Data Scientist

🔥 16 hours ago

🇺🇸 United States – Remote

💵 $135k - $170k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

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 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 development approaches for incorporating analytics into the system • Support research, development, and sustainment of mission-focused software applications, backend services, APIs, data workflows, and analytical capabilities • Create and refine software applications and maintain and enhance 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 from multiple sources • Perform data cleansing, validation, and ETL activities • 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 • 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 a related discipline, with 5+ years of industry experience in data science • Experience with 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

🏖️ Benefits

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