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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Vantor Inc. - **Location:** United States - **Experience:** Experienced - **Salary:** $135,000.0 - $170,000.0 - **Contract:** Permanent contract - **Skills:** Geographic Information Systems, Application Programming Interfaces (APIs), Algorithm Design, Software Applications, Code Review, Databases, Custom Software, Data Cleansing, Data Files, Extract Transform Load (ETL), Data Visualization, Data Warehousing, Hadoop Distributed File System, Python (Programming Language), PostgreSQL, Machine Learning, NumPy, Scrum Methodology, Tensorflow, Data Driven Tests, SciPy, Software Engineering, Data Processing, Feature Engineering, Pytorch, Deep Learning, Backend, Keras, Git, Pandas, Matplotlib, Scikit Learn, Information Technology, Data Analytics, Data Pipelines - **Published:** September 15, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9165407/data-scientist ## About the Role * Must be a US citizen. * Current Top Secret security clearance and/or CBP/DHS suitability. * Good working knowledge of Python and libraries such as pandas, numpy, scikit-learn, matplotlib, scipy * Experience in processing/cleaning and analyzing time series and/or geospatial data * data * Strong statistical background in areas such as statistical testing, regression, and probability * 3+ years of professional experience in applying machine learning techniques to time series and/or geospatial data * Strong verbal and written communication skills * 3+ years of professional experience with database / data file system such as PostgreSQL, HDFS * 3+ years of professional experience with version control systems such as Git * 3+ years of professional experience with time series event forecasting * Ability to understand and integrate new machine learning algorithms and technologies * Bachelors in Data Science, Data Analytics, Computer Science, Physics, Mathematics, or other related discipline with 5+ years of industry experience of the data science field * Experience with scoring and measuring algorithm performance * Data Visualization of multi-source, multi-dimensional data, and analytic results in both real-time and for presentations * Experience conducting model feasibility research and algorithm development for machine learning * Ability to multitask, prioritize, and manage time efficiently * Wide breadth experience with machine learning algorithms and approaches * Current knowledge of the latest industry trends; Ability to articulate trends and their potential clearly and confidently * Experience in working on teams following development methodologies such as Agile Scrum or Kanban, * Master's degree * Experience with Deep Learning technologies (Pytorch, Keras, Tensorflow) * Experience with radar data * Experience with data corellation Pay Transparency: In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The successful candidate's starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range. ## Description As a Vantor team member, you will have the opportunity to closely support our mission partners, and your work will have a direct impact on building mission-focused software capabilities that support operational awareness, data-driven analysis, and timely decision-making. In this role, you will work closely with software engineers, data scientists, analysts, and customer stakeholders to build, enhance, and sustain applications and data pipelines that help transform complex data into actionable insight., * Our diverse background of experience in mission support, software engineering, and applied data science serves as a catalyst to solve unique and challenging intelligence problems in support of operational users and their on-going activities. * Prototyping and frequent, iterative feedback are core to our delivery approach, anchored by a need to ensure accuracy, reliability, and timeliness in support of our customer's mission. * Culture matters! The FALCON team values clear communication, ownership, technical curiosity, and the ability to contribute ideas without ego while fostering each other's growth through feedback and flexibility. What You'll Be Doing: Contributing to the continued research, development, and sustainment of mission-focused software applications, backend services, APIs, data processing workflows, and analytical capabilities. You will support engineers and mission partners by creating and/or refining software applications, maintaining and enhancing existing custom applications, troubleshooting defects, improving performance, contributing to code reviews and technical documentation, and helping deliver reliable capabilities in an agile, remote-first environment. Responsibilities: * Lead team in designing analytic solutions that meet customer needs * Enhance existing analytic solutions to ensure quality and performance * Integrate Data from multiple sources to create a common operating picture * Select and implement appropriate statistical analyses and scoring metrics to evaluate performance of existing algorithms * Create training and test datasets from multiple sources to enhance existing algorithms * Perform data processing activities such as data cleansing and validating as well as other Extract Transform Load (ETL) functions * Derive and produce Analytic Reports and Presentations for internal and external stakeholders * Identify and implement data visualization for analysis, presentation, and end-user UI needs * Perform feature engineering, classifier optimization, event forecasting, and anomaly detection * Interface with external stakeholders to decompose data science mission needs * Produce data science processes, results, and approach documentation * Select and implement industry machine learning algorithms to enhance or compete with existing algorithms ## Related Videos - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Vectorize all the things! 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