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Director Spacy Jobs (NOW HIRING)

Seven (7)+ years of direct experience in machine learning. * Master's or Ph.D. in Statistics ... Python (pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Hugging Face Transformers, spaCy ...

Seven (7)+ years of direct experience in machine learning. * Master's or Ph.D. in Statistics ... Python (pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Hugging Face Transformers, spaCy ...

... as directed * Write and maintain technical documentation for application workflows, integrations ... Demonstrated experience using Natural Language Processing tools such as spaCy, NLTK, Stanford ...

Lead Research Engineer

New York, NY · On-site +1

$112K - $147K/yr

As a member of Thomson Reuters Labs, you will have a direct impact on our company and develop ... Pandas, Dask, spaCy, NLTK, scikit-learn, PyTorch. * Take pride in writing clean, reusable ...

$57/hr

... spaCy, Pydantic, Airflow/Prefect). * APIs/services: RESTful design, auth, pagination, retries ... Clear, direct communication in a remote team. * Bonus: prior work at the intersection of ML ...

... spaCy, and Gensim. Deloitte is committed to providing reasonable accommodations for people with ... If you require a reasonable accommodation to participate in the recruiting process, please direct ...

Data Science Manager

Columbia, MD · On-site

$125K - $160K/yr

Experience in email marketing and direct marketing * Experience managing people * Proficiency in Python , SQL , and tools like Pandas , Scikit-learn , NLTK / spaCy , and Spark * Familiarity with ...

Lead Research Engineer

Eagan, MN · On-site +1

$104K - $137K/yr

As a member of Thomson Reuters Labs, you will have a direct impact on our company and develop ... Pandas, Dask, spaCy, NLTK, scikit-learn, PyTorch. * Take pride in writing clean, reusable ...

... directed. • Write and maintain technical documentation for application workflows, integrations ... such as spaCy, NLTK, Stanford CoreNLP, or Gensim Natural Language Processing whether through ...

Senior GenAI Engineer

Arlington, VA · On-site

$120K - $165K/yr

... spaCy, and Gensim. Deloitte is committed to providing reasonable accommodations for people with ... If you require a reasonable accommodation to participate in the recruiting process, please direct ...

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Senior Data Scientist

Senior Data Scientist

OneGlobe LLC

Washington, DC • On-site

Full-time

Posted 28 days ago


Job description

Key Responsibilities:
  • Conceptualize research problems, design studies, and lead the development of advanced analytic and ML solutions across supervised, unsupervised, NLP, graph, and (where appropriate) generative-AI techniques.
  • Translate ambiguous mission questions into clearly defined hypotheses, data requirements, and modeling approaches.
  • Author and review implementation roadmaps, data exploration reports, model prototype evaluations, and final model analysis reports.
  • Build, validate, and harden production models - including model cards, bias and fairness assessments, drift monitoring, and reproducibility artifacts.
  • Lead code reviews, establish coding standards, and mentor data scientists and analysts on the team.
    Continuously update and enhance analytic dashboards used to model real-world scenarios and identify potential mission impacts.
  • Represent the team in technical reviews, working groups, and stakeholder briefings; advise senior project personnel on technical matters.
  • Stay current on emerging ML, MLOps, and responsible-AI practices and recommend adoption where they advance the mission.

Requirements
  • Ten (10)+ years of relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, or operations research.
  • Seven (7)+ years of direct experience in machine learning.
  • Master's or Ph.D. in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research, or a closely related quantitative or technical discipline. (Ph.D. may substitute for up to three years of experience.)
  • Demonstrated ability to create and validate data mining methods, ML models, and analytical results delivered through reporting and visualization.
  • Strong communication skills covering analysis techniques, testing, and model validation processes for both technical and non-technical audiences.
Preferred Qualifications:
  • Experience in financial crime, fraud detection, regulatory analytics, supply-chain, or other high-stakes mission domains.
  • Hands-on experience with modern NLP / LLMs - including retrieval-augmented generation (RAG), embedding models, fine-tuning, prompt engineering, and evaluation frameworks
  • Experience with graph analytics for entity resolution, network risk, and link analysis.
  • Experience with MLOps pipelines, feature stores, model registries, and production monitoring for drift and bias
    Publications, patents, or open-source contributions in machine learning.
Tools & Technologies
  • Languages: Python (pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Hugging Face Transformers, spaCy, NetworkX), R, SQL
    ML / MLOps: MLflow, Kubeflow, SageMaker, Azure ML, Vertex AI, Weights & Biases, DVC, Airflow, dbt.
  • LLMs & GenAI: OpenAI / Anthropic / Bedrock APIs, LangChain, LlamaIndex, vector stores (FAISS, pgvector, Pinecone, OpenSearch).
  • Big data: Spark / PySpark, Databricks, Snowflake, Dask, Ray
  • Visualization: Tableau, Power BI, Plotly, Streamlit, Dash.
  • Cloud (gov): AWS GovCloud, Azure Government.
  • Collaboration & code: Git/GitHub, Jupyter, VS Code, Docker, Kubernetes.
Clearance & Suitability
U.S. Citizenship required. Candidates must currently possess or be able to favorably pass a five (5) year federal background investigation prior to start. All candidates must clear OneGlobe's pre-screening process, which includes review for felony convictions in the past 36 months, illegal drug use in the past 12 months, relevant misconduct, and a financial background check. Work is primarily UNCLASSIFIED and performed at a federal customer site in the Washington, D.C. metropolitan area, with potential for hybrid arrangements per program policy. Occasional travel may be required.