Data Scientist

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    "datePosted": "2026-03-17T04:00:00.000Z",
    "description": "<h2>Overview</h2>\n<p>We are looking for seasoned <strong>Data Scientist </strong>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. </p>\n<h2>Contributions</h2>\n<ul>\n <li>Design and train advanced machine learning models, especially generative models like GANs, VAEs, or transformer-based models. </li>\n <li>Manage datasets, perform data cleaning, and preprocessing to ensure high-quality inputs for model training. </li>\n <li>Conduct experiments to test hypotheses and refine models based on performance metrics. </li>\n <li>Work closely with ML Engineers and Software Developers to transition models from a research and development stage to production. </li>\n <li>Stay updated with the latest research and trends in AI to implement cutting-edge solutions. </li>\n <li>Ability to leverage and integrate various data management tools at scale – cloud experience preferred </li>\n <li>Support an Agile software development lifecycle </li>\n <li>You will contribute to the growth of our Data Exploitation Practice! </li>\n</ul>\n<h2>Qualifications</h2>\n<ul>\n <li>Ability to hold a position of public trust with the US government. </li>\n <li>Master's Degree and 1 years of relevant experience; OR\n  <ul>\n   <li>Bachelors degree and 3 years of relevant experience; OR</li>\n   <li>No degree and 8 years of relevant experience</li>\n  </ul></li>\n <li>3+ years industry experience developing ML/AI solutions and a passion for solving complex problems.  </li>\n <li>Must have hands-on experience in building and deploying generative models, with a portfolio of relevant projects. </li>\n <li>Must be proficient in Python, with strong coding practices for scalability and reproducibility. Familiarity with R is a plus. </li>\n <li>Demonstrated experience in building, training, and deploying generative models like Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), or autoregressive models like Transformer-based architectures. </li>\n <li>Demonstrated experience manipulating structured and unstructured data for analysis </li>\n <li>Demonstrated experience using AI frameworks like TensorFlow, PyTorch, Keras, or JAX. Ability to implement and modify complex neural network architectures. </li>\n <li>Skilled in using data manipulation and analysis libraries such as Pandas, NumPy, SciPy, and Scikit-learn. </li>\n <li>Experience in Cloud analytics (AWS, Azure, or GCP) with tools such as AWS SageMaker, AWS Bedrock, Azure OpenAI, etc. </li>\n <li>Experience with DevSecOps, as it applies to data science and MLOps </li>\n <li>Data visualization skills in Tableau, Power BI, D3, ArcGIS, or similar are a plus </li>\n <li>Experience with Git, Bash, Unix commands </li>\n <li>Experience with Elasticsearch, AWS Kendra, Azure Cognitive Search, or similar tool is a plus </li>\n</ul>\n<p>Preferred Qualifications</p>\n<ul>\n <li>Experience supporting cross-organizational initiatives working across multiple stakeholder groups to interpret data and drive actionable insights.</li>\n <li>Background or exposure to cybersecurity concepts, especially as they relate to data analysis, risk identification, or anomaly detection.</li>\n <li>Familiarity with Security Operations Center (SOC) environments, data, workflows, or tools (e.g., SIEM analytics, alert tuning, telemetry analysis).</li>\n <li>Ability to analyze operational data to identify relationships, trends, anomalies, and early indicators of compromise.</li>\n <li>Experience developing or automating alert logic, detection models, or risk‑oriented analytics.</li>\n <li>Ability to transform large, complex operational datasets into meaningful dashboards or visualizations that support risk scoring and decision-making.</li>\n</ul>\n<h2>About <strong>steampunk</strong></h2>\n<p>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.  </p>\n<p> </p>\n<p><strong>Identity Statement</strong></p>\n<p>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.</p>\n<p> </p>\n<p>Steampunk is a <strong>Change Agent</strong> in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors.  Through our <strong>Human-Centered delivery methodology</strong>, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges.  As an <strong>employee owned company</strong>, 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.</p>\n<p> </p>\n<p> </p>",
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