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Data Scientist Washington, DC

Data Scientist Washington, DC

Kaizen Lab Inc.Washington, DC, United States
30+ days ago
Job type
  • Full-time
Job description

Rapid Strategy is an award-winning, African-American-owned small business providing advanced cybersecurity and IT services to federal and commercial clients. Our mission is to deliver secure, high-impact solutions that support national objectives and operational resilience. We are currently seeking a Data Scientists to support an existing federal customer, contingent upon contract award. This role will support the development, deployment, and continuous improvement of AI / ML and Generative AI solutions in a secure cloud environment. The ideal candidate will combine deep technical expertise in Python, NLP, and statistical modeling with hands-on experience deploying models in production environments. The role includes responsibilities across solution development, model maintenance, and team collaboration.

Responsibilities

  • Research, design, and deploy machine learning and AI models in cloud environments, applying an iterative, hands-on approach.
  • Translate business needs into predictive and prescriptive models that deliver tangible value across the enterprise.
  • Implement and fine-tune models using frameworks such as Transformer, Scikit-learn, SpaCy, XGBoost, and deep learning libraries.
  • Lead the development of new Generative AI capabilities using technologies like GPT, Claude, or HuggingFace platforms.
  • Collaborate with cross-functional teams to understand unique business challenges and apply AI / ML to solve them.
  • Utilize AWS data and AI services to develop scalable data pipelines and model training infrastructure.
  • Maintain a detailed understanding of existing AI / ML models, including data pipelines, training methodology, infrastructure, and monitoring tools.
  • Establish processes to monitor, retrain, and improve model accuracy and performance over time.
  • Expand and improve training datasets while validating input data quality.
  • Present insights and model outputs to technical and non-technical stakeholders, supporting informed decision-making.
  • Collaborate with data engineers, analysts, and business teams to align models with operational objectives.

Required Qualifications

  • 6 to 10 years of hands-on experience developing, deploying, and maintaining AI / ML solutions in professional or academic environments.
  • Bachelor’s degree in Computer Science, Data Science, or a related technology field (Master’s preferred).
  • Advanced proficiency in Python and experience with additional programming languages (e.g., R, Java).
  • Deep knowledge of statistical modeling, machine learning, and data analysis techniques.
  • Experience deploying AI / ML models in AWS environments, using services like S3, SageMaker, Lambda, or DynamoDB.
  • Proficiency with Natural Language Processing (NLP) techniques (e.g., Text Normalization, NER, POS tagging, word embeddings).
  • Familiarity with Generative AI tools and concepts, including prompt engineering and fine-tuning large language models (LLMs).
  • Strong analytical and problem-solving skills, with the ability to work independently and collaboratively.
  • Preferred Qualifications

  • Experience with cloud-native DevSecOps, CI / CD pipelines for ML models, and model version control.
  • Knowledge of federal data governance, privacy, and compliance requirements (e.g., FedRAMP, FISMA).
  • Prior experience supporting federal agencies or regulated industries in data science or AI strategy roles.
  • Contributions to open-source AI / ML projects or published research.
  • Who Should Apply

    This role is ideal for experienced data scientists, ML engineers, and AI technologists passionate about building and maintaining impactful AI / ML products. If you bring strong technical depth, a clear understanding of operational AI, and an eagerness to innovate with generative AI and NLP in secure environments, we encourage you to apply. This is a high-impact opportunity for professionals seeking mission-driven work in a collaborative and forward-looking setting.

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    Data Scientist • Washington, DC, United States

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