Mid-Level Data Scientist

MAXAR TECHNOLOGIES, INC.; Reston, Northern (VA, KY); Hybrid; USD 116,000 - 169,000; Full time

Benefits offered by this job

401(k) with company match

Mental health resources

Student loan repayment assistance

Pet insurance

Job summary

Vantor in Reston, VA is seeking a Mid-Level Data Scientist to automate data workflows, clean large datasets, and provide reliable data for analytics and modelling. The role requires an active TS/SCI clearance and the ability to work in a sensitive government domain, with on-site work in Reston.

You will collaborate with senior data scientists, build ETL pipelines with Python and SQL, leverage Spark/Hadoop and cloud services, and develop dashboards in Tableau while maintaining thorough

Qualifications

• Active TS/SCI clearance and willing/able to obtain CI polygraph.
• 5+ years of professional experience in data science, analytics, or data engineering.
• Bachelor’s degree in data science, computer science, engineering, GIS, or related field; degree may be substituted with 2 years of experience.
• Proficiency in Python and SQL; familiarity with R is a plus.
• Experience with data wrangling libraries (pandas, PySpark) and working with APIs or batch processing tools.
• Experience with SQL and relational databases.
• Understanding of data modelling, metadata management, and data governance principles.
• Proficiency with Tableau or similar dashboard tools.
• Exposure to cloud platforms such as AWS, Azure, or GCP, especially in data-related services.
• Exposure to large-scale data ecosystems and ETL workflows.

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 cloud-native equivalents (AWS Glue, Azure Synapse, Databricks).
• Assist in developing and deploying data pipelines with data engineering and DevOps teams.
• Implement basic statistical analyses, visualisations, and reporting to support analysis and hypothesis validation.
• Maintain detailed documentation of data preparation methods, scripts, and pipeline configurations.
• Support integration of data into downstream modelling and LLM/NLP workflows.
• Contribute to operationalising 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/training datasets.

Skills

Python

SQL

Pandas

PySpark

APIs

Tableau

Cloud (AWS/Azure/GCP)

Data wrangling

Big data processing

Documentation

Education

Bachelor's degree in data science, computer science, engineering, GIS or related

Master's degree in a technical field (preferred)

Tools

Spark

Hadoop

AWS Glue

Azure Synapse

Databricks

Clairvoyant

Docker

Kubernetes

Job description

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.

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. Employment for cleared roles is contingent upon verification of clearance status. 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 TS/SCI level with CI Polygraph. Vantor is seeking a Mid‑Level Data Scientist to play a key support role within the data science team, responsible for automating data workflows, cleaning and preparing large‑scale datasets, and ensuring that senior data scientists have reliable, well‑structured data for advanced analytics and modelling. This position requires strong technical skills in data wrangling, scripting, and big data processing frameworks. The ideal candidate is comfortable working in modern cloud environments, has familiarity with containerisation, and is capable of handling data pipelines independently, with some exposure to tools like Clairvoyant for orchestration or pipeline development. This project supports a hard and deeply buried target mission set, providing critical analytic insights to government stakeholders. Success depends on the development of accurate, scalable, and mission‑tailored data solutions that enable timely and informed decision‑making. The work directly impacts national security objectives by transforming complex data into actionable intelligence in a highly specialised and sensitive domain.

Responsibilities:

• This position is full time onsite in Reston, VA.
• 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 tools such as 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, visualisations, 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 modelling and LLM/NLP workflows.
• Contribute to operationalising 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.

Minimum Qualifications:

• Current/active TS/SCI security clearance and be willing and able to obtain CI polygraph.
• 5 years of professional experience in data science, analytics, or data engineering roles.
• 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 modelling, 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.

Preferred Qualifications:

• Master’s degree in a technical field (e.g., Data Science, Computer Science, Engineering).
• Experience using Clairvoyant or similar orchestration platforms to manage and monitor data pipelines.
• Familiarity with container orchestration tools like Docker, Rancher, or Kubernetes.
• Basic knowledge of LLM and NLP concepts, including using pre‑trained models for simple tasks like summarisation or keyword extraction.
• Basic familiarity with GIS tools and data.
• Experience with graph data science algorithms and graph analytics.
• Knowledge of enterprise architecture, metadata standards, or master data management.
• Experience working in agile teams or cross‑functional technical environments.
• Understanding of responsible AI practices and basic data ethics.

Pay Transparency:

To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate’s experience, expertise, and alignment with the role.

The base pay for this position within the Washington, DC metropolitan area is: $116,000.00 - $154,000.00 - $169,400.00 annually. For all other states, we use geographic cost of labour as an input to develop market‑driven ranges for our roles, and as such, each location where we hire may have a different range.

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

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, colour, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.

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 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, colour, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law. We also provide reasonable accommodations for applicants with disabilities in compliance with federal and state laws. If you need assistance with the online application or hiring process, please email [e-mail].