ASRC Federal is seeking a Data Scientist to support the DEA's Diversion Division. 

 

Work arrangement: Remote

Clearance: Public Trust (must be a US Citizen) and successfully complete a government background investigation. 

 

Summary:  The ideal candidate is a highly skilled professional who uses their expertise in data analysis, statistical modeling, and machine learning to extract insights and solve complex problems.

 

Responsibilities: 

Data Analysis and Modeling:

Collect, clean, and preprocess large datasets from various sources. Apply statistical techniques and data mining algorithms to analyze data and identify patterns, trends, and relationships. Develop and implement predictive models, machine learning algorithms, and statistical models to solve business problems and generate actionable insights.

Machine Learning and AI:

Design and develop machine learning models and algorithms to solve specific business challenges. Train, validate, and optimize models using appropriate techniques such as cross-validation and hyperparameter tuning. Deploy models into production environments and monitor their performance.

Data Visualization and Reporting:

Communicate complex data analysis results and insights to non-technical stakeholders through clear and visually appealing data visualizations, reports, and presentations. Collaborate with cross-functional teams to understand their data needs and provide data-driven recommendations.

Data Exploration and Feature Engineering:

Conduct exploratory data analysis to understand the characteristics and quality of the data. Identify and engineer relevant features from raw data to improve model performance and accuracy.

Collaboration and Communication:

Collaborate with data engineers, software developers, and domain experts to gather requirements, define data needs, and implement data-driven solutions. Communicate findings, methodologies, and insights to both technical and non-technical audiences effectively.