Senior Data Scientist - Analytics and Insights Engineer III

Deloitte•Washington, DC

1d•$113,000 - $188,400•Onsite

About The Position

Our Deloitte AI & Engineering team transforms technology platforms, drives innovation, and helps 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.

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
Bachelor’s degree
Ability to obtain and maintain the required clearance for this role
5+ years of professional experience applying data science, statistics, or mathematics using Python, R, or another analytical or statistical programming language
4+ years of experience developing and training custom AI/ML models using supervised and unsupervised learning, including natural language processing (NLP) for unstructured data
2+ years of experience manipulating unstructured data from multiple platforms and using Tableau, Power BI, Qlik, or Elastic X-Pack for data visualization; experience using Structured Query Language (SQL) for database administration or SQL programming
Ability to travel 10-15%, 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 with Amazon Web Services (AWS) big data and analytics services, including Amazon SageMaker, Amazon Athena, Amazon Aurora, Snowflake, and cloud-based data pipelines
Experience applying Section 508 or Web Content Accessibility Guidelines (WCAG) standards to dashboards and data visualizations
Experience using dbt, Apache Airflow, or Dagster for data transformation and pipeline orchestration
Experience applying AI/ML methods in litigation-support or other legally sensitive environments
Experience building data visualizations and presenting quantitative concepts to nontechnical audiences
Experience independently reviewing statistical or machine-learning analyses, including assumptions, methodology, and interpretation

Responsibilities

Integrate large-scale client data and conduct statistical analyses supporting investigative, litigation, and claims-management needs
Design and implement artificial intelligence and machine learning (AI/ML) solutions, including supervised and unsupervised models, for anomaly detection, predictive analytics, and investigative insights across healthcare, financial, and mass tort data
Manage large or unstructured data in Amazon Web Services (AWS) GovCloud using data lakes, serverless computing, AWS Lambda, and extract, transform, and load (ETL) practices
Develop automated, reproducible, and auditable workflows for data collection, processing, statistical analysis, and reporting; identify automation opportunities that improve efficiency and accuracy
Train client personnel on dashboards, analytical tools, and AI-assisted workflows; provide reference materials and ongoing support to promote responsible AI use
Independently review statistical estimates and machine-learning evaluations performed by team members, including population selection, assumptions, calculation logic, and interpretation