Mid- Level Data Scientist
About The Position
Full Visibility is seeking a Mid-Level Data Scientist to work in Huntsville, AL. This role is responsible for utilizing big data technologies and knowledge of data science models to analyze large amounts of data and create valuable insights. The position involves finding and designing new approaches to handling, analyzing, and using large volumes of data sets, exploring fundamental issues with data handling, search, and retention, and solving complex data and storage issues. Additionally, the role requires designing new software coding to improve data search processes, designing, testing, and validating the quality of data and data processes, and analyzing and reporting results with actionable recommendations. This position focuses more on the scientific aspects of data rather than visualization and analytics.
Requirements
- Minimum of eight (8) years of experience in a related field.
- Demonstrated experience with data analytics, data science, machine learning, and predictive modeling.
- Active Top Secret Clearance/SCI Eligibility.
- Successful completion of a Counterintelligence (CI) Polygraph.
- Proficiency in Python.
- Proficiency in Apache Spark.
- Proficiency in R.
- Proficiency in Databricks.
- Experience with Natural Language Processing (NLP).
- Experience with Large Language Models (LLMs).
- Experience with Machine Learning (ML).
- Experience with Predictive and Decision Modeling.
- Experience with Amazon Web Services (AWS).
- Experience with Data Wrangling and Data Preparation.
- Bachelor’s degree in a related field, or in lieu of a degree, an additional four (4) years of relevant experience.
Responsibilities
- Utilizing big data technologies and knowledge of data science models to analyze large amounts of data and create valuable insights.
- Finding and designing new approaches to handling, analyzing, and using large volumes of data sets.
- Exploring fundamental issues with data handling, search, and retention.
- Solving complex data and storage issues.
- Designing new software coding to improve data search processes.
- Designing, testing, and validating the quality of the data and data processes.
- Analyzing and reporting results with actionable recommendations.
Benefits
- Full Employee Approach (considering each employee's professional and personal well-being)
- Focus on employee development, success, and morale
- Best Place to Work recognition (Washington Business Journal)
- Inc. 5000 Fastest-Growing Private Companies in America recognition
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
