scikit-learn), and API development (REST/GraphQL). * Experience designing and deploying microservices architectures and containerized solutions (Docker, Kubernetes; preference for GKE). * Solid experience in MLOps: model versioning, experiments, automated training, feature stores, model registries, monitoring, and governance. * Data processing and analytics expertise: SQL, data pipelines, ETL/ELT concepts, data quality, and data visualization support.