Data Scientist

Summary

Vantor is a spatial intelligence company supporting mission partners through software development, data science, and operationally relevant technical solutions. The Data Scientist will lead the development of statistical and machine learning models for the FALCON effort, using live and historical data to detect kinematic behaviors, develop simulations, and support mission-focused analytics and decision-making.

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

Skills

• 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
• 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
• To be eligible for this position, you must be a U.S. Citizen
• This position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration
• This position requires an active U.S. Government Security Clearance at the Top Secret and/or CBP/DHS suitability level
• This role can be performed remotely within the continental United States
• Master's degree
• Experience with Deep Learning technologies (Pytorch, Keras, Tensorflow)
• Experience with radar data
• Experience with data corellation

Qualifications

Must Haves

• 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
• 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
• To be eligible for this position, you must be a U.S. Citizen
• This position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration
• This position requires an active U.S. Government Security Clearance at the Top Secret and/or CBP/DHS suitability level
• This role can be performed remotely within the continental United States

Nice to Haves

• Master's degree
• Experience with Deep Learning technologies (Pytorch, Keras, Tensorflow)
• Experience with radar data
• Experience with data corellation

Benefits

• A robust 401(k) with company match
• Mental health resources
• Student loan repayment assistance
• Adoption reimbursement
• Pet insurance