AI Data Scientist Security Clearance

Position: AI Data Scientist with Security Clearance
AI Data Scientist:
At B&A, we foster and embrace a distinct set of values that we live by and instill in all aspects of our organization: dedication, commitment, partnership, trust, and recognition. We have incorporated these values into successful delivery for our customers since 1988. B&A believes in ensuring its employees feel deeply connected to B&A, recognizing successes and hard work, and providing continuous opportunities to learn and grow.

Our people are entrepreneurial thinkers that combine mindset, vision, and experience to drive value – not only to us as an organization, but to the clients we support. We promote a collaborative culture with our clients, and with each other, as one team working towards a common vision. We’d love for you to join our team!

Job Summary:

B&A is looking for an AI Data Scientist to join a contract with a federal government client in support of an important mission. This role serves as a key Data Scientist on our work for national digital outreach programs for a large federal government agency. The ideal candidate has a combination of technical, operational, and interpersonal skills, with demonstrated expertise in collaborating with cross-functional teams to collect and interpret complex datasets.

Candidates must have a desire to be part of a data-driven, customer-focused, fast-paced team that loves the mission of improving the citizen's experience and providing excellent service to government customers. Responsibilities:
* Design and implement machine learning models, Gen-AI (LLM) and NLP models, and statistical methods to solve complex business challenges.

* Build scalable solutions for predictive modeling, optimization, and decision support.

* Analyze large and complex data sets to uncover trends, generate actionable insights, and support data-driven strategies.

* Communicate findings effectively to both technical and non-technical audiences.

* Collaborate with cross-functional teams (internally, with partners and with customers) to collect and interpret data.

* Explore and apply cutting-edge AI/ML techniques to enhance analytical capabilities and deliver measurable impact.

* Design and produce compelling data visualizations and interactive dashboards.

* Transform complex findings into intuitive visual reports and dashboards to facilitate understanding for non-technical audiences.

* Stay updated with the latest trends in data visualization and integrate innovative techniques into the workflow.

* Work closely with the distributed teams and stakeholders to ensure the data infrastructure decisions factor the interests and data goals of the company and its partners.

* Advocate for data science and analytics principles/best-practices in design/requirements discussions with customers

* Engage with stakeholders to understand their needs and tailor visualizations accordingly.

Education and Experience:

* Minimum 5+ years of experience in Data Science.

* Bachelor's degree in Computer Science, Mathematics, Statistics or Information Systems required. Master's degree is preferred

Required Skills:

* Working knowledge and understanding of supervised and unsupervised learning algorithms such as regression, classification, clustering, and dimensionality reduction.

* Experience with Large and Small Language models, Vision models, Prompt and Context engineering.

* Experience with advanced techniques like deep learning, reinforcement learning, and natural language processing (NLP).

* Experience with ML libraries and frameworks (e.g., Tensor Flow, PyTorch, Scikit-learn, XGBoost).

* Strong foundation in statistical methods, hypothesis testing, and experimental design.

* Proficiency with Data Visualization tools like Tableau, Quick Sight, Power BI, Qlik View, or D3.js.

* Strong analytical skills with the ability to analyze complex data and produce actionable insights.

* Experience with AWS data and analytics technologies including EMR, Redshift, Sage Maker, Comprehend, Quick Sight, Glue, and S3

* Proficiency in Python and/or R for data analysis and ML development.

* Proficiency in SQL for data extraction and manipulation.
Security Clearance:
* Active TS or CBP BI
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