Remote Data Scientist - REMOTE
About The Position
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Remote Data Scientist. In this role, you will spearhead the transformation of legacy logistics analysis tools into modern interfaces, creating a user-centric data and analytics service. Your work will directly support a federal program management office, contributing to improved decision-making and operational efficiency in logistics and supply chains. Although this position can be fully remote, candidates local to the Dayton, OH area may have hybrid opportunities. Your expertise will drive innovation and enhance workflows in an impactful environment.
Requirements
- Bachelor's degree in a quantitative field such as Operations Research, Industrial Engineering, Supply Chain Management, Mathematics, Statistics, or a related discipline.
- 3+ years of demonstrated experience applying data science/analytics in a logistics/supply environment.
- Experience developing interactive data visualizations (e.g. Qlik, Power Platforms, Tableau, Dash, Shiny).
- Strong background in statistical analysis, forecasting, and operations research techniques.
- Experience working with complex supply chain datasets like order management and inventory.
- Familiarity with cloud computing platforms, data warehousing, and database management.
- Excellent problem-solving, critical thinking skills, and strong attention to detail.
- Outstanding communication skills â both verbal and written.
- Ability to adapt to changing supply chain priorities and disruptions.
- Active security clearance at the SECRET level; US citizenship is required.
Responsibilities
- Develop automated data analysis workflows to increase productivity for logistics and supply chain planning teams.
- Implement data extraction, cleaning, and integration processes to provide up-to-date logistics data for optimization models and decision support applications.
- Lead small teams in creating ETL pipelines from various logistics data sources.
- Utilize advanced statistical and machine learning techniques to extract insights from logistics and supply chain data.
- Develop and maintain data to enable supply chain network visibility, reporting, and analysis.
- Implement logistics systems data quality control processes through programming.
- Identify and address data quality issues and discrepancies.
- Process, cleanse, and verify the integrity of data to ensure accurate analysis.
Benefits
- Competitive salary range of $92,075.4 - $158,138.39.
- Flexible work hours and remote work options.
- Opportunities for professional development and training.
- Collaborative team environment focused on innovation.
- Impactful work supporting federal programs.
- Health and wellness benefits.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
