Data Scientist

• **This is a hybrid remote position, employees are required to work onsite once a week in Rosslyn, VA. Please include your residential city and state in your resume.**
• **Candidates must be U.S. Citizens and able to obtain a Public Trust clearance. Applicants must also have resided in the U.S. for the past five years and must not have been outside the U.S. for a combined total of six months or more within that period.**

**Disclaimer:**

• **No third\-party agencies will be considered. Please do not solicit our team.**
• **Due to the nature of the position supporting a federal or government contract, candidates must be U.S. citizens and eligible to work on a W2 basis.**

**Job Responsibilities**

• Prepare, clean, and analyze structured and unstructured data, and develop scalable models using data science and artificial intelligence methods.
• Build visualizations and analytic products that support audits, investigations, and research.
• Design and implement statistical, mathematical, and econometric solutions.
• Lead work in areas such as natural language processing, predictive analytics, machine learning model development, and model lifecycle support.
• Translate complex technical findings into clear narratives and create documentation for requirements, test plans, user guidance, and training materials.
• Support project teams by identifying data needs, advising on data quality and access, and developing effective communication with stakeholders.
• Create and maintain dashboards, datasets, summary tables, and analytic tools using relational databases, data lakes, and other data environments.
• Provide actionable intelligence through independent research, extraction, evaluation, and visualization of relevant data.
• Collaborate with external agencies and stay current on analytic tools and techniques.
• Troubleshoot existing solutions and assist in developing programming and visualization products.
• Support data security, system continuity, design reviews, and compatibility assessments.
• Apply ETL strategies, pattern recognition, and analytical tools to develop and refine existing products.
• Guide coworkers on data access, quality, storage needs, and analytic tools, and contribute to training efforts.

**Required Skills**

• Degree in computer science, information technology, data analytics, or a related field.
• Five or more years of experience writing code in languages such as SQL, Python, R, or JavaScript.
• Three or more years of experience with machine learning, natural language processing, robotics process automation, artificial intelligence, and advanced statistical methods.
• Six months or more of experience with AWS or Azure services including Databricks, Data Factory, and Data Lake.
• Expert proficiency with data science tools, programming languages, IDEs, analytics platforms, open source solutions, commercial tools, and hardware\-based capabilities.
• Strong experience creating datasets, models, dashboards, visualizations, and interactive reports across business intelligence applications.
• Knowledge of business intelligence tools such as Power BI, Power Apps, Power Automate, DAX, and data Mash up methods.
• Strong understanding of relational databases, data warehousing, data governance, and related disciplines.
• Experience with ETL strategies, pattern recognition, ODBC connections, and external data sources.
• Ability to engineer data analytic solutions from prototype through full implementation.
• Proven history applying analytical methods to business problems with measurable impact.
• Strong technical writing and documentation skills and ability to work effectively in a team.
• Understanding of the software development lifecycle including analysis, design, development, testing, debugging, and documentation.

**Desired Skills**

• Experience with Python, Power BI, Databricks, and similar tools.
• Experience in law enforcement or audit environments.
• Experience with Azure and cloud computing platforms.
• Experience with relational databases and SQL.
• Professional certifications in data science or data analytics.

*ManpowerGroup is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other protected characteristic. *