We are looking for seasoned a 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 more than just a "Data Scientist", but a technologist with excellent communication and customer service skills and a passion for data and problem solving. Design and train advanced machine learning models, especially generative models like GA - Ns, VA - Es, or transformer-based models. Manage datasets, per... more details
Data Scientist - Generative AI
Job LocationUS-VA-McLean
Posted Date18 hours ago(6/27/2024 2:38 PM)
Job ID
5430
Clearance Requirement
Public Trust
Overview
In today’s rapidly evolving technology landscape, an organization’s data has never been a more important aspect in achieving mission and business goals. Our data exploitation experts work with our clients to support their mission and business goals by creating and executing a comprehensive data strategy using the best technology and techniques, given the challenge.
At Steampunk, our goal is to build and execute a data strategy for our clients to coordinate data collection and generation, to align the organization and its data assets in support of the mission, and ultimately to realize mission goals with the strongest effectiveness possible.
For our clients, data is a strategic asset. They are looking to become a facts-based, data-driven, customer-focused organization. To help realize this goal, they are leveraging visual analytics platforms to analyze, visualize, and share information. At Steampunk you will design and develop solutions to high-impact, complex data problems, working with the best and data practitioners around.
Contributions
We are looking for seasoned a 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 more than just a "Data Scientist", but a technologist with excellent communication and customer service skills and a passion for data and problem solving.
Design and train advanced machine learning models, especially generative models like GANs, VAEs, or transformer-based models.
Manage datasets, perform data cleaning, and preprocessing to ensure high-quality inputs for model training.
Conduct experiments to test hypotheses and refine models based on performance metrics.
Work closely with ML Engineers and Software Developers to transition models from a research and development stage to production.
Stay updated with the latest research and trends in AI to implement cutting-edge solutions.
Ability to leverage and integrate various data management tools at scale – cloud experience preferred
Support an Agile software development lifecycle.
You will contribute to the growth of our Data Exploitation Practice!
Qualifications
US Citizen Only.
Ability to hold a position of public trust with the US government.
Bachelor's degree in computer science, data science/statistics, information systems, engineering, business, or a scientific or technical discipline.
2-4 years industry experience developingML/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.
This position will require travel to the client site one time per week
About steampunk
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.
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