Data Scientist: AI/ML & Data Pipeline Innovator

Avalore, LLC; Springfield (VA); On-site; USD 175,000 - 210,000; Full time

Benefits offered by this job

Health care plan (Medical, Dental &amp

Retirement plan (401k)

Life Insurance

Paid Time Off

Disability - Short/Long Term

Training & Development

Employee Assistance Program

Job summary

Avalore, LLC is seeking a Data Scientist in Virginia to perform advanced data analysis, build impactful visualizations, and create software to monitor data pipelines. The role requires expertise in data manipulation, AI/ML technologies, and databases, with the ability to deliver actionable insights from complex datasets.

Responsibilities include ETL processing, working with geospatial data and formats like JSON/XML, and applying NLP or CV-related techniques as needed.

Qualifications

• Strong background in data analysis using statistical methods.
• Experience with AI/ML technologies and data systems.
• Proficiency in Python and data manipulation/ETL processes.
• Ability to develop visualizations and processing for diverse file types (JSON, XML, geospatial).

Responsibilities

• Conduct data analysis using statistical and quantitative methods to extract insights.
• Develop visualizations to communicate results to stakeholders.
• Design and implement software to monitor and manage data pipelines.
• Process diverse file formats (geospatial, JSON, XML) for analysis.
• Perform ETL and leverage SQL and NoSQL databases.
• Apply AI/ML techniques to solve complex data problems.

Skills

Data analysis

Python

AI/ML

Visualization

ETL

SQL

NoSQL

Geospatial data

JSON/XML processing

Data manipulation

Tools

Python

Job description

Avalore, LLC is seeking a Data Scientist in Virginia to perform advanced data analysis, build impactful visualizations, and create software to monitor data pipelines. The role requires expertise in data manipulation, AI/ML technologies, and databases, with the ability to deliver actionable insights from complex datasets.

Responsibilities include ETL processing, working with geospatial data and formats like JSON/XML, and applying NLP or CV-related techniques as needed.