
1001 - 5000 employees
đď¸ Defense
đŚ Logistics
đź Consulting
Defense ⢠Logistics ⢠Consulting
Vantor is a spatial intelligence company that builds an AI-ready "living globe" and a commercial imaging satellite constellation to unify sensor data across space, air, and ground. It provides software platforms and products for real-time tasking, sensor orchestration, high-resolution basemaps, radar and optical imagery, and autonomous ISR capabilities used by defense, intelligence, government, and commercial customers.
đĽ 16 hours ago
đşđ¸ United States â Remote
đľ $135k - $170k / year
â° Full Time
đĄ Mid-level
đ Senior
đ Data Scientist
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1001 - 5000 employees
đď¸ Defense
đŚ Logistics
đź Consulting
Defense ⢠Logistics ⢠Consulting
Vantor is a spatial intelligence company that builds an AI-ready "living globe" and a commercial imaging satellite constellation to unify sensor data across space, air, and ground. It provides software platforms and products for real-time tasking, sensor orchestration, high-resolution basemaps, radar and optical imagery, and autonomous ISR capabilities used by defense, intelligence, government, and commercial customers.
⢠Lead the 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 statistical analyses and scoring metrics to evaluate algorithm performance ⢠Create training and test datasets from multiple sources to enhance algorithms ⢠Perform data cleansing, validation, and other ETL functions ⢠Produce analytic reports and presentations for internal and external stakeholders ⢠Identify and implement data visualizations for analysis, presentations, 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 documentation describing data science processes, results, and approaches ⢠Select and implement machine learning algorithms to enhance or compete with existing algorithms ⢠Research, develop, and sustain mission-focused software applications, backend services, APIs, data workflows, and analytical capabilities ⢠Maintain and enhance custom applications, troubleshoot defects, improve performance, contribute to code reviews and technical documentation, and deliver reliable capabilities in an agile, remote-first environment ⢠Collaborate with software engineers, data scientists, analysts, and customer stakeholders to build applications and data pipelines supporting operational awareness and data-driven decision-making
⢠Must be a US citizen ⢠Current Top Secret security clearance and/or CBP/DHS suitability ⢠Good working knowledge of Python and pandas, numpy, scikit-learn, matplotlib, and scipy ⢠Experience processing, cleaning, and analyzing time series and/or geospatial data ⢠Strong statistical background in statistical testing, regression, and probability ⢠3+ years of professional experience applying machine learning techniques to time series and/or geospatial data ⢠3+ years of professional experience with databases/data file systems such as PostgreSQL and 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 ⢠Bachelor's degree in Data Science, Data Analytics, Computer Science, Physics, Mathematics, or related discipline with 5+ years of industry experience in data science ⢠Experience scoring and measuring algorithm performance ⢠Data visualization of multi-source, multi-dimensional data and analytic results in real time and presentations ⢠Experience conducting model feasibility research and machine learning algorithm development ⢠Wide breadth of experience with machine learning algorithms and approaches ⢠Current knowledge of industry trends and ability to articulate trends and potential clearly and confidently ⢠Experience working on teams using Agile Scrum or Kanban ⢠Preferred: Master's degree ⢠Preferred: Experience with deep learning technologies such as PyTorch, Keras, and TensorFlow ⢠Preferred: Experience with radar data ⢠Preferred: Experience with data correlation ⢠Strong verbal and written communication skills ⢠Ability to multitask, prioritize, and manage time efficiently
⢠Robust 401(k) with company match ⢠Mental health resources ⢠Student loan repayment assistance ⢠Adoption reimbursement ⢠Pet insurance ⢠Competitive total rewards package
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