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Junior Data Scientist
Virginia, United States
Contract
Posted 3 weeks ago
Entry level
On-site
MLData ScienceEngineering and Information TechnologyStaffing and Recruiting
Job Description
Overview
We are seeking a talented Junior Data Scientist to join our team, where you will play a crucial role in analyzing and preparing data for modeling, developing advanced algorithms, and implementing statistical and data mining techniques. You will collaborate with clients and stakeholders to integrate and communicate analysis findings, and stay up-to-date with emerging datasets and technologies.
Education
Ability to obtain a VA Public Trust clearance is required.
Responsibilities
We are seeking a talented Junior Data Scientist to join our team, where you will play a crucial role in analyzing and preparing data for modeling, developing advanced algorithms, and implementing statistical and data mining techniques. You will collaborate with clients and stakeholders to integrate and communicate analysis findings, and stay up-to-date with emerging datasets and technologies.
Education
- Bachelor's degree and 1+ years of data analytics experience or Master's degree
Ability to obtain a VA Public Trust clearance is required.
Responsibilities
- Analyzing and preparing data needed for modeling
- Developing advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner
- Implementing statistical and data mining techniques (e.g. hypothesis testing, machine learning, and retrieval processes) on a large amount of data to identify trends, patterns, and other relevant information
- Collaborating with clients and other stakeholders to effectively integrate and communicate analysis findings
- Evaluating emerging datasets and technologies that may contribute to our existing analytical platforms
- Hands-on experience preparing data for advanced analytics
- Hands-on experience on advanced analytics concepts and algorithms (e.g. Regression analysis, Logistic Regression/Decision Tree, Monte Carlo methods, Survival Analysis, Simulation, etc.)
- Exposure to tools – Python and R
- Fraud or Anomaly Detection Experience
- Knowledge of databases, data modeling, data normalization
- Tableau
- R Shiny
- Experience on cloud platforms, preferably in AWS or GCP or both
- Experience with DevOps tools and workflows such as Git, GitHub, Jira, Phabricator, Jenkins, or equivalents
Source: LinkedIn
52 applicants
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