Junior Data Scientist

Summary

Vantor is forging the frontier of spatial intelligence through software development, data science, and mission-focused technical solutions. The Junior Data Scientist will develop statistical and machine learning models, process live and historical data, create simulations, and deliver analytics that support operational awareness and decision-making.

Responsibilities

• Assist 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
• Ability to obtain CBP/DHS suitability
• Bachelor's degree in Data Science, Data Analytics, Computer Science, Physics, Mathematics, or other related discipline (4 additional years of experience may be substituted for a bachelor's degree. A master's degree may count as 2 years of experience.)
• Working knowledge with one or more scripting programming languages such as Python and libraries such as pandas, numpy, scikit-learn, matplotlib, scipy
• Must be willing to work in a remote setting or nearby Vantor facility and comfortable communicating via video calls
• Experience in processing, cleaning or analyzing time series and/or geospatial data
• Familiarity in machine learning techniques used with time series and/or geospatial data
• Strong statistical background in areas such as statistical testing, regression, and probability
• Strong verbal and written communication skills
• Familiarity with database / data file systems such as PostgreSQL, HDFS
• Current Top Secret security clearance and/or CBP/DHS suitability
• Ability to understand and integrate new machine learning algorithms and technologies
• Working knowledge of agile software development practices and tools, such as Jira, Confluence, and git
• Professional experience working with spatiotemporal data
• Understanding of scoring and measuring algorithm performance
• Data Visualization of multi-source, multi-dimensional data, and analytic results
• 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 with Deep Learning technologies (Pytorch, Keras, Tensorflow)

Qualifications

Must Haves

• Must be a US citizen
• Ability to obtain CBP/DHS suitability
• Bachelor's degree in Data Science, Data Analytics, Computer Science, Physics, Mathematics, or other related discipline (4 additional years of experience may be substituted for a bachelor's degree. A master's degree may count as 2 years of experience.)
• Working knowledge with one or more scripting programming languages such as Python and libraries such as pandas, numpy, scikit-learn, matplotlib, scipy
• Must be willing to work in a remote setting or nearby Vantor facility and comfortable communicating via video calls
• Experience in processing, cleaning or analyzing time series and/or geospatial data
• Familiarity in machine learning techniques used with time series and/or geospatial data
• Strong statistical background in areas such as statistical testing, regression, and probability
• Strong verbal and written communication skills
• Familiarity with database / data file systems such as PostgreSQL, HDFS

Nice to Haves

• Current Top Secret security clearance and/or CBP/DHS suitability
• Ability to understand and integrate new machine learning algorithms and technologies
• Working knowledge of agile software development practices and tools, such as Jira, Confluence, and git
• Professional experience working with spatiotemporal data
• Understanding of scoring and measuring algorithm performance
• Data Visualization of multi-source, multi-dimensional data, and analytic results
• 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 with Deep Learning technologies (Pytorch, Keras, Tensorflow)

Benefits

• Remote work within the continental United States
• A robust 401(k) with company match
• Mental health resources
• Student loan repayment assistance
• Adoption reimbursement
• Pet insurance