
Change is here....Anchored by a startup culture and human-centered delivery approach, Steampunk puts our Federal government clients in the center of everything we design, develop, and deliver to drive game changing mission impacts and user experience.

Change is here....Anchored by a startup culture and human-centered delivery approach, Steampunk puts our Federal government clients in the center of everything we design, develop, and deliver to drive game changing mission impacts and user experience.
Industry: Information Technology / Consulting (Federal government focus)
Headquarters: Washington, District of Columbia, United States
Founded: circa 2019
Approx. employees: 251-500 (public profiles list ~390)
Funding signal: No public external investors or funding rounds listed on searched profiles
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Modernizing government IT systems and improving user-centered mission delivery.
2019
Information Technology / Consulting
Overview:
We are looking for seasoned Data Scientist to work with our existing team of Data Scientists and Engineers to use Generative AI technology in supporting Federal use cases. We are looking for a more than just a "Data Scientist", but a technologist with excellent communication and customer service skills and a passion for data and problem solving.
Contributions:
Qualifications:
About steampunk:
Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $125,000 to $160,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk’s total compensation package for employees. Learn more about additional Steampunk benefits here.
Identity Statement
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. As an employee owned company, we focus on investing in our employees to enable them to do the greatest work of their careers – and rewarding them for outstanding contributions to our growth. If you want to learn more about our story, visit http://www.steampunk.com.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program.
Ability to hold a position of public trust with the US government.
Master's Degree and 3 years of relevant experience; OR
3+ years industry experience developing ML/AI solutions and a passion for solving complex problems.
Must have hands-on experience in building and deploying generative models, with a portfolio of relevant projects.
Must be proficient in Python, with strong coding practices for scalability and reproducibility. Familiarity with R is a plus.
Demonstrated experience in building, training, and deploying generative models like Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), or autoregressive models like Transformer-based architectures.
Demonstrated experience manipulating structured and unstructured data for analysis
Demonstrated experience using AI frameworks like TensorFlow, PyTorch, Keras, or JAX. Ability to implement and modify complex neural network architectures.
Skilled in using data manipulation and analysis libraries such as Pandas, NumPy, SciPy, and Scikit-learn.
Experience in Cloud analytics (AWS, Azure, or GCP) with tools such as AWS SageMaker, AWS Bedrock, Azure OpenAI, etc.
Experience with DevSecOps, as it applies to data science and MLOps
Data visualization skills in Tableau, Power BI, D3, ArcGIS, or similar are a plus
Experience with Git, Bash, Unix commands
Experience with Elasticsearch, AWS Kendra, Azure Cognitive Search, or similar tool is a plus