Remote Data Scientist - Geospatial & Time-Series

Vantor Holdings, Inc.; United States; Remote; USD 100,000 - 135,000; Full time

Benefits offered by this job

401(k) with company match

Adoption reimbursement

Pet insurance

Student loan repayment

Job summary

Vantor is seeking a Data Scientist to develop statistical and machine learning models for the FALCON initiative. This role supports mission partners by building data pipelines, analytics, and simulations to inform decisions in a remote-friendly U.S. environment.

You will work with engineers, data scientists, and stakeholders to transform diverse data into actionable insight, apply ML to time series and geospatial data, and contribute to a culture of rigorous experimentation and rapid iteration.

Qualifications

• US citizenship required.

Responsibilities

• Design analytic solutions to meet customer needs.
• Enhance analytic solutions for quality and performance.
• Integrate data from multiple sources to create a common operating picture.
• Select and implement statistical analyses and scoring metrics.
• Create training and test datasets for algorithms.
• Perform data processing, cleansing, and validation.
• Develop ETL functions.
• Produce analytic reports and presentations for stakeholders.
• Identify data visualization needs for analysis and UI.
• Perform feature engineering, classifier optimization, forecasting, and anomaly detection.
• Interface with stakeholders to decompose data science needs.
• Document data science processes, results, and approach.

Skills

Verbal communication

Written communication

Time management

Remote collaboration

Education

Bachelor’s degree in Data Science/Analytics/CS/Physics/Math

Tools

Python

Pandas

Numpy

Scikit-learn

Matplotlib

SciPy

PostgreSQL

HDFS

Jira

Confluence

Git

PyTorch

Keras

TensorFlow

Job description

Vantor is seeking a Data Scientist to develop statistical and machine learning models for the FALCON initiative. This role supports mission partners by building data pipelines, analytics, and simulations to inform decisions in a remote-friendly U.S. environment.

You will work with engineers, data scientists, and stakeholders to transform diverse data into actionable insight, apply ML to time series and geospatial data, and contribute to a culture of rigorous experimentation and rapid iteration.