Mission-Driven Data Scientist: Spatial Intelligence

Vantor Inc.; Reston (VA); On-site; USD 116,000 - 169,000; Full time

Benefits offered by this job

401(k) with company match

Mental health resources

Student loan repayment assistance

Adoption reimbursement

Pet insurance

Job summary

Vantor is seeking a Mid-Level Data Scientist in Reston, VA to automate data workflows, clean large datasets, and provide reliable data for analytics and modeling.

The role requires a TS/SCI clearance, 5 years of experience, and strong Python/SQL skills. You will work with Spark, Hadoop, and cloud data pipelines, building dashboards and contributing to mission-focused data products in a collaborative environment.

Qualifications

• Bachelor's degree required; 5 years data science/analytics/engineering experience acceptable with degree substitution.
• Proficiency in Python and SQL; familiarity with R is a plus.
• Experience with Pandas and PySpark for data wrangling; API/batch processing experience.

Responsibilities

• Collaborate with senior data scientists to prepare, clean, and process structured and unstructured datasets.
• Automate ETL workflows and streamline repetitive data preparation tasks using Python, SQL, and scripting tools.
• Operate in big data ecosystems using Spark or Hadoop or cloud-native equivalents like AWS Glue, Azure Synapse, Databricks.
• Assist in developing and deploying data pipelines with data engineering and DevOps teams.
• Build dashboards and visualizations to support exploratory analysis and reporting.

Skills

Python

SQL

Pandas

PySpark

Tableau

Cloud platforms

ETL scripting

Data wrangling

TS/SCI clearance

Education

Bachelor's degree in data science, CS, engineering, statistics, GIS, or related field

Tools

Spark

Hadoop

AWS Glue

Azure Synapse

Databricks

Clairvoyant

Job description

Vantor is seeking a Mid-Level Data Scientist in Reston, VA to automate data workflows, clean large datasets, and provide reliable data for analytics and modeling.

The role requires a TS/SCI clearance, 5 years of experience, and strong Python/SQL skills. You will work with Spark, Hadoop, and cloud data pipelines, building dashboards and contributing to mission-focused data products in a collaborative environment.