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". We are looking for a technologist with excellent communication and customer service skills and a passion for data and problem solving.
Responsibilities:
* 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 Machine Learning 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:
* 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 of 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.
* Experience with BigQuery and Looker
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