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# Data Scientist 2/3-FFLL-8910

- **Company:** Onyx Point, Inc.
- **Location:** Hanover, MD, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $78,000.0 - $250,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Cloud Engineering, Data Mining, Data Visualization, R (Programming Language), Statistical Hypothesis Testing, Python (Programming Language), MATLAB, Machine Learning, Pattern Recognition, Raw Data, SAS (Software), Software Engineering, SQL Databases, Information Technology, Performance Monitor
- **Published:** July 5, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=16e9f32e2094eb2c

## About the Role

Working with software development teamsBachelor's degree or higher from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science). A minimum of ten (10) years of experience in two (2) or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering 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 Master's Degree from an accredited college or university in a quantitative discipline can be substituted for two (2) years of experience for a total of eight (8) years of experience required. A Doctoral Degree from an accredited college or university in a quantitative discipline can be substituted for four (4) years of experience for a total of six (6) years of experience required.
Produce data visualizations that provide insight into dataset structure and meaning
Work with subject matters 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)

## Description

Developing feature vectors and working with vector databases such as Qdrant, 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, 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 team in analytic development process, Understand emerging machine learning and pattern recognition algorithms and guide a team of data scientists in integrating state-of-the-art algorithms into solutions
Delegate analysis responsibilities to one or more team members and monitor performance.


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