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Senior Data Scientist
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Leidos Baltimore, United StatesDescription · Leidos is seeking a Senior Data Scientist to support the Social Security Administration program in implementing bias assessment and mitigation of the agency's AI use cases in response to the Presidential Executive Orders on AI. The primary goal is to perform additi ...
Data Scientist - Govans, United States - Donato Tech
Description
Job Title:
Data Scientist
Location:
Baltimore, MD (Hybrid with 2 days onsite in a Week)
Duration:
Long Term
Selected candidate must
*
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
