Job Title:
Data Scientist
Location:
Baltimore, MD (Hybrid with 2 days onsite in a Week)
Duration:
Long Term
Selected candidate must
- Selected candidate must reside within two (2) hours of SSA Headquarters in Woodlawn, MD
Description Of Work
- Experience with AI ethics, frameworks, and technologies
- Provide support to the agency is creating a bias mitigation strategy and examine the Agency's race and ethnicity (R/E)
- data for consistency and completeness.
- Assess each of the identified legacy AI-systems for bias and develop the appropriate mitigation approach.
- Collaborate with the customer to remediate or rebuild the model for compliance.
- Compare the legacy and bias-mitigated models for performance, accuracy, and achievement of business objective.
- Refine and adjust the model until sufficient bias mitigation has been achieved and parity or acceptable performance with
- the legacy model has been achieved.
- Document findings and methods used, publish code to the repository, and prepare a standard operating procedure for
- future use cases.
- Present and communicate the intent of AI government policies and Executive Orders.
- Self-starter who can responsibly and independently advance work
- Work with SSA leadership at all levels and present relevant information.
- All other duties as assigned or directed.
Basic Qualifications: Minimum knowledge, skills, abilities needed.
- Bachelor degree in Statistics, Applied Mathematics, Computer Science, or Information Science
- Minimum 8 Year (s) of Data Scientist experience
- Experience with IBM AI Fairness 360 (AIF360) – preference; Machine Learning (ML); Natural Language Processing (NLP);
- spaCy and NLTK, as well as language models like BERT and RoBERTa, are desired.
- Knowledge of TensorFlow, PyTorch, scikit-learn, NLTK, Azure ML (optional), Amazon Web Services EC2.
- Proven experience analyzing data, including data quality assessment, data governance, and data protection.
- Familiarity with ethical considerations related to AI, such as fairness, transparency, accountability, and bias mitigation.
- Experience with extracting insights from large datasets to determine bias.
- Excellent analytical skills to identify potential risks and propose effective solutions.
- Clear communication skills to convey complex ethical and technical concepts to various partners.
- Ability to collaborate with cross-functional teams.
- Providing problem solving skills, proven communication in written and verbal formats to various audiences to include
- executive leadership.
- Demonstrated an understanding of challenges in building production-worthy AI systems.
- Proactively seeking guidance, clarification and feedback.
- Strong knowledge of modern JavaScript and experience with ES6+ features, such as classes, arrow Demonstrating
- intimate understanding of privacy, data, and model governance activities including AI risks, oversight mechanisms,
- documentation, development processes.
- Knowledge of the legal and regulatory landscape surrounding AI, including privacy, ethics, liability, and intellectual
- property laws.
- Proven experience with the full system development lifecycle.
- Demonstrating an understanding of challenges in building production-worthy AI systems.
- Displaying an ability to manage senior stakeholders and client needs, including: building relationships with clients,
- approaching client in an organized manner, and delivering clear requests for information, facilitating alignment across
- multiple stakeholders;
- Displaying ability to research and analyze pertinent to the customer and technical matters.
- Demonstrating ability to contribute to a positive working environment by building relationships with team members;
- Collaborating with teams comprised of technical, data science, and business specialists.
- Collaborating with senior leaders and coordinating roll-out and change management for new processes.
- Must be able to obtain and maintain a US Public Trust clearance.
Preferred Qualifications: Candidates with these skills will be given preferential consideration.
- Master Degree, Advanced Degree in Computer Science, other quantitative discipline.
- Proven experiences in AI ethics, governance, and compliance is a plus.
Training and/or Certification in AI ethics or related fields is a plus