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Energy Data Science Jobs in Brooklyn, NY (NOW HIRING)

Senior Energy Project Engineer

New York, NY · On-site +1

$90K - $140K/yr

Bachelor's degree in Electrical Engineering, Physics, Operations Research, Industrial Engineering, Data Science, or related field (PhD is a plus). * 6-8 years of experience in renewable energy ...

Arcadia is the global utility data and energy solutions platform. With our leading data platform ... Bachelor's degree in Computer Science or related field required 6+ years of software development ...

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Energy Data Science information

What is the difference between Energy Data Science vs Energy Analyst?

AspectEnergy Data ScientistEnergy Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; knowledge of programming languages like Python or RDegree in Energy, Economics, or related field; strong analytical skills
Work EnvironmentData-driven projects, modeling, and algorithm development in tech or energy companiesData analysis, reporting, and market assessment in energy firms or utilities
Employer & Industry UsageTech companies, energy firms focusing on data modeling and predictive analyticsUtilities, energy consulting, and market analysis firms

Energy Data Scientists focus on developing models and algorithms to analyze energy data, while Energy Analysts interpret data to inform business decisions. Both roles require analytical skills, but Data Scientists emphasize programming and modeling, whereas Analysts focus on reporting and market insights.

What are popular job titles related to Energy Data Science jobs in Brooklyn, NY? For Energy Data Science jobs in Brooklyn, NY, the most frequently searched job titles are:
What cities near Brooklyn, NY are hiring for Energy Data Science jobs? Cities near Brooklyn, NY with the most Energy Data Science job openings:
Senior Data Scientist - Semantic Chunking

Senior Data Scientist - Semantic Chunking

Harnham

New York, NY • Remote

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Senior Data Scientist - Semantic Chunking

$180,000-$200,000 base + bonus + benefits

Remote

About the Organization

Join a global financial services company delivering intelligent information and technology solutions to professionals in legal, tax, compliance, and corporate sectors. The team is part of the organization's innovation hub, focused on applying AI, LLM, and data science to create forward-looking tools.

The environment combines the best of both worlds: startup energy with enterprise support. Projects include building agentic systems to automate tax prep and document summarization for legal and financial workflows.

About the Role

This is a hands-on, model building / development-focused role-ideal for someone with a strong foundation in applied NLP research and a passion for making machine learning work in the real world. You'll own experiments, iterate on PoCs, and help define how ML models are built for in production environments. You'll serve as a technical expert in semantic chunking, information retrieval and RAG.

What You'll Bring

  • 5+ years of machine learning and NLP modeling experience in applied research and production environments
  • PhD in Computer Science, Computational Linguistics, Statistics or similar highly preferred
  • Technical leadership experience required; direct people management a plus
  • Experience with LLMs and agents for financial services, legal or compliance
  • Background in: NLP: semantic chunking, Named Entity Recognition / NER, information extraction, and information retrieval
  • Cloud environments (provider-agnostic), AWS or GCP a plus
  • Python, PyTorch, TensorFlow, Hugging Face, BERT, RAG experience preferred
  • Publication and patent history a plus
  • Strong collaboration and communication skills, including experience working with non-technical stakeholders
  • Independent problem-solver with a proactive mindset

Preferred Experience

  • Technical leadership on NLP products
  • Experience delivering LLM-based solutions
  • Familiarity with all stages of the AI product lifecycle
  • Startup or fast-paced innovation environment experience

HOW TO APPLY

Please register your interest by sending your rsum to Tim Jonas via the Apply link on this page.

KEYWORDS

Machine Learning | GenAI | Gen AI | Generative AI | LLMs | Large Language Models | Artificial Intelligence | Applied Research | Production | AI | Artificial Intelligence | Publications | Patents | PyTorch | Python | Deployment | Hugging Face | RAG | Retrieval Augmented Generation | Agents | Agentic AI | Generative AI | NLP | Natural Language Processing | Chatbots | NER | Information Extraction | Information Retrieval |Semantic Chunking