I. DEPARTMENT INFORMATION Job Description Summary: The Biostatistics Center (BSC) is an off-campus research facility of The George Washington University located in Rockville, Maryland. The Biostatistics Center serves as the coordinating center for large scale federally funded multi-center clinical trials and epidemiological studies. The Biostatistics Center is a leader in the statistical coordination of major medical research programs of national and international scope. Visit our website at: . The Biostatistics Center is seeking a regular full-time Sr. Research Scientist to work for a research team serving as the Coordinating Center for Diabetes Prevention Program Outcomes Study. Position will serve as a Data Engineer and Scientist role and leads the design and development for real world data obtained from electronic health records (EHR) and integration with other data sources such as linkages (e.g. administrative claims data, national death index) into a data warehouse for longitudinal cohort studies. Responsible for the curation, cleaning, and transforming raw data into meaningful information for analysis purposes to address study objectives as well as the design and development of metadata engine to make data FAIR. Evaluates alternative standards based data extracts from multiple EHR platforms via FHIR api. Designs and deploys machine learning and other data processing and analytical pipelines to build a strong foundation to manage ontologies for diagnoses, treatments, and lab data as well as extract meaningful data from notes using natural language processing algorithms, and data visualization through dashboards. Coordinates database programming support, enhancement and upgrades to the data warehouse. Plans and executes the technical programming including data extraction routines, leads the data-management and supports the creation of reports, dashboards and statistical analysis pipelines. This position assumes major responsibilities for planning, conducting and supervising research at a level functioning similar to that of an Associate or Full Professor. Using broad familiarity with a variety of the field's concepts, practices, and procedures, this role uses quantitative and qualitative methods to collect, analyze and report data activities. This role relies on extensive experience and judgment to plan and accomplish goals, and performs a variety of tasks to carry out research. This position leads and directs the work of others. This is the highest non-management research position. Essential duties include: -Designs and leads the development of the EHR infrastructure to meet regulatory and privacy compliance and develop interfaces between EHR systems and BSC systems. -Leads the development of a common data model. -Develop documentation, code repository management and reporting routines -Collaborates with Principal Investigators and project managers to determine research studies' technology needs and to formulate approaches to meet them. -Develops automated statistical reporting pipelines to monitor study progress and results for use of statisticians and project managers. -Oversees the collaboration between coordinating center and other research units to include data extracts and processing clinic reports, and quality control, as well as the ad hoc programming requirements and collaboration with research staff in tasks requiring programming. -Communicates with the Biostatistics Center Systems Support staff and Administrative staff relating to systems and administrative details as needed. Participates in general staff meetings or study-specific meetings as required. -Performs other work-related duties as requested. The omission of specific duties does not preclude the supervisor from assigning duties that are logically related to the position. Minimum Qualifications: Qualified candidates will hold a Master's degree plus 8 years of experience or a PhD plus 5 years of experience in a related discipline, to include two years of research and/or college level teaching in a field basic to the work to be performed. Experience must include planning, conducting and reporting as primary responsibilities. Degree must be conferred by the start date of the position. Additional Required Licenses/Certifications/Posting Specific Minimum Qualifications: Preferred Qualifications: - MS or Ph.D. in Computer Science, Computer Engineering or related fields. - 5 years of increasingly responsible Master's-level experience in software development and customization practices, strategic software planning, and supervision of software projects and staff, and management of software systems. - The candidate ideally has good communication skills, good working knowledge of SQL and of python, R or SAS. - Experience with common data models and/or electronic health records. - Strong managerial and collaborative experience which includes supervising, planning, developing, writing, reporting and presenting to end users. - In-depth knowledge of and hands-on experience in current software, database and web-based technologies, including object-oriented framework-based systems. - Excellent verbal and written English communication skills. - Supervisory experience and solid experience in leading and developer teams. - A degree of creativity, initiative and independent thought expected. - Experience in and knowledge of clinical research data systems. Typical Hiring Range Commensurate with Experience. II. POSITION INFORMATION Campus Location: Rockville, Maryland College/School/Department: Biostats Family Research and Labs Sub-Family Field Research Stream Individual Contributor Level Level 5 Full-Time/Part-Time: Full time -> FTE 1.00 Hours Per Week: 35 Work Schedule: Monday through Friday, 9am to 5pm Will this job require the employee to work on site? No Employee Onsite Status Hybrid Telework: Yes Required Background Check Criminal History Screening, Education/Degree/Certifications Verification, Social Security Number Trace, and Sex Offender Registry Search Special Instructions to Applicants: Employer will not sponsor for employment Visa status Internal Applicants Only? No Posting Number: R001806 Job Open Date: 12/23/2022 Job Close Date: If temporary, grant funded or limited term appointment, position funded until: Background Screening Successful Completion of a Background Screening will be required as a condition of hire. EEO Statement: The university is an Equal Employment Opportunity/Affirmative Action employer that does not unlawfully discriminate in any of its programs or activities on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, or on any other basis prohibited by applicable law.
04/24/2024
Full time
I. DEPARTMENT INFORMATION Job Description Summary: The Biostatistics Center (BSC) is an off-campus research facility of The George Washington University located in Rockville, Maryland. The Biostatistics Center serves as the coordinating center for large scale federally funded multi-center clinical trials and epidemiological studies. The Biostatistics Center is a leader in the statistical coordination of major medical research programs of national and international scope. Visit our website at: . The Biostatistics Center is seeking a regular full-time Sr. Research Scientist to work for a research team serving as the Coordinating Center for Diabetes Prevention Program Outcomes Study. Position will serve as a Data Engineer and Scientist role and leads the design and development for real world data obtained from electronic health records (EHR) and integration with other data sources such as linkages (e.g. administrative claims data, national death index) into a data warehouse for longitudinal cohort studies. Responsible for the curation, cleaning, and transforming raw data into meaningful information for analysis purposes to address study objectives as well as the design and development of metadata engine to make data FAIR. Evaluates alternative standards based data extracts from multiple EHR platforms via FHIR api. Designs and deploys machine learning and other data processing and analytical pipelines to build a strong foundation to manage ontologies for diagnoses, treatments, and lab data as well as extract meaningful data from notes using natural language processing algorithms, and data visualization through dashboards. Coordinates database programming support, enhancement and upgrades to the data warehouse. Plans and executes the technical programming including data extraction routines, leads the data-management and supports the creation of reports, dashboards and statistical analysis pipelines. This position assumes major responsibilities for planning, conducting and supervising research at a level functioning similar to that of an Associate or Full Professor. Using broad familiarity with a variety of the field's concepts, practices, and procedures, this role uses quantitative and qualitative methods to collect, analyze and report data activities. This role relies on extensive experience and judgment to plan and accomplish goals, and performs a variety of tasks to carry out research. This position leads and directs the work of others. This is the highest non-management research position. Essential duties include: -Designs and leads the development of the EHR infrastructure to meet regulatory and privacy compliance and develop interfaces between EHR systems and BSC systems. -Leads the development of a common data model. -Develop documentation, code repository management and reporting routines -Collaborates with Principal Investigators and project managers to determine research studies' technology needs and to formulate approaches to meet them. -Develops automated statistical reporting pipelines to monitor study progress and results for use of statisticians and project managers. -Oversees the collaboration between coordinating center and other research units to include data extracts and processing clinic reports, and quality control, as well as the ad hoc programming requirements and collaboration with research staff in tasks requiring programming. -Communicates with the Biostatistics Center Systems Support staff and Administrative staff relating to systems and administrative details as needed. Participates in general staff meetings or study-specific meetings as required. -Performs other work-related duties as requested. The omission of specific duties does not preclude the supervisor from assigning duties that are logically related to the position. Minimum Qualifications: Qualified candidates will hold a Master's degree plus 8 years of experience or a PhD plus 5 years of experience in a related discipline, to include two years of research and/or college level teaching in a field basic to the work to be performed. Experience must include planning, conducting and reporting as primary responsibilities. Degree must be conferred by the start date of the position. Additional Required Licenses/Certifications/Posting Specific Minimum Qualifications: Preferred Qualifications: - MS or Ph.D. in Computer Science, Computer Engineering or related fields. - 5 years of increasingly responsible Master's-level experience in software development and customization practices, strategic software planning, and supervision of software projects and staff, and management of software systems. - The candidate ideally has good communication skills, good working knowledge of SQL and of python, R or SAS. - Experience with common data models and/or electronic health records. - Strong managerial and collaborative experience which includes supervising, planning, developing, writing, reporting and presenting to end users. - In-depth knowledge of and hands-on experience in current software, database and web-based technologies, including object-oriented framework-based systems. - Excellent verbal and written English communication skills. - Supervisory experience and solid experience in leading and developer teams. - A degree of creativity, initiative and independent thought expected. - Experience in and knowledge of clinical research data systems. Typical Hiring Range Commensurate with Experience. II. POSITION INFORMATION Campus Location: Rockville, Maryland College/School/Department: Biostats Family Research and Labs Sub-Family Field Research Stream Individual Contributor Level Level 5 Full-Time/Part-Time: Full time -> FTE 1.00 Hours Per Week: 35 Work Schedule: Monday through Friday, 9am to 5pm Will this job require the employee to work on site? No Employee Onsite Status Hybrid Telework: Yes Required Background Check Criminal History Screening, Education/Degree/Certifications Verification, Social Security Number Trace, and Sex Offender Registry Search Special Instructions to Applicants: Employer will not sponsor for employment Visa status Internal Applicants Only? No Posting Number: R001806 Job Open Date: 12/23/2022 Job Close Date: If temporary, grant funded or limited term appointment, position funded until: Background Screening Successful Completion of a Background Screening will be required as a condition of hire. EEO Statement: The university is an Equal Employment Opportunity/Affirmative Action employer that does not unlawfully discriminate in any of its programs or activities on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, or on any other basis prohibited by applicable law.
Purpose of Job **100% Remote Work Available** USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level. In each of the past five years, we've been a top-40 Fortune 100 Best Companies to Work For , and we've ranked among Victory Media's Top 10 Military Friendly Employers 13 years straight. We embrace a robust veteran workforce and encourage veterans and veteran spouses to apply. Uses advanced techniques that integrate traditional and non-traditional datasets and method to enable analytical solutions; Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; participates in building analytical solutions leveraging internal and external applications to deliver value and create competitive advantage; Translates complex analytical and technical concepts to non-technical employees Job Requirements Partners with other analysts across the organization to fully define business problems and research questions; Supports SME's on cross functional matrixed teams to solve highly complex work critical to the organization. Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions. Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives. Supports Subject Matter Experts (SME's) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation. Works with IT to research architecture for new products, services, and features. Develops algorithms and supporting code such that research efforts are based on the highest quality data. Translates complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions. Minimum Requirements Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field. 6 additional years of related experience beyond the minimum required may be substituted in lieu of a degree. 4 or more years of related experience and accountability for complex tasks and/or projects required. Proficient knowledge of the function/discipline and demonstrated application of knowledge, skills and abilities towards work products required. Proficient level of business acumen in the areas of the business operations, industry practices and emerging trends required. Preferred Requirements Expertise in experimental design, advanced statistical analysis, and modeling to discover key relationships in data and applying that information to predict likely future outcomes; fluent in regression, classification, tree-based models, clustering methods, text mining, and neural networks. Proven ability to enrich (add new information to) data, advise on appropriate course(s) of action to take based on results, summarize complex technical analysis for non-technical executive audiences, succinctly present visualizations of high dimensional data, and explain & justify the results of the analysis conducted. Highly competent at data wrangling and data engineering in SQL and SAS as well as advanced machine learning (ML) techniques using Python; comfortable in cloud computing environments (Azure, GCP, AWS). Hands-on experience developing products that utilize advanced machine learning techniques like deep learning in areas such as computer vision, Natural Language Processing (NLP), sensor data from the Internet of Things (IoT), and recommender systems; along with transitioning those solutions from the development environment into the production environment for full-time use. PhD in Computer Science, Applied Mathematics, Quantitative Economics, Operations Research, Statistics, or related field with coursework in advanced Machine Learning techniques (Natural Language Processing, Deep Neural Networks, etc). Fluent in deep learning frameworks and libraries (TensorFlow, Keras, PyTorch, etc). Highly skilled in handling Big Data (Hadoop, Hive, Spark, Kafka, etc). Experience in reinforcement learning, knowledge graphs and graph databases, Generative Adversarial Networks (GANs), semi-supervised learning, multi-task learning is a plus. Experience in publishing at top ML, computer vision, NLP, or AI conferences and/or contributing to ML/AI-related open source projects and/or converting ML/AI papers into code is a plus. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. At USAA our employees enjoy one of the best benefits package in the business, including a flexible business casual or casual dress environment, comprehensive medical, dental and vision plans, along with wellness and wealth building programs. Additionally, our career path planning and continuing education will assist you with your professional goals. USAA also offers a variety of on-site services and conveniences to help you manage your work and personal life, including seven cafeterias, two company stores and three fitness centers. Relocation assistance is available for this position. Associated topics: artificial intelligence, chip, computer engineering, informatic, java, matlab, photonics, radar, robotics, schematic
10/02/2020
Full time
Purpose of Job **100% Remote Work Available** USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level. In each of the past five years, we've been a top-40 Fortune 100 Best Companies to Work For , and we've ranked among Victory Media's Top 10 Military Friendly Employers 13 years straight. We embrace a robust veteran workforce and encourage veterans and veteran spouses to apply. Uses advanced techniques that integrate traditional and non-traditional datasets and method to enable analytical solutions; Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; participates in building analytical solutions leveraging internal and external applications to deliver value and create competitive advantage; Translates complex analytical and technical concepts to non-technical employees Job Requirements Partners with other analysts across the organization to fully define business problems and research questions; Supports SME's on cross functional matrixed teams to solve highly complex work critical to the organization. Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions. Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives. Supports Subject Matter Experts (SME's) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation. Works with IT to research architecture for new products, services, and features. Develops algorithms and supporting code such that research efforts are based on the highest quality data. Translates complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions. Minimum Requirements Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field. 6 additional years of related experience beyond the minimum required may be substituted in lieu of a degree. 4 or more years of related experience and accountability for complex tasks and/or projects required. Proficient knowledge of the function/discipline and demonstrated application of knowledge, skills and abilities towards work products required. Proficient level of business acumen in the areas of the business operations, industry practices and emerging trends required. Preferred Requirements Expertise in experimental design, advanced statistical analysis, and modeling to discover key relationships in data and applying that information to predict likely future outcomes; fluent in regression, classification, tree-based models, clustering methods, text mining, and neural networks. Proven ability to enrich (add new information to) data, advise on appropriate course(s) of action to take based on results, summarize complex technical analysis for non-technical executive audiences, succinctly present visualizations of high dimensional data, and explain & justify the results of the analysis conducted. Highly competent at data wrangling and data engineering in SQL and SAS as well as advanced machine learning (ML) techniques using Python; comfortable in cloud computing environments (Azure, GCP, AWS). Hands-on experience developing products that utilize advanced machine learning techniques like deep learning in areas such as computer vision, Natural Language Processing (NLP), sensor data from the Internet of Things (IoT), and recommender systems; along with transitioning those solutions from the development environment into the production environment for full-time use. PhD in Computer Science, Applied Mathematics, Quantitative Economics, Operations Research, Statistics, or related field with coursework in advanced Machine Learning techniques (Natural Language Processing, Deep Neural Networks, etc). Fluent in deep learning frameworks and libraries (TensorFlow, Keras, PyTorch, etc). Highly skilled in handling Big Data (Hadoop, Hive, Spark, Kafka, etc). Experience in reinforcement learning, knowledge graphs and graph databases, Generative Adversarial Networks (GANs), semi-supervised learning, multi-task learning is a plus. Experience in publishing at top ML, computer vision, NLP, or AI conferences and/or contributing to ML/AI-related open source projects and/or converting ML/AI papers into code is a plus. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. At USAA our employees enjoy one of the best benefits package in the business, including a flexible business casual or casual dress environment, comprehensive medical, dental and vision plans, along with wellness and wealth building programs. Additionally, our career path planning and continuing education will assist you with your professional goals. USAA also offers a variety of on-site services and conveniences to help you manage your work and personal life, including seven cafeterias, two company stores and three fitness centers. Relocation assistance is available for this position. Associated topics: artificial intelligence, chip, computer engineering, informatic, java, matlab, photonics, radar, robotics, schematic
Purpose of Job **100% Remote Work Available** USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level. In each of the past five years, we've been a top-40 Fortune 100 Best Companies to Work For , and we've ranked among Victory Media's Top 10 Military Friendly Employers 13 years straight. We embrace a robust veteran workforce and encourage veterans and veteran spouses to apply. Uses advanced techniques that integrate traditional and non-traditional datasets and method to enable analytical solutions; Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; participates in building analytical solutions leveraging internal and external applications to deliver value and create competitive advantage; Translates complex analytical and technical concepts to non-technical employees Job Requirements Partners with other analysts across the organization to fully define business problems and research questions; Supports SME's on cross functional matrixed teams to solve highly complex work critical to the organization. Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions. Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives. Supports Subject Matter Experts (SME's) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation. Works with IT to research architecture for new products, services, and features. Develops algorithms and supporting code such that research efforts are based on the highest quality data. Translates complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions. Minimum Requirements Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field. 6 additional years of related experience beyond the minimum required may be substituted in lieu of a degree. 4 or more years of related experience and accountability for complex tasks and/or projects required. Proficient knowledge of the function/discipline and demonstrated application of knowledge, skills and abilities towards work products required. Proficient level of business acumen in the areas of the business operations, industry practices and emerging trends required. Preferred Requirements Expertise in experimental design, advanced statistical analysis, and modeling to discover key relationships in data and applying that information to predict likely future outcomes; fluent in regression, classification, tree-based models, clustering methods, text mining, and neural networks. Proven ability to enrich (add new information to) data, advise on appropriate course(s) of action to take based on results, summarize complex technical analysis for non-technical executive audiences, succinctly present visualizations of high dimensional data, and explain & justify the results of the analysis conducted. Highly competent at data wrangling and data engineering in SQL and SAS as well as advanced machine learning (ML) techniques using Python; comfortable in cloud computing environments (Azure, GCP, AWS). Hands-on experience developing products that utilize advanced machine learning techniques like deep learning in areas such as computer vision, Natural Language Processing (NLP), sensor data from the Internet of Things (IoT), and recommender systems; along with transitioning those solutions from the development environment into the production environment for full-time use. PhD in Computer Science, Applied Mathematics, Quantitative Economics, Operations Research, Statistics, or related field with coursework in advanced Machine Learning techniques (Natural Language Processing, Deep Neural Networks, etc). Fluent in deep learning frameworks and libraries (TensorFlow, Keras, PyTorch, etc). Highly skilled in handling Big Data (Hadoop, Hive, Spark, Kafka, etc). Experience in reinforcement learning, knowledge graphs and graph databases, Generative Adversarial Networks (GANs), semi-supervised learning, multi-task learning is a plus. Experience in publishing at top ML, computer vision, NLP, or AI conferences and/or contributing to ML/AI-related open source projects and/or converting ML/AI papers into code is a plus. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. At USAA our employees enjoy one of the best benefits package in the business, including a flexible business casual or casual dress environment, comprehensive medical, dental and vision plans, along with wellness and wealth building programs. Additionally, our career path planning and continuing education will assist you with your professional goals. USAA also offers a variety of on-site services and conveniences to help you manage your work and personal life, including seven cafeterias, two company stores and three fitness centers. Relocation assistance is available for this position. Associated topics: c, c#, c c++, javascript, malware, matlab, processor, programmer, programming, python
10/02/2020
Full time
Purpose of Job **100% Remote Work Available** USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level. In each of the past five years, we've been a top-40 Fortune 100 Best Companies to Work For , and we've ranked among Victory Media's Top 10 Military Friendly Employers 13 years straight. We embrace a robust veteran workforce and encourage veterans and veteran spouses to apply. Uses advanced techniques that integrate traditional and non-traditional datasets and method to enable analytical solutions; Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; participates in building analytical solutions leveraging internal and external applications to deliver value and create competitive advantage; Translates complex analytical and technical concepts to non-technical employees Job Requirements Partners with other analysts across the organization to fully define business problems and research questions; Supports SME's on cross functional matrixed teams to solve highly complex work critical to the organization. Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions. Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives. Supports Subject Matter Experts (SME's) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation. Works with IT to research architecture for new products, services, and features. Develops algorithms and supporting code such that research efforts are based on the highest quality data. Translates complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions. Minimum Requirements Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field. 6 additional years of related experience beyond the minimum required may be substituted in lieu of a degree. 4 or more years of related experience and accountability for complex tasks and/or projects required. Proficient knowledge of the function/discipline and demonstrated application of knowledge, skills and abilities towards work products required. Proficient level of business acumen in the areas of the business operations, industry practices and emerging trends required. Preferred Requirements Expertise in experimental design, advanced statistical analysis, and modeling to discover key relationships in data and applying that information to predict likely future outcomes; fluent in regression, classification, tree-based models, clustering methods, text mining, and neural networks. Proven ability to enrich (add new information to) data, advise on appropriate course(s) of action to take based on results, summarize complex technical analysis for non-technical executive audiences, succinctly present visualizations of high dimensional data, and explain & justify the results of the analysis conducted. Highly competent at data wrangling and data engineering in SQL and SAS as well as advanced machine learning (ML) techniques using Python; comfortable in cloud computing environments (Azure, GCP, AWS). Hands-on experience developing products that utilize advanced machine learning techniques like deep learning in areas such as computer vision, Natural Language Processing (NLP), sensor data from the Internet of Things (IoT), and recommender systems; along with transitioning those solutions from the development environment into the production environment for full-time use. PhD in Computer Science, Applied Mathematics, Quantitative Economics, Operations Research, Statistics, or related field with coursework in advanced Machine Learning techniques (Natural Language Processing, Deep Neural Networks, etc). Fluent in deep learning frameworks and libraries (TensorFlow, Keras, PyTorch, etc). Highly skilled in handling Big Data (Hadoop, Hive, Spark, Kafka, etc). Experience in reinforcement learning, knowledge graphs and graph databases, Generative Adversarial Networks (GANs), semi-supervised learning, multi-task learning is a plus. Experience in publishing at top ML, computer vision, NLP, or AI conferences and/or contributing to ML/AI-related open source projects and/or converting ML/AI papers into code is a plus. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. At USAA our employees enjoy one of the best benefits package in the business, including a flexible business casual or casual dress environment, comprehensive medical, dental and vision plans, along with wellness and wealth building programs. Additionally, our career path planning and continuing education will assist you with your professional goals. USAA also offers a variety of on-site services and conveniences to help you manage your work and personal life, including seven cafeterias, two company stores and three fitness centers. Relocation assistance is available for this position. Associated topics: c, c#, c c++, javascript, malware, matlab, processor, programmer, programming, python