Data Scientist at Arlington Heights Chrysler Jeep Dodge Ram

Herndon, Virginia, United States -

Full Time

Start Date

Immediate

Expiry Date

05 Jul, 26

Salary

0.0

Posted On

06 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Artificial Intelligence, Python, Statistical Analysis, TensorFlow, PyTorch, Scikit-learn, Tableau, Power BI, Data Visualization, Predictive Analytics, Cloud Computing, AWS, Azure, Agile

Industry

IT Services and IT Consulting

Description

KDA Consulting Inc. is seeking a highly skilled Data Scientist with AI/ML expertise to support mission-critical programs within the Intelligence Community (IC). This role will focus on leveraging advanced analytics, machine learning, and artificial intelligence to extract insights from large, complex datasets and support data-driven decision-making. The ideal candidate will have a strong foundation in statistical analysis, machine learning model development, and data visualization, along with the ability to translate complex findings into actionable insights for both technical and non-technical stakeholders. Machine Learning & AI Development Design, develop, and deploy machine learning models to solve complex mission problems Build predictive and prescriptive analytics solutions to support operational and strategic decision-making Evaluate model performance and continuously improve algorithms through testing and tuning Data Analysis & Exploration Analyze large, structured and unstructured datasets to identify trends, patterns, and anomalies Perform data cleansing, feature engineering, and transformation to prepare data for modeling Apply statistical techniques to validate hypotheses and support analytical findings Data Visualization & Communication Develop dashboards, visualizations, and reports using tools such as Tableau, Power BI, or Python visualization libraries Communicate insights and recommendations clearly to both technical teams and senior leadership Translate complex analytical results into actionable business or mission outcomes Model Deployment & Integration Collaborate with data engineers and software developers to operationalize models into production environments Integrate machine learning solutions into enterprise systems and workflows Support cloud-based model deployment in environments such as AWS or Azure Collaboration & Agile Delivery Work closely with cross-functional teams including engineers, analysts, and mission stakeholders Participate in Agile processes including sprint planning, stand-ups, and retrospectives Contribute to continuous improvement of data science methodologies and processes Active TS/SCI W/ Polygraph Required. Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (or equivalent experience) Strong experience in data science, machine learning, and statistical analysis Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn Experience analyzing and working with large-scale datasets Strong understanding of statistical modeling, probability, and data analysis techniques Experience with data visualization tools and communicating insights effectively Strong problem-solving skills and ability to work in complex, mission-driven environments

Responsibilities

The Data Scientist will design, develop, and deploy machine learning models to solve complex mission problems for the Intelligence Community. They will also analyze large datasets to extract actionable insights and collaborate with cross-functional teams to integrate solutions into production environments.