GenAI Data Scientist

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 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 data practitioners around. 

Contributions

We are looking for GenerativeAI Data Scientist to develop solutions that ensure federal clients can implement safe, secure, equitable, and privacy-enhancing AI/ML. The Senior Data Scientist will work at the forefront of responsible AI, helping move the sector beyond frameworks to tangible practices.  We are looking for more than just a "Senior Data Scientist", but a technologist and thought leader with excellent communication and customer service skills and a passion for data and problem solving.

 

Key Responsibilities:

• Rigorously evaluate AI/ML development tools and techniques, technical architecture, and data sets to identify AI related risks and policy implications.
• Develop innovative solutions to operationalize AI policy requirements by embedding them in data and model pipelines.
• Develop, test, and support strategies to test and measure AI/ML bias, accuracy, and fairness.
• Develop and implement solutions to anonymize / sanitize both structured and unstructured data sets.
• Translate AI governance standards into technical SOPs. Develop clear documentation and guidance.
• Serve as a trusted advisor and technical resource to teams developing, deploying, and procuring AI to build federal partners’ capacity to use AI responsibly and effectively.
• Support policy experts to develop relevant, practical AI policies and governance standards. 
• Support the operationalization of the NIST AI Risk Management Framework. 
• Develop Steampunk’s thought leadership on Responsible AI best practices; represent Steampunk in industry forums.
• You will contribute to the growth of our Data Exploitation and AI Practice!

Qualifications

• Ability to hold a position of public trust with the US government.
• Master's degree and 3 years of relavent experience; OR
  • Bachelor's degree and 5 years of relavent experience; OR
  • No degree and 9 years of relavent experience
• Possesses at least one professional certification relevant to the technical service provided. Maintain a certification relevant to the product being deployed and/or maintained.
• 5-7 years industry experience developing AI/ML solutions and a passion for using data science to solve complex problems.
• 5-7 years industry experience in SQL, Python, R, Scala, Java, or similar language
• 5-7 years industry experience in Cloud data analytics (AWS, Azure, or GCP) with tools such as AWS SageMaker, Azure Synapse, etc.
• Deep commitment to responsible, ethical AI and a comprehensive awareness of AI’s social, civil, privacy, and legal implications.  Awareness of and experience applying AI risk management frameworks a plus.
• Experience translating technical concepts to a variety of technical and non-technical audiences.
• Expertise in conducting data science in sensitive contexts and applying best technical practices in data privacy, anonymization, and data protection.
• Expertise applying best practices to maintain data integrity (working with both structured and unstructured data).
• Demonstrated experience with TensorFlow, Keras, Torch, or other Deep Learning tools and frameworks.
• Experience conducting bias testing and implementing strategies to mitigate bias; experience measuring AI fairness a plus.
• Experience working with LLMs and generative AI models; experience automating the anonymization of unstructured data a plus. 
• Experience with semantic search engines such as AWS Kendra, Azure Cognitive Search, or similar tool is a plus.
• Data visualization experience in Tableau, Power BI, D3, ArcGIS, or similar is a plus.

About steampunk

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