Data Scientist (GenAI & Utility/Energy) | Wayne, Indiana

Tech Junction Ltd; Indiana; Hybrid; USD 180.000 - 260.000; Vollzeit

Benefits dieser Stelle

Remote work considered?

Zusammenfassung

Tech Junction Ltd in Wayne, Indiana, is seeking a Senior Data Scientist specializing in GenAI for the utility/energy sector. You will own end-to-end AI solution design, LLM orchestration, and deployment of scalable RAG pipelines for enterprise datasets.

You will lead model development, feature engineering, and evaluation, collaborating with data engineers and client stakeholders. Onsite work is mandatory with a contract/full-time arrangement.

Qualifikationen

• Bachelor's or Master's degree in a related technical field.
• 10+ years of data science, analytics and ML engineering.
• Hands-on RAG pipelines and GenAI experience.
• AI model development, NLP and transformer architectures.
• Proficiency in Python and SQL; LangChain and LlamaIndex experience.
• Experience in utility, energy or oil & gas domains.
• Strong analytical and cross-functional communication skills.
• Onsite availability in Wayne, Indiana with work authorization.

Aufgaben

• Design, develop, and deploy production-grade RAG pipelines and LLM apps.
• Lead AI model development and deep learning architectures.
• Write optimized Python and SQL for data manipulation and model training.
• Apply domain expertise to build context-aware predictive models.
• Integrate vector databases and semantic search into workflows.
• Collaborate with data engineers, software developers, and stakeholders.
• Monitor model performance, tune hyperparameters, mitigate hallucinations.
• Maintain technical documentation and architecture specs.

Kenntnisse

10+ years data science

NLP and transformers

Cross-functional communication

Ausbildung

Bachelor's or Master's in CS/DS/Stats/AI

Tools

Python (PyTorch/TensorFlow)

LangChain

LlamaIndex

SQL

Pinecone

Milvus

Chroma

Jobbeschreibung

Position Summary:

We are actively seeking an experienced, high-caliber, and visionary Senior Data Scientist specializing in Generative AI (GenAI) and the Utility/Energy domain to join our team in Wayne, Indiana on a full-time contract basis. In this critical senior AI engineering role, you will be responsible for developing state-of-the-art Retrieval-Augmented Generation (RAG) pipelines, building advanced machine learning models, and solving complex data challenges within the utility, energy, and oil & gas sectors. You will leverage your 10+ years of professional analytics experience, advanced proficiency in Python and SQL, and deep domain knowledge to drive enterprise AI transformation. This opportunity offers competitive compensation, high-impact project visibility, and executive exposure within a leading technology consultancy.

Detailed Job Description:

As a Senior Data Scientist specializing in GenAI and Energy supporting operations in Wayne, Indiana, you will take full technical ownership of end-to-end artificial intelligence solution design, LLM orchestration, and predictive model deployment. Your day-to-day responsibilities include architecting scalable RAG pipelines, fine-tuning foundation models, designing vector database integrations, and writing optimized Python and SQL code for massive enterprise datasets. You will collaborate closely with domain experts, data engineers, and client stakeholders in the utility, energy, and oil & gas sectors to translate operational challenges into robust data science solutions. Furthermore, you will lead model evaluation, ensure rigorous AI governance, and deliver comprehensive technical documentation.

Key Responsibilities:

• Design, develop, and deploy production-grade Retrieval-Augmented Generation (RAG) pipelines and LLM applications.
• Lead advanced AI model development, machine learning algorithms, and deep learning architectures.
• Write advanced, highly optimized Python and SQL code for data manipulation, feature engineering, and model training.
• Apply deep domain expertise in the utility, energy, and oil & gas sectors to build context-aware predictive models.
• Integrate vector databases (e.g., Pinecone, Milvus, Chroma) and semantic search frameworks into enterprise workflows.
• Collaborate with cross-functional data engineers, software developers, and business stakeholders.
• Monitor model performance, tune hyperparameters, mitigate hallucinations, and ensure output reliability.
• Maintain rigorous technical documentation, model code repositories, and architecture specifications.

Required Qualifications & Skills:

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Artificial Intelligence, or a related technical discipline.
• Minimum of 10+ years of professional experience in data science, advanced analytics, and machine learning engineering.
• Proven, hands-on professional experience developing RAG pipelines and Generative AI applications.
• Extensive background in AI model development, natural language processing (NLP), and transformer architectures.
• Advanced proficiency in Python (PyTorch/TensorFlow, LangChain, LlamaIndex) and advanced SQL query optimization.
• Proven, verifiable professional experience in the utility, energy, or oil & gas domain.
• Exceptional analytical, problem-solving, and cross-functional communication capabilities.
• Mandatory local availability for 100% onsite operations in Wayne, Indiana with valid work authorization.

Nice-to-Have Skills:

• Ph.D. in Computer Science, Artificial Intelligence, or Operations Research.
• Cloud certifications on AWS, Azure, or GCP with specialized machine learning credentials.
• Prior experience implementing MLOps pipelines (MLflow, Kubeflow) and containerized AI deployments (Docker, Kubernetes).
• Strong background in smart grid analytics, load forecasting, or oil & gas reservoir modeling.
• Experience presenting AI insights to C-suite energy executives.

Application Information:

• Salary/Rate: Market Competitive / Senior Enterprise Contract Rate
• Deadline: Open until filled
• Notice Period: Immediate to 2 Weeks
• Contract Duration: Contract / Full-Time Onsite (Wayne, Indiana)

Recruitment Pro Tip:

• When applying for this Data Scientist position, ensure your CV explicitly highlights your RAG pipeline development projects, GenAI expertise, and your specific domain background in utility, energy, or oil & gas.