Lead Data Scientist Veterans Affair

OneGlobe

Job Location:

Washington, DC - USA

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Leads data science efforts working closely with clients data developers to understand mission and data.
Creates data pipelines and flows to clean and transform data for use in data models and applications.
Develops algorithms leveraging modern data science technologies including reinforcement learning systems machine learning and more.
Deep expertise in causal inference high-dimensional regression time-series analysis and forecasting
Strong proficiency in Python or R (PyData stack: Pandas NumPy SciPy Statsmodels Scikit-learn)
Demonstrated ability to communicate statistical findings clearly to non-technical executive audiences
Lead development of advanced AI/ML systems using techniques such as deep learning representation learning time-series modeling survival analysis and probabilistic modeling to solve complex healthcare problems or analyze fraud
Ability to analyze and profile varied related and unrelated data sets.
Manage technology projects or lead technology solutioning.
Provides highly technical and specialized guidance and solutions to complex IT problems; performs elaborate analyses and studies.
Evaluates recommends and executes new technologies and updates existing infrastructure to ensure optimal performance and efficiency.
Develops IT strategies to ensure the systems meet existing and future requirements based on needs and regulations.
Works in a variety of environments and has excellent verbal and non-verbal communication skills.

Requirements

Must be a U.S. Citizen to obtain a security clearance.
BS with 10 years of experience in machine learning artificial intelligence or applied data science with 7 years of designing and deploying production machine learning systems.
8 years of experience in Python-based machine learning development using frameworks such as PyTorch TensorFlow or equivalent along with solid SQL skills.
5 years of experience deploying production ML systems including model serving monitoring ML lifecycle management and collaboration with engineering teams.
Experience configuring and working in Azure environments to execute data science activities including data preparation analysis and model development training and deployment.
Experience building and integrating the at the application and database level.
At least 2 years of theoretical and practical background in statistical analysis machine learning predictive modeling and/or optimization.
Excellent verbal and written communications skills along with the ability to present technical data and approaches to both technical and non-technical audiences.
Ability to work efficiently with a geographically distributed team using virtual collaboration tools.

Required Experience:

Leads data science efforts working closely with clients data developers to understand mission and data.Creates data pipelines and flows to clean and transform data for use in data models and applications.Develops algorithms leveraging modern data science technologies including reinforcement learning...

Leads data science efforts working closely with clients data developers to understand mission and data.
Creates data pipelines and flows to clean and transform data for use in data models and applications.
Develops algorithms leveraging modern data science technologies including reinforcement learning systems machine learning and more.
Deep expertise in causal inference high-dimensional regression time-series analysis and forecasting
Strong proficiency in Python or R (PyData stack: Pandas NumPy SciPy Statsmodels Scikit-learn)
Demonstrated ability to communicate statistical findings clearly to non-technical executive audiences
Lead development of advanced AI/ML systems using techniques such as deep learning representation learning time-series modeling survival analysis and probabilistic modeling to solve complex healthcare problems or analyze fraud
Ability to analyze and profile varied related and unrelated data sets.
Manage technology projects or lead technology solutioning.
Provides highly technical and specialized guidance and solutions to complex IT problems; performs elaborate analyses and studies.
Evaluates recommends and executes new technologies and updates existing infrastructure to ensure optimal performance and efficiency.
Develops IT strategies to ensure the systems meet existing and future requirements based on needs and regulations.
Works in a variety of environments and has excellent verbal and non-verbal communication skills.

Requirements

Must be a U.S. Citizen to obtain a security clearance.
BS with 10 years of experience in machine learning artificial intelligence or applied data science with 7 years of designing and deploying production machine learning systems.
8 years of experience in Python-based machine learning development using frameworks such as PyTorch TensorFlow or equivalent along with solid SQL skills.
5 years of experience deploying production ML systems including model serving monitoring ML lifecycle management and collaboration with engineering teams.
Experience configuring and working in Azure environments to execute data science activities including data preparation analysis and model development training and deployment.
Experience building and integrating the at the application and database level.
At least 2 years of theoretical and practical background in statistical analysis machine learning predictive modeling and/or optimization.
Excellent verbal and written communications skills along with the ability to present technical data and approaches to both technical and non-technical audiences.
Ability to work efficiently with a geographically distributed team using virtual collaboration tools.

Required Experience: