Overview
On Site
Full Time
Skills
Analytical Skill
Algorithms
Attention To Detail
System Integration
Leadership
Generative Artificial Intelligence (AI)
Artificial Intelligence
R
Machine Learning (ML)
TensorFlow
PyTorch
Logistic Regression
Python
Statistics
scikit-learn
Data Manipulation
SQL
Pandas
NumPy
Evaluation
Communication
Presentations
Data Visualization
Tableau
Microsoft Power BI
Agile
ADO
Job Details
This posting is for a contract assignment and is not a full-time employment offer with Boeing. Candidates selected for roles will be employed as contract workers through a Boeing approved 3rd party for the duration of the specified project.
Leads cross-functional teams to determine, define and deploy complex predictive/prescriptive analytic solutions to meet business objectives. Evaluates business objectives and determines stakeholder needs. Chooses best fit methods, defines algorithms, validates and deploys models to achieve business results. Performs necessary data preparation and enhancements to models.
Position Overview:
Client is looking for a highly experienced and detail-oriented Airplane Systems Integration - Data Scientist with a minimum 5 years of hands-on experience in AI/ML development. The ideal candidate will be responsible for building, optimizing, and scaling generative AI models that drive operational efficiencies and data driven leadership decisions. A strong background in Python development and familiarity with generative AI technologies is required.
Position Responsibilities:
Analyzing large datasets to identify trends and patterns.
Developing and implementing machine learning models.
Creating data visualizations and reports.
Collaborating with cross-functional teams to deliver data-driven solutions
Basic Qualifications (Required Skills/Experience):
A bachelor's degree or higher is REQUIRED.
Minimum of 5 years of hands-on experience in AI/ML development.
Proficiency in Python and R, with experience in machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
Experience with Python APIs
Linear and Logistic regression models in Python with stats models, logit, and sklearn libraries.
Proficiency in data manipulation and analysis tools (e.g., SQL, Pandas, NumPy).
Experience with data preprocessing, feature engineering, and model evaluation in production environments.
Preferred Qualifications (Desired Skills/Experience):
Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders.
Experience with data visualization tools (e.g., Tableau, Power BI).
Experience with Agile (ADO, JIRU, etc)
Leads cross-functional teams to determine, define and deploy complex predictive/prescriptive analytic solutions to meet business objectives. Evaluates business objectives and determines stakeholder needs. Chooses best fit methods, defines algorithms, validates and deploys models to achieve business results. Performs necessary data preparation and enhancements to models.
Position Overview:
Client is looking for a highly experienced and detail-oriented Airplane Systems Integration - Data Scientist with a minimum 5 years of hands-on experience in AI/ML development. The ideal candidate will be responsible for building, optimizing, and scaling generative AI models that drive operational efficiencies and data driven leadership decisions. A strong background in Python development and familiarity with generative AI technologies is required.
Position Responsibilities:
Analyzing large datasets to identify trends and patterns.
Developing and implementing machine learning models.
Creating data visualizations and reports.
Collaborating with cross-functional teams to deliver data-driven solutions
Basic Qualifications (Required Skills/Experience):
A bachelor's degree or higher is REQUIRED.
Minimum of 5 years of hands-on experience in AI/ML development.
Proficiency in Python and R, with experience in machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
Experience with Python APIs
Linear and Logistic regression models in Python with stats models, logit, and sklearn libraries.
Proficiency in data manipulation and analysis tools (e.g., SQL, Pandas, NumPy).
Experience with data preprocessing, feature engineering, and model evaluation in production environments.
Preferred Qualifications (Desired Skills/Experience):
Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders.
Experience with data visualization tools (e.g., Tableau, Power BI).
Experience with Agile (ADO, JIRU, etc)
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.