> Markdown version of [/jobs/ext/3651047-data-scientist-sr-remote-role](https://www.wearedevelopers.com/jobs/ext/3651047-data-scientist-sr-remote-role). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist, Sr. - Remote Role - **Company:** TRENT HOEK OUTDOORS LLC - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $170,000.0 - $200,000.0 - **Contract:** Permanent contract - **Skills:** Geographic Information Systems, Application Programming Interfaces (APIs), Algorithm Design, Software Applications, Code Review, Databases, Data Validation, Data Cleansing, Data Files, Extract Transform Load (ETL), Data Visualization, Hadoop Distributed File System, Python (Programming Language), PostgreSQL, Machine Learning, NumPy, Scrum Methodology, Tensorflow, SciPy, Data Processing, Feature Engineering, Pytorch, Deep Learning, Backend, Keras, Git, Pandas, Matplotlib, Scikit Learn, Information Technology, Data Analytics, Software Version Control, Data Pipelines - **Published:** October 9, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pq01r4llnw ## About the Role * U.S. citizenship. * Current Top Secret security clearance and/or CBP/DHS suitability. * Master's degree in Data Science, Data Analytics, Computer Science, Physics, Mathematics, or another related discipline with 5+ years of industry data science experience, or a Bachelor's degree with 10+ years of experience. * 7+ years of professional experience applying machine learning techniques to time series and/or geospatial data. * 7+ years of professional experience with databases/data file systems such as PostgreSQL and HDFS. * 7+ years of professional experience with version control systems such as Git. * 7+ years of professional experience with time series event forecasting. * Strong working knowledge of Python and libraries including pandas, NumPy, scikit-learn, Matplotlib, and SciPy. * Experience processing, cleaning, and analyzing time series and/or geospatial data. * Strong statistical knowledge in areas including statistical testing, regression, and probability. * Experience correlating data from different sensors into a single track. * Ability to understand and integrate new machine learning algorithms and technologies. * Experience scoring and measuring algorithm performance. * Experience visualizing multi-source, multidimensional data and analytical results in real time and for presentations. * Experience conducting model feasibility research and machine learning algorithm development. * Broad experience with machine learning algorithms and approaches. * Ability to multitask, prioritize, and manage time efficiently. * Current knowledge of industry trends and the ability to clearly and confidently articulate their potential. * Experience working on teams using development methodologies such as Agile Scrum or Kanban. * Strong verbal and written communication skills. ## Preferred Qualifications * PhD. * 3+ years of professional experience with deep learning technologies such as PyTorch, Keras, or TensorFlow. * 3+ years of professional experience working with radar data. ## Skills & Competencies * Statistical analysis and machine learning * Time series and geospatial data analysis * Python, pandas, NumPy, scikit-learn, Matplotlib, and SciPy * Database and data file systems * Git and version control * ETL, data cleansing, and data validation * Feature engineering and classifier optimization * Event forecasting and anomaly detection * Algorithm evaluation and performance scoring * Data visualization and analytical reporting * Machine learning research and algorithm development * Sensor data correlation and track generation * Agile Scrum and Kanban * Stakeholder communication and collaboration * Technical documentation * Multitasking, prioritization, and time management ## Education & Experience Education * Master's degree in Data Science, Data Analytics, Computer Science, Physics, Mathematics, or a related discipline, or Bachelor's degree with the applicable experience alternative. * PhD preferred. Experience * 7+ years applying machine learning to time series and/or geospatial data. * 7+ years with databases/data file systems such as PostgreSQL and HDFS. * 7+ years with Git or other version control systems. * 7+ years with time series event forecasting. * Additional experience requirements are detailed under Required Qualifications. ## Work Arrangement & Schedule ## Description Vantor is seeking a Senior Data Scientist to lead the development of statistical and machine learning models supporting the FALCON effort. This fully remote role can be performed within the continental United States and focuses on detecting kinematic behaviors using live and historical data, developing simulations, and informing the development team on approaches for incorporating analytics into mission-focused systems. You will work closely with software engineers, data scientists, analysts, mission partners, and customer stakeholders to transform complex, multi-source data into actionable insights. The role involves research, algorithm development, data processing, visualization, forecasting, anomaly detection, and sustaining reliable software and analytical capabilities in an agile, remote-first environment. ## Key Responsibilities * Lead the design of analytic solutions that meet customer and mission needs. * Enhance existing analytic solutions to improve quality and performance. * Integrate data from multiple sources to create a common operating picture. * Select and implement statistical analyses and scoring metrics to evaluate algorithm performance. * Create training and test datasets from multiple data sources. * Perform data cleansing, validation, and other Extract, Transform, Load (ETL) activities. * Develop analytic reports and presentations for internal and external stakeholders. * Implement data visualization for analysis, presentations, and end-user interfaces. * Perform feature engineering, classifier optimization, event forecasting, and anomaly detection. * Interface with external stakeholders to decompose data science mission requirements. * Develop documentation covering data science processes, approaches, and results. * Research, select, and implement machine learning algorithms to enhance or compete with existing algorithms. * Contribute to the research, development, and sustainment of mission-focused software applications, backend services, APIs, data processing workflows, and analytical capabilities. * Refine custom applications, troubleshoot defects, improve performance, participate in code reviews, and contribute to technical documentation. * Collaborate with engineers and mission partners to deliver accurate, reliable, and timely capabilities.