Data Scientist

Overview

Acuity, Inc. seeks dynamic, self-motivated individuals with experience as a Data Scientist. The Client provides data-driven business analysis to support senior organizational leaders and requires support specializing in natural language processing (NLP) and associated data preparation to help identify challenges and opportunities for the Client’s customers. The Client needs experienced SQL and Python skills to transform the Client’s structured and unstructured data into clear and supported analytic insights to help customers with decision making related to production, resources and personnel.

The work may be performed independently or within a team environment.

Why Acuity?

We’re building more than careers—we’re building a place people genuinely love to work. At Acuity, you’ll get:

• Strong work-life balance and a people-first culture
• Competitive compensation + Health/Dental/Vision coverage
• 401(k) with company match
• Up to $3,000 annually for training and certifications and up to $3,000 for degree seeking programs

Recognized as a Best Places to Work (Washington Business Journal, 8+ years) Named a Top Workplace by The Washington Post (2022–2025)

Ready to grow with a team that invests in you? Learn more:

Are you ready to use your expertise in the areas of IT Modernization, Data Enablement, and Hyperautomation to make a real difference? Join Acuity, Inc., a technology consulting firm that supports federal agencies. We combine industry partnerships and long-term federal experience with innovative technical leadership to support our customers’ critical missions.

What you 'll be doing:

• Shall work closely with the Client’s data scientists and technical team to implement requirements; however, the Client’s GTM will manage the priorities.
• Shall conduct sophisticated analysis using deployed tools and natural language processing.
• Shall analyze large amounts of raw data, including text data, to provide business insights.
• Shall preprocess or clean structured and unstructured Client data, including text data.
• Shall design and implement advanced ETL code and table configurations for complex data sets.
• Shall use Structured Query Language (SQL) in Client’s Oracle database to develop and organize relevant information with supporting analytics.
• Shall independently, or with a team, author analytic publications and produce ad-hoc reports to include data visualizations using the Client’s templates.
• Shall stay current with the Client’s enterprise metadata collection tools.
• Shall implement the Client’s existing coordination process.
• Shall provide technical education to staff on an ad-hoc basis.
• Shall provide subject matter expertise in NLP to support Client’s initiatives.

Required Skills:

• Demonstrated professional or academic experience performing NLP tasks, including selecting the best Python libraries for a given task, choosing appropriate pre-processing actions, performing analysis, and assessing model performance.
• Demonstrated professional or academic experience using Python NLP packages such as Spacy, Gensim, or NLTK to analyze or process collections of documents.
• Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras.
• Demonstrated professional or academic experience with the Hugging Face Transformers library and hub.
• Demonstrated experience creating machine learning models that conduct text classification and topic modeling in Python using standard machine learning (Scikit-learn) or deep learning models.
• Demonstrated academic or professional experience using encoder-decoder and generative language models to perform NLP tasks.
• Demonstrated academic or professional experience communicating methodological choices and model…