Data Scientist (TS/SCI)

Vantor Holdings, Inc.; Herndon (VA); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

robust 401(k) with company match

mental health resources

student loan repayment assistance

adoption reimbursement

pet insurance

Job summary

Vantor is seeking an experienced Data Scientist to support analytics capabilities for a large-scale U.S. Government data platform.

You will apply statistical analysis, machine learning, predictive modeling, and other techniques to extract insights from complex datasets for mission-critical needs. You will collaborate with data engineers, software developers, and government stakeholders to translate requirements into scalable, production-oriented analytics workflows while communicating findings

Qualifications

• U.S. Citizen with TS/SCI clearance (CI poly).
• Bachelor's degree with 8+ years in a technical role.
• Experience in data science, analytics, ML, or related discipline.
• Strong Python, SQL, and Elasticsearch experience.
• Willingness to onsite 90% at Herndon, VA or Westminster, CO.

Responsibilities

• Design, develop, implement, and evaluate statistical models and ML solutions.
• Analyze large, diverse datasets to identify patterns and insights.
• Develop, train, validate, and optimize ML models; assess performance.
• Operationalize analytical models with data engineers and software developers.
• Translate requirements and communicate findings to stakeholders.

Skills

Python

SQL

Elasticsearch

Pandas

NumPy

SciPy

Scikit-learn

Education

Bachelor's degree in data science, computer science, statistics, applied mathematics

Tools

Apache Spark

Hadoop

Kafka

TensorFlow

PyTorch

XGBoost

AWS

Azure

GCP

Tableau

Kibana

Power BI

Plotly

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.

Please review the job details below.

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).

This position requires an active U.S. Government Security Clearance at the TS/SCI level.

We are seeking an experienced Data Scientist to support the development, implementation, and operationalization of advanced analytics capabilities for a large-scale U.S. Government data analytics platform. The successful candidate will apply statistical analysis, machine learning, predictive modeling, and other advanced analytical techniques to extract meaningful insights from large, complex, and diverse datasets in support of mission-critical government requirements.

The Data Scientist will work closely with data engineers, software developers, analysts, and government stakeholders to translate operational and mission needs into analytical solutions. Responsibilities will include developing and evaluating analytical models, identifying patterns and trends, designing experiments, and integrating data science capabilities into scalable, production-oriented analytics workflows.

Responsibilities

• Advanced Analytics and Modeling: Design, develop, implement, and evaluate statistical models, machine learning algorithms, and predictive analytics solutions to address complex analytical and mission requirements.
• Data Exploration and Analysis: Analyze large, complex, and diverse datasets to identify patterns, trends, relationships, anomalies, and actionable insights using appropriate statistical and computational techniques.
• Machine Learning and Model Development: Develop, train, validate, and optimize machine learning models; assess model performance, accuracy, scalability, and operational suitability.
• Analytical Solution Integration: Collaborate with data engineers and software developers to operationalize analytical models and integrate data science capabilities into the broader analytics platform.
• Analytical Leadership and Communication: Translate mission and business requirements into analytical approaches; communicate findings, methodologies, and recommendations to technical teams, government stakeholders, and senior leadership.

Minimum Qualifications

• Must be a U.S. Citizen with an active TS/SCI clearance (With willingness to obtain a CI poly)
• Bachelor's degree in data science, computer science, statistics, applied mathematics, or related quantitative discipline with 8+ years of total professional experience in a technical support role
• Demonstrated experience in data science, advanced analytics, statistical modeling, machine learning, or a related technical discipline.
• Strong proficiency in Python, SQL, and Elastic with experience using Elasticsearch and analytical computing libraries such as Pandas, NumPy, SciPy, and Scikit-learn.
• Demonstrated experience developing, validating, and applying statistical models, machine learning algorithms, and predictive analytics techniques to large and complex datasets.
• Willingness to work onsite at least 90% or as needs dictate in either Herndon, VA or Westminster, CO.

Preferred Qualifications

• Advanced machine learning techniques, such as deep learning, natural language processing (NLP), large language models (LLMs), anomaly detection, classification, or clustering
• Big data technologies and distributed computing frameworks, such as Apache Spark, Hadoop, or Kafka
• Machine learning frameworks, such as TensorFlow, PyTorch, or XGBoost
• Cloud-based analytics and machine learning services, such as AWS, Microsoft Azure, or Google Cloud Platform
• MLOps, including model deployment, monitoring, experimentation, and lifecycle management
• Data visualization and reporting tools, such as Tableau, Kibana, Power BI, or Plotly
• Geospatial, graph, or time-series analytics
• Responsible AI, explainable AI (XAI), model governance, and evaluation of model bias, robustness, or reliability
• Government, defense, intelligence, or other regulated environments

Pay Transparency

In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The successful candidate’s starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range. The Base Pay For This Position Within California, Colorado, Hawaii, New Jersey, The Washington, DC Metropolitan Area, And For All Other States Is $140,000.00 - $200,000.00

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.

• robust 401(k) with company match
• mental health resources
• student loan repayment assistance
• adoption reimbursement
• pet insurance

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