We are seeking a highly skilled Data Scientist to join our client's team. The successful candidate is a self-starter who can responsibly and independently analyze data, then collaborate with the Federal Government end-client leadership at all levels to present relevant information. This direct-hire role is located in Woodlawn, MD, and requires onsite presence 2 days per week. Candidates must live within 2 hours of the client-site. Per our client contract, candidates must be U.S. Citizens or Gree... more details
We are seeking a highly skilled Data Scientist to join our client’s team. The successful candidate is a self-starter who can responsibly and independently analyze data, then collaborate with the Federal Government end-client leadership at all levels to present relevant information. This direct-hire role is located in Woodlawn, MD, and requires onsite presence 2 days per week. Candidates must live within 2 hours of the client-site.
Per our client contract, candidates must be U.S. Citizens or Green Card Holders, eligible to obtain a Public Trust clearance. The candidate must be willing to wait for the 4-to-6-week clearance process.
Responsibilities
Provide support to the agency in 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
Qualifications
Bachelor’s Degree AND 8 years of Data Science experience
13 years of overall professional 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.
Demonstrated an understanding of challenges in building production-worthy AI systems.
Strong knowledge of modern JavaScript and experience with ES6+ features
Knowledge of the legal and regulatory landscape surrounding AI, including privacy, ethics, liability, and intellectual property laws.
Demonstrating an understanding of challenges in building production-worthy AI systems.
Proven experiences in AI ethics, governance, and compliance is a plus
Training and/or Certification in AI ethics or related fields is a plus.?
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