Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next.  Vantor is a place for problem solvers, changemakers, and go-getters—where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.

Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).

Please review the job details below.

This position requires an active U.S. Government Security Clearance at the Top Secret and/or CBP/DHS suitability level.

Vantor is currently seeking a Data Scientist to lead the development of statistical and machine learning models to support our FALCON effort. This role can be performed remotely within the continental United States. The ideal candidate will derive these models to detect kinematic behaviors leveraging live and historical data.  Using these models, the candidate will develop and run simulations to inform the development team on approaches to incorporate analytics into the system.  This is an exciting opportunity to discover and apply data science techniques to solve unique and evolving problems. 

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.

About Us:

• We are a multi-disciplinary software development and data-focused team supporting mission partners through rapid prototyping, iterative development, and operationally relevant technical solutions.
• 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

Minimum Qualifications:

• 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

Preferred Qualifications:

• 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.

The base pay for this position within California, Colorado, Hawaii, New Jersey, the Washington, DC metropolitan area, and for all other states is:

Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers

The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire.  If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire. 

The date of posting can be found on Vantor's Career page at the top of each job posting.

To apply, submit your application via Vantor's Career page.

EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.