Senior Data Scientist

🔥 1 hour ago

🇺🇸 United States – Remote

💵 $170k - $200k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Vantor

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🎖️ Defense

📦 Logistics

💼 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.

📋 Description

• Lead the development of statistical and machine learning models for the FALCON effort • Derive models to detect kinematic behaviors using live and historical data • Develop and run simulations to inform system analytics approaches • Support mission-focused software applications, backend services, APIs, data processing workflows, and analytical capabilities • Create and refine software applications • Maintain and enhance existing custom applications • Troubleshoot defects and improve performance • Contribute to code reviews and technical documentation • Lead teams in designing analytic solutions that meet customer needs • Enhance analytic solutions for 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 • Perform data cleansing, validation, and ETL functions • Produce analytic reports and presentations for internal and external stakeholders • Implement data visualization 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 • Document data science processes, results, and approaches • Select and implement machine learning algorithms to enhance or compete with existing algorithms • Collaborate with software engineers, data scientists, analysts, and customer stakeholders in an agile, remote-first environment

🎯 Requirements

• Must be a US citizen • Current Top Secret security clearance and/or CBP/DHS suitability • Master’s in Data Science, Data Analytics, Computer Science, Physics, Mathematics, or related discipline with 5+ years of industry experience in data science, or a Bachelor’s 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 PostgreSQL, HDFS, or similar database/data file systems • 7+ years of professional experience with version control systems such as Git • 7+ years of professional experience with time series event forecasting • Good working knowledge of Python, 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 • Experience correlating data from different sensors into one track • Ability to understand and integrate new machine learning algorithms and technologies • Experience scoring and measuring algorithm performance • Data visualization of multi-source, multi-dimensional data and analytic results • Experience conducting model feasibility research and machine learning algorithm development • Ability to multitask, prioritize, and manage time efficiently • Broad 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 Agile Scrum or Kanban teams • Strong verbal and written communication skills • Preferred: PhD • Preferred: 3+ years of experience with deep learning technologies such as PyTorch, Keras, and TensorFlow • Preferred: 3+ years of experience with radar data

🏖️ Benefits

• Robust 401(k) with company match • Mental health resources • Student loan repayment assistance • Adoption reimbursement • Pet insurance • Competitive total rewards package