PhD Data Scientist

Accenture

Washington, DC, United States

about 2 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

chronicle.com

Tech stack

Amazon Web Services Microsoft Azure Cloud Computing Cyber Security Data Visualization Fraud Prevention and Detection Python (Programming Language) Power BI Standard Sql Tableau (Software) Google Cloud Large Language Models

+4 more

Generative AI Pandas Pyspark Databricks

Requirements

Experience building NLP, LLM, or using GenAI tools (e.g. LoRA, LangChain, RAG, LLM Fine Tuning or PEFT)
Proficiency in Python (pandas, PySpark) and SQL
Hands-on experience with data visualization tools like Power BI, Tableau, or Databricks
Strong quantitative and analytic abilities to analyze and validate data
Understanding of analytical model development and data-driven decision-making
Must be a US Citizen

Bonus points if you have:

Experience designing and implementing a custom Generative AI solution
Utilized PhD training in rigorous research methodologies to analyze and tackle challenging client problems from a distinctive and informed perspective
Experience working in a cloud environment (Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP))
Experience working with federal clients
Experience in a specific domain like Cybersecurity or Fraud Detection
Active Clearance

Benefits & conditions

Competitive pay with 401(k) match, strong health coverage, family-focused benefits, and paid time-off programs.

About the company

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.

Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.

Join us to drive positive, lasting change that moves missions and the government forward!

The Work:

Analyze & Innovate: Uncover trends and anomalies, turning raw data into strategic intelligence.
Model & Predict: Develop and maintain models using machine learning, AI, and statistical techniques.
Code & Transform: Use Python (pandas, PySpark) and SQL for data parsing, ETL, and complex analysis.
Visualize & Communicate: Create interactive dashboards and visualizations with Power BI, Tableau, or Databricks.
Collaborate & Build: Partner with Data Engineers to define data requirements and support development.
Explore & Experiment: Research and test new tools to solve challenging problems.