Senior Mathematical Data Scientist

Key Skills

AI technology, Algorithms, Computational Algorithms, Geospatial Statistical, Machine learning techniques, Mathematical modeling, Mathematical optimization, Probabilistic Graphical Models, Python Programming, Simulation software, Statistical modeling, Topological

Job Description

AIR is currently seeking a Sr. Mathematical Data Scientist to conduct both theoretical and applied research using advanced analytics. The candidate will work in a fast-paced, interdisciplinary environment to develop and deploy quick turn-around analytics solutions.

Our recent work include:

(1) Building, training, and rapid deployment of machine-learning and artificial intelligence (ML/AI) models for improving the operational efficiency, timeliness, accuracy, consistency, and integrity of federal and state programs;

(2) Developing mathematical, statistical, or simulation models to study complex systems and social policies through the introduction of stochastic processes; and

(3) Developing numerical and computational methods to solve applied and theoretical problems in the fields of microsimulation, predictive analytics of complex systems, pattern recognition, anomaly detection, system dynamics modeling, agent-based modeling, text analytics, and partial automation of complex human tasks.

Candidates hired for the position might initially start working remotely but will eventually have the option to work from one of our U.S. office - Columbia, MD, USA locations or continue to work remotely based in the U.S.

Responsibilities

The responsibilities for the position include:

• Assisting with AIR’s mathematical modeling activities;
• Led theoretical development of AIR’s mathematical modeling activities;
• Applying mathematical and statistical theory and methods to solve problems in a variety of fields.
• Developing mathematical or statistical models of observed and theoretical phenomena to be used for analysis or computational simulation;
• Designing projects that apply valid scientific techniques and utilize information obtained from baselines or historical data, in particular under the assumption of non-Euclidean topologies or metrics;
• Translating physical processes into computational models;
• Developing new, or extending existing algorithms for data analysis;
• Processing large amounts of data for statistical modeling, or graphic analysis, using Python, within minimal computational requirements;
• Developing software, algorithms, and applications to apply mathematics to data and build data-driven applications that translate data into computational intelligence;
• Designing and implementing ML/AI initiatives for advanced analysis, including feature engineering, testing/training/validation data construction, fitting, testing and validation, for deployment in production or operational environments;
• Developing non-standard ML models, such as those based on unstructured or non-Euclidian data;
• Writing technical reports and funding proposals and supporting business development by participating in business development and capture activities;
• Making presentations to clients; and
• Supervising and mentoring junior research staff.

Qualifications

Education, Knowledge, and Experience:

• PhD in Pure Mathematics from a U.S. accredited university
• Minimum of 3 years of experience
• Expertise in spatial topology 
• Experience with group actions on manifolds, topological data analysis, and configuration spaces
• Experience with machine learning algorithms on spatial and unstructured data
• Demonstrated experience using category theory to better understand algebraic and topological concepts
• Demonstrated experience with topological symmetry groups
• Demonstrated experience in the Python programming language
• Experience in construction and use of distributed systems, use of APIs, and cloud computing platforms, such as Amazon Web Services (AWS) is preferred but not required
• Expert-level experience building custom solutions using advanced analytics ML/AI is preferred but not required
• Minimum of 3 years of experience with Python is preferred but not required

 Skills:

• Strong attention to detail with commitment to accuracy when
• Excellent interpersonal skills to ensure effective communication with individuals at all levels and from diverse backgrounds
• Strong organizational skills
• Self-motivated with minimal oversight
• Comfortable working in a virtual/dispersed work environment

Disclosures:

AIR requires all new hires to be fully vaccinated against COVID-19 or receive a legally required exemption from AIR, as a condition of employment. AIR will ask candidates to verify their vaccination status only after a conditional offer of employment is made. Applicants should not provide information about their vaccination status or need for exemption prior to receiving a conditional offer of employment from AIR

Applicants must be currently authorized to work in the U.S. on a full-time basis. Employment-based visa sponsorship (including H-1B sponsorship) is not available for this position. Depending on project work, qualified candidates may need to meet certain residency requirements.