Data Scientist - Spatial Analytics & Pipelines

Vantor; 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 in Reston, VA is seeking a Mid-Level Data Scientist to support mission-critical analytics, automating data workflows, cleaning large datasets, and delivering reliable data for advanced modeling. The role requires active TS/SCI clearance, experience with Python, SQL, Spark/Hadoop, and cloud platforms.

You will collaborate with senior data scientists and DevOps to deploy data pipelines and dashboards. This position is full-time onsite in Reston, offering a competitive benefits package and

Qualifications

• Active TS/SCI with ability to obtain CI polygraph.
• 5 years of professional data science/analytics experience.
• Bachelor’s degree in data science, computer science, engineering, statistics, GIS, or related discipline; degree may be substituted with an additional 2 yrs of experience.
• Proficiency in Python and SQL; familiarity with R is a plus.
• Experience with data wrangling libraries (e.g., pandas, PySpark) and working with APIs or batch processing tools.
• Experience working with SQL and relational databases.
• Understanding of data modeling, metadata management, and data governance principles.
• Proficient with Tableau or similar dashboard tools.
• Exposure to cloud platforms such as AWS, Azure, or GCP, especially in data-related services.
• Strong attention to detail and documentation practices.

Responsibilities

• Collaborate with senior data scientists to prepare, clean, and process structured and unstructured datasets for analysis.
• Automate ETL workflows and streamline repetitive data preparation tasks using Python, SQL, and scripting tools.
• Operate in big data ecosystems using Spark, Hadoop, or their cloud-native equivalents (e.g., AWS Glue, Azure Synapse, Databricks).
• Assist in the development and deployment of data pipelines in collaboration with data engineering and DevOps teams.
• Implement basic statistical analyses, visualizations, and reporting to support exploratory data analysis and hypothesis validation.
• Maintain detailed documentation of data preparation methods, scripts, and pipeline configurations.
• Support integration of data into downstream modeling and LLM/NLP workflows.
• Contribute to operationalizing data products, APIs, and internal data access tools.
• Build and maintain dashboards using Tableau or similar software.
• Gain exposure to knowledge management systems supported by LLMs and assist in tagging or curating training datasets for LLM models.

Skills

Python

SQL

Tableau

Data Wrangling

ETL

Data Pipelines

Documentation

Education

Bachelor's in CS/DS/Engineering

Master's degree (preferred)

Tools

Spark

Hadoop

AWS Glue

Azure Synapse

Databricks

Docker

Kubernetes

Clairvoyant

PySpark

Job description

Vantor in Reston, VA is seeking a Mid-Level Data Scientist to support mission-critical analytics, automating data workflows, cleaning large datasets, and delivering reliable data for advanced modeling. The role requires active TS/SCI clearance, experience with Python, SQL, Spark/Hadoop, and cloud platforms.

You will collaborate with senior data scientists and DevOps to deploy data pipelines and dashboards. This position is full-time onsite in Reston, offering a competitive benefits package and