Job Description

Responsibilities

• 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

Requirements

• Work arrangement : Remote Clearance : Public Trust (must be a US Citizen to meet contract requirements) 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
• Requirements Requirements : Strong knowledge of statistical analysis, machine learning algorithms, and data modeling techniques
• Proficiency in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn)
• Experience with data visualization tools (e.g., Tableau, matplotlib, ggplot) to effectively communicate insights
• Strong problem-solving skills, critical thinking, and the ability to work on complex projects independently
• Excellent communication and presentation skills to convey complex concepts to both technical and non-technical stakeholders
• Education/Experience : Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or related disciplines
• (4 years' experience is the equivalent to a bachelor’s degree, 8 years is equivalent to a Master’s) EEO Statement ASRC Federal and its Subsidiaries are Equal Opportunity / Affirmative Action employers