Data Scientist

KDA Consulting Inc; Chantilly; Sur place; EUR 50 000 - 75 000; Plein temps

Résumé du poste

A leading consulting firm in France is seeking a highly skilled Data Scientist with AI/ML expertise. This role focuses on utilizing advanced analytics and machine learning to extract insights from complex datasets and drive data-driven decision-making. The ideal candidate will possess a Bachelor’s degree in a relevant field and have strong skills in statistical analysis, model development, and data visualization, alongside experience with tools like Tableau and cloud environments such as AWS. An active TS/SCI W/ Polygraph is required.

Qualifications

• Active TS/SCI W/ Polygraph required.
• Strong experience in data science, machine learning, and statistical analysis.
• Experience analyzing and working with large-scale datasets.
• Strong understanding of statistical modeling, probability, and data analysis techniques.

Responsabilités

• Design, develop, and deploy machine learning models to solve complex mission problems.
• Analyze large datasets to identify trends, patterns, and anomalies.
• Develop dashboards, visualizations, and reports using relevant tools.
• Collaborate to operationalize models into production environments.

Connaissances

Statistical analysis

Machine learning model development

Data visualization

Python

TensorFlow

PyTorch

Scikit-learn

Collaboration in Agile environments

Formation

Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, or related field

Outils

Tableau

Power BI

AWS

Azure

Description du poste

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