Data Scientist

Overview

Hybrid
$60 - $70
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)
Able to Provide Sponsorship

Skills

AI
JavaScript
Data Scientist
NLTK
NLP
PyTorch
Machine Learning
spaCy
data quality assessment

Job Details

Position ID : EAIS-1910 Position Title : Data Scientist Location: Woodlawn, MD Need Local candidates to Woodlawn, MD

Selected candidate must reside within two (2) hours of SSA Headquarters in Woodlawn, MD. Selected candidate must be willing to work on-site at least 3 days a week. Key Required Skills: Experience with AI ethics, frameworks, and technologies Position Description:

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.
Skills Requirements:
FOUNDATION FOR SUCCESS (Basic Qualifications)
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.
Must be able to obtain and maintain a Public Trust. Contract requirement.

FACTORS TO HELP YOU SHINE (Required Skills)
These skills will help you succeed in this position:
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