Data Scientist (Entry Level) - SEAL - Open Rank (Onsite)

The Georgia Tech Research Institute (GTRI) is the nonprofit, applied research division of the Georgia Institute of Technology (Georgia Tech).Founded in 1934 as the Engineering Experiment Station, GTRI has grown to more than 2,900 employees, supporting eight laboratories in over 20 locations around the country and performing more than $940 million of problem-solving research annually for government and industry.GTRI's renowned researchers combine science, engineering, economics, policy, and technical expertise to solve complex problems for the U.S. federal government, state, and industry.

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Smyrna, GA (Metro Atlanta)

The Command, Control, and Communications Division (C3D) within the Sensors and Electromagnetic Applications Laboratory (SEAL) is looking for a Data Scientist to work along side of a team of multidisciplinary researchers focused on artificial intelligence (AI) and machine learning (ML) C3 capabilities for Battle Management (BM) Decision Superiority line-of-effort. C3D delivers robust communications and data fused capabilities to the warfighter. C3D focuses on the ideation, development, implementation, testing, and analysis of various technical challenges ranging from Combined Joint All Domain C2 warfighting concepts to the challenges posed by the increasing lethality of modern contested, degraded environments of near-peer and peer adversaries.

The Data Scientist interprets and analyzes data to solve problems and sponsor needs, utilizing advanced algorithms in statistics, machine learning, and artificial intelligence for analyzing and classifying datasets. In addition, the Data Scientist extracts hidden information from large sources of raw data to deliver value to business stakeholders and applies state-of-the-art data mining techniques, conducts statistical analyses, builds high-quality prediction models, and data visualizations. The Data Scientist is also responsible for selecting features as well as building and optimizing classifiers using machine learning or statistical techniques. The Data Scientist creates a thorough plan for model validation and conducts A/B testing when required. This position requires a strong educational background in computer science and/or mathematics, particularly with an advanced degree. Additionally, the Data Scientist may perform physics-based modeling, applied quantum algorithms, and artificial intelligence (AI).

• Extract and clean data
• Create reports and visualizations
• Proficient in R, Python, and/or Julia, also SAS, SPSS, and/or Tableau.

• Apply mathematical and statistical techniques to analyze complex datasets and quantify uncertainty in model outputs.
• Assist in designing experiments and studies, including sampling strategies and power analyses, under the guidance of senior faculty.
• Implement statistical models (e.g., linear and generalized linear models, timeseries models, Bayesian methods) and evaluate their performance using appropriate diagnostics.
• Develop and maintain reproducible analysis pipelines in Python or R, emphasizing transparent statistical assumptions and methods.
• Create clear visualizations and quantitative summaries to communicate statistical findings to project teams and stakeholders.

• Successful completion of core coursework in probability, mathematical statistics, and at least one of: regression analysis, experimental design, timeseries analysis, or machine learning.
• Demonstrated ability to implement statistical methods in Python or R, including data wrangling, model fitting, model evaluation, and visualization.
• Solid understanding of statistical inference concepts such as confidence intervals, hypothesis testing, and pvalues, and when they are appropriate.
• Strong quantitative reasoning, attention to detail, and commitment to data quality and reproducibility.
• Effective written and verbal communication skills for explaining methods, assumptions, and results to technical team members.

• Active Secret Clearance
• Master's degree in Statistics, Mathematics, Applied Mathematics, Biostatistics, or a closely related quantitative discipline.
• 0-2 years of experience applying mathematical and statistical methods to realworld data or research problems (e.g., internships, research projects, thesis work), aligning with an earlycareer / Career3 skill level.
• Experience with advanced statistical/machine learning techniques (e.g., regularized regression, mixedeffects models, Bayesian modeling, causal inference, or advanced timeseries methods).
• Experience designing and analyzing experiments or A/B tests, including power calculations and treatmenteffect estimation.
• Familiarity with numerical methods and optimization techniques relevant to statistical and machine learning models.
• Experience working with messy, realworld data (missing data, measurement error, confounding) and applying appropriate statistical remedies.
• Experience producing technical reports, presentations, or publications that clearly document statistical methodology and results for sponsors or research collaborators

<10% travel

This position vacancy is an open-rank announcement. The final job offer will be dependent on candidate qualifications in alignment with Research Faculty Extension Professional ranks as outlined in section 3.2.1 of the Georgia Tech Faculty Handbook

• 0 years of related experience with a Bachelor's degree in Statistics, Mathematics, Applied Mathematics, Biostatistics, or a closely related quantitative discipline

Due to our research contracts with the U.S. federal government, candidates for this position must be U.S. Citizens.

Candidates must be able to obtain and maintain an active security clearance.

Comprehensive information on currently offered GTRI benefits, including Health & Welfare, Retirement Plans, Tuition Reimbursement, Time Off, and Professional Development, can be found through this link: https://benefits.hr.gatech.edu/.

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