AI and Data Science Engineer III

Deloitte•Arlington, VA

8d•$131,000 - $218,300•Onsite

About The Position

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients’ success. You’ll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. As an AI and Data Science Engineer III on the AI & Data team, you will be responsible for supporting the design, development, and deployment of data science and analytics solutions for government and public sector clients. You will perform entity resolution across datasets by identifying, matching, and consolidating records that refer to the same real-world entities. You will also train, tune, and validate supervised and unsupervised machine learning models that produce case-level risk scores from structured inputs, and engineer and analyze features from structured and unstructured data to support model performance and downstream risk analysis. Collaboration with data engineers, analysts, and project teams to deliver sprint commitments, resolve blockers, and support client-facing deliverables is also a key part of this role.

Requirements

Ability to work independently and collaborate as part of a team
Effective written and verbal communication skills
Meticulous attention to detail and quality of work product
Ability to build and sustain professional relationships
Ability to lead projects or workstreams
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
Strong interpersonal skills and professional demeanor
Ability to meet deadlines
Ability to provide clear guidance to others
2+ years of applied data science experience
4+ years of experience using Python and Structured Query Language (SQL) with structured and unstructured data
4+ years of experience performing entity resolution or record linkage using deterministic and probabilistic matching techniques
4+ years of experience training, tuning, and validating supervised and unsupervised machine learning models that generate risk or propensity scores from structured inputs
Current Top Secret (TS) clearance
Ability to travel 0-25%, on average, based on the work you do and the clients and industries/sectors you serve.
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Nice To Haves

Experience engineering features from resolved entity, case, or transactional data
Experience selecting algorithms for classification, regression, or anomaly detection use cases
Experience evaluating model performance against defined metrics and acceptance criteria
Experience working with case-level risk detection, fraud detection, or investigative analytics use cases
Experience working in an Agile delivery environment, including sprint-based delivery and backlog refinement
Experience communicating analytical findings, model behavior, and technical risks to technical and client stakeholders

Responsibilities

Supporting the design, development, and deployment of data science and analytics solutions for government and public sector clients
Performing entity resolution across datasets by identifying, matching, and consolidating records that refer to the same real-world entities
Training, tuning, and validating supervised and unsupervised machine learning models that produce case-level risk scores from structured inputs
Engineering and analyzing features from structured and unstructured data to support model performance and downstream risk analysis
Collaborating with data engineers, analysts, and project teams to deliver sprint commitments, resolve blockers, and support client-facing deliverables