Data Scientist Level 2

Job Description

A data scientist will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data when training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers;

partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows. Responsibilities • Produce data visualizations that provide insight into dataset structure and meaning. • Work with subject matter experts (SMEs) to identify important information in raw data and develop scripts that extract this information from a variety of data formats (e.g., SQL tables, structured metadata, network logs). • Incorporate SME input into feature vectors suitable for analytic development and testing. • Translate customer qualitative analysis process and goals into quantitative formulations that are coded into software prototypes. • Develop and implement statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics. • Develop statistical tests to make data‑driven recommendations and decisions. • Develop experiments to collect data or models to simulate data when required data are unavailable. • Develop feature vectors for input into machine learning algorithms. • Identify the most appropriate algorithm for a given dataset and tune input and model parameters. • Evaluate and validate the performance of analytics using standard techniques and metrics (e.g., cross‑validation, ROC curves, confusion matrices). • Oversee the development of individual analytic efforts and guide the team in the analytic development process. • Guide analytic development toward solutions that can scale to large datasets. • Partner with software engineers and cloud developers to develop production analytics. • Develop and train machine learning systems based on statistical analysis of data characteristics to support mission automation. Compensation

The annual base salary range for this role is $165,000–$195,000 (USD), which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered may vary from the posted range based on geographic location, work experience, education, and/or skill level, among other factors. Required Skills

Bachelor’s degree from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science). Five (5) years of experience analyzing datasets and developing analytics, and five (5) years of experience programming with data analysis software such as R, Python, SAS, or MATLAB. An additional four (4) years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a bachelor’s degree.

A PhD from an accredited college or university in a quantitative discipline can be substituted for four (4) years of experience. About Nyla Technology Solutions

Nyla Technology Solutions delivers exceptional Artificial Intelligence (AI), Data Science, and Software Engineering services for the U.S. Government. Headquartered in Columbia, Maryland, our team is known for developing solutions that have a quick and immediate impact on mission. Benefits Summary

Nylla offers a top‑of‑market compensation and benefits package, including 100% coverage of health, dental, and vision care, 10% 401(k) matching with full vesting day 1, a professional development stipend of $5,000 per year, a student loan repayment program, and 8 hours of volunteering annually. Our Nyla FLEX program provides flexibility in pay, leave, and schedule to fit individual lifestyle needs.

Nyla is an equal opportunity employer. #J-18808-Ljbffr