Total 152 Others level Science / R&D / Research job vacancies in AUT - Remote

• Develop and apply statistical theories, methods, and techniques to analyze and interpret data, providing insights and recommendations to support data-driven decision and policy making processes within the organization.
• Design and implement data collection and processing methods, ensuring data quality, accuracy, and relevance to research objectives.
• Design, implement and maintain data pipelines to transform raw data into a common data model, annotate data and metadata with controlled vocabulary terms (indexing), and convert data to graph format.
• Contribute to the development of new methodologies and approaches in the field of semantic technology by sharing knowledge and expertise with colleagues.
• Adhere to ethical guidelines and maintain data confidentiality, ensuring the responsible conduct of research and compliance with applicable laws, regulations, and policies.

What will I do in this position if hired?

In this position, you will serve as a Personnel Research Psychologist.
Typical assignments include:

• The development, validation, and administration of cognitive and non-cognitive competency assessments for selection and diagnostic purposes. This includes job analysis, written and non-written tests, job knowledge tests, performance tests, and computer simulations.
• The development and administration of organizational assessments to assess climate and organizational outcomes, including employee climate, customer satisfaction, exit, and custom surveys.
• Responsible for conducting research and applying innovative assessment procedures and technologies to develop practical solutions to human resources management problems.

What else do I need to know?

At FEMA, our mission is to help people before, during and after disasters, and every employee at FEMA has a role in emergency management. Every FEMA employee has regular and recurring emergency management responsibilities, though not every position requires routine deployment to disaster sites. All positions are subject to recall around the clock for emergency management operations, which may require irregular work hours, work at locations other than the official duty station, and may include duties other than those specified in the employee's official position description. Travel requirements in support of emergency operations may be extensive in nature (weeks to months), with little advance notice, and may require employees to relocate to emergency sites with physically austere and operationally challenging conditions.

FEMA is committed to ensuring that its workforce reflects the diversity of the nation. At FEMA, our workforce includes the many identities, races, ethnicities, backgrounds, abilities, ages, cultures, and beliefs of the people we serve. To learn about FEMA's ongoing diversity and inclusion efforts, reasonable accommodation process, and the FEMA Core Values, please visit www.fema.gov.

• Assist the Director and Senior Staff in coordinating, scheduling, and prioritizing meetings, visits, appointments, agendas, and travel requirements.
• Support planning and coordination of Directorate events, seminars, workshops, retreats; provide site coordination, including audio/visual equipment support, hybrid/virtual arrangements, documentation, and meeting announcements and communications.
• Coordinate with other administrative assistants within the Directorate to ensure timely, accurate, and consistent support for the Director and Senior Staff.
• Serve as the Directorate lead for records management. Identify, update, maintain, and catalog records for management systems. Provide retention schedules for records.
• Lead the implementation of administrative management policies. Interpret and provide advice to employees and managers on policies and regulations pertaining to administrative matters, including travel.
• Support Diversity, Equity, Inclusion, and Accessibility (DEIA) initiatives in the Directorate and facilitate DEIA topic discussions with the Senior Staff.
• Manage Center access for foreign nationals, as required.
• Manage budget and purchasing of Directorate supplies and materials, maintain financial records.
• Foster a culture of engagement, diversity, inclusiveness, excellence and innovation. Champion NASA's commitment to Diversity, Equity, Inclusion and Accessibility to create an environment that promotes a commitment to safety, integrity, and teamwork.

REQUIREMENTS:

• Experience: 7+ Years
• Proficiency in data mining and extracting usable data from various sources.
• Experience with machine learning tools for feature selection, classifier creation, and optimization.
• Strong skills in data preprocessing, including handling structured and unstructured data.
• Ability to enhance data collection procedures to gather relevant information for analytics.
• Expertise in data processing, cleansing, and validation to ensure data integrity.
• Analytical skills to analyze large datasets and identify patterns and solutions.
• Experience in developing prediction systems and machine learning algorithms.
• Effective communication skills to present results clearly.
• Problem-solving skills to propose solutions and strategies for business challenges.
• Collaboration skills to work effectively with Business and IT teams.

RESPONSIBILITIES:

• Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
• Mapping decisions with requirements and be able to translate the same to developers.
• Identifying different solutions and being able to narrow down the best option that meets the client’s requirements.
• Defining guidelines and benchmarks for NFR considerations during project implementation
• Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers
• Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
• Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it
• Understanding and relating technology integration scenarios and applying these learnings in projects
• Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
• Carrying out POCs to make sure that suggested design/technologies meet the requirements.

REQUIREMENTS:

• Experience: 13+ Years
• Proficiency in programming languages such as Python, R, or Scala.
• Experience in Gen AI techniques, including RAG and prompt engineering.
• Strong knowledge of predictive modeling techniques.
• Experience with optimization algorithms and tools.
• Strong knowledge of statistical analysis, machine learning, and data mining techniques.
• Experience with data manipulation and visualization libraries.
• Familiarity with distributed computing frameworks and cloud platforms.
• Strong analytical and problem-solving skills.
• Excellent leadership and interpersonal skills.
• Excellent verbal and written communication skills.
• Demonstrated ability to adapt to changing priorities.

RESPONSIBILITIES:

• Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
• Mapping decisions with requirements and be able to translate the same to developers.
• Identifying different solutions and being able to narrow down the best option that meets the client’s requirements.
• Defining guidelines and benchmarks for NFR considerations during project implementation
• Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers
• Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
• Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it
• Understanding and relating technology integration scenarios and applying these learnings in projects
• Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
• Carrying out POCs to make sure that suggested design/technologies meet the requirements.

REQUIREMENTS:

• Experience: 7+ Years
• Handson experience in machine learning, with a proven track record of delivering impactful solutions in NLP, machine vision, and AI.
• Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., Pandas, NumPy).
• Strong understanding of statistical concepts and techniques, and experience applying them to real-world problems.
• Strong programming skills in Python, and proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX, as well as machine learning libraries such as scikit-learn.
• Practical experience with Generative AI frameworks such as GANs, VAEs, prompt engineering, and retrieval-augmented generation (RAG), and the ability to apply them to real-world problems.
• Excellent problem-solving skills, with a creative and analytical mindset.
• Strong communication and teamwork skills, with the ability to work effectively in a team environment and interact with stakeholders at all levels.
• Experience with AI ethics and responsible AI practices

RESPONSIBILITIES:

• Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
• Mapping decisions with requirements and be able to translate the same to developers.
• Identifying different solutions and being able to narrow down the best option that meets the client’s requirements.
• Defining guidelines and benchmarks for NFR considerations during project implementation
• Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers
• Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
• Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it
• Understanding and relating technology integration scenarios and applying these learnings in projects
• Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
• Carrying out POCs to make sure that suggested design/technologies meet the requirements.

REQUIREMENTS:

• Experience: 5+ Years
• An R Developer is responsible for building and implementing statistical models, algorithms, and data-driven solutions using R.
• They analyze large datasets, perform data cleaning and transformation, and create visualizations to support decision-making.
• The developer collaborates with data scientists, analysts, and stakeholders to meet project requirements, generating reports, dashboards, and automated processes using tools like RMarkdown and Shiny.
• They also optimize R code for performance, develop reusable R packages, and maintain code repositories.
• Documentation of workflows and adherence to coding best practices are essential, along with continuous learning to stay updated on advancements in R and data science methodologies.

RESPONSIBILITIES:

• Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
• Mapping decisions with requirements and be able to translate the same to developers.
• Identifying different solutions and being able to narrow down the best option that meets the client’s requirements.
• Defining guidelines and benchmarks for NFR considerations during project implementation
• Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers
• Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
• Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it
• Understanding and relating technology integration scenarios and applying these learnings in projects
• Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
• Carrying out POCs to make sure that suggested design/technologies meet the requirements.