Overview
On Site
USD 67.00 - 71.00 per hour
Full Time
Skills
Business Systems
Computer Science
Statistics
Mathematics
Statistical Models
Programming Languages
Python
R
Julia
MATLAB
Testing
Data Visualization
matplotlib
Tableau
Microsoft Power BI
Google Cloud
Google Cloud Platform
Version Control
Git
Software Development
Data Mining
Problem Solving
Conflict Resolution
Communication
Mentorship
Science
Clustering
Natural Language Processing
Computer Vision
Algorithms
FOCUS
Scalability
Machine Learning (ML)
Deep Learning
Artificial Intelligence
Information Systems
Cloud Computing
Big Data
Amazon Web Services
Microsoft Azure
Apache Hadoop
Apache Spark
Data Processing
Data Storage
Management
Modeling
Graph Theory
Research
Distributed Computing
Parallel Computing
Open Source
Data Science
TCM
DICE
Job Details
JOB TITLE: BUSINESS SYSTEMS ANALYST
JOB LOCATION: WASHINGTON, DC
WAGE RANGE*: 67.00-71.00 PER HOUR
JOB NUMBER: SAIJP00038111
REQUIRED EXPERIENCE:
Master's or PhD in Data Science, Computer Science, Statistics, Mathematics, or a related field.
5+ years of hands-on experience in data science and computer research, with at least 3 years working in a research-focused environment.
Advanced knowledge of machine learning algorithms, deep learning frameworks, and statistical modeling.
Proficiency in programming languages such as Python, R, Julia, or MATLAB for developing and testing models.
Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau, Power BI) to present insights effectively.
Strong understanding of big data technologies (e.g., Hadoop, Spark) and cloud platforms (AWS, Azure, Google Cloud).
Familiarity with NLP, computer vision, or other specialized techniques relevant to computer and information research.
Experience with version control systems (e.g., Git) and software development practices.
Strong background in applying data science to domains such as AI, computational research, data mining, or information systems.
Excellent problem-solving skills and the ability to think critically and analytically to address complex research challenges.
Strong verbal and written communication skills, with the ability to convey technical concepts to both technical and non-technical audiences.
Ability to work effectively in a multidisciplinary, collaborative environment and mentor junior researchers and scientists.
JOB DESCRIPTION
Lead data-driven research by applying sophisticated statistical, machine learning, and computational methods to analyze complex datasets related to computer and information science.
Develop and implement predictive models, classification algorithms, and clustering techniques to support research goals.
Apply natural language processing (NLP), computer vision, or other domain-specific algorithms as required by the research.
Design, develop, and optimize advanced algorithms that can process large-scale data efficiently, with a focus on performance and scalability.
Innovate and test new computational techniques to improve the accuracy and robustness of models for research applications.
Contribute to algorithmic advancements in the context of AI, machine learning, and deep learning.
Stay updated on the latest academic research and industry advancements in data science, AI, and information systems, and apply relevant findings to ongoing projects.
Work closely with data engineers to build and optimize data pipelines that facilitate the processing and analysis of large datasets.
Utilize cloud platforms and big data technologies (e.g., AWS, Azure, Hadoop, Spark) for efficient data processing and model deployment.
Design and implement robust data storage, retrieval, and management strategies for research datasets.
Create compelling data visualizations and reports that convey complex research findings in a clear and accessible manner to both technical and non-technical stakeholders.
Share knowledge of best practices in data science, modeling, and computational techniques within the organization.
Desirable Skills:
Experience with advanced topics in reinforcement learning, neural networks, or graph theory as they apply to computational research.
Familiarity with distributed computing and parallel processing techniques for handling large-scale datasets.
Contribution to open-source projects or participation in relevant data science communities.
Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities
* While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.
#Dice
JOB LOCATION: WASHINGTON, DC
WAGE RANGE*: 67.00-71.00 PER HOUR
JOB NUMBER: SAIJP00038111
REQUIRED EXPERIENCE:
Master's or PhD in Data Science, Computer Science, Statistics, Mathematics, or a related field.
5+ years of hands-on experience in data science and computer research, with at least 3 years working in a research-focused environment.
Advanced knowledge of machine learning algorithms, deep learning frameworks, and statistical modeling.
Proficiency in programming languages such as Python, R, Julia, or MATLAB for developing and testing models.
Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau, Power BI) to present insights effectively.
Strong understanding of big data technologies (e.g., Hadoop, Spark) and cloud platforms (AWS, Azure, Google Cloud).
Familiarity with NLP, computer vision, or other specialized techniques relevant to computer and information research.
Experience with version control systems (e.g., Git) and software development practices.
Strong background in applying data science to domains such as AI, computational research, data mining, or information systems.
Excellent problem-solving skills and the ability to think critically and analytically to address complex research challenges.
Strong verbal and written communication skills, with the ability to convey technical concepts to both technical and non-technical audiences.
Ability to work effectively in a multidisciplinary, collaborative environment and mentor junior researchers and scientists.
JOB DESCRIPTION
Lead data-driven research by applying sophisticated statistical, machine learning, and computational methods to analyze complex datasets related to computer and information science.
Develop and implement predictive models, classification algorithms, and clustering techniques to support research goals.
Apply natural language processing (NLP), computer vision, or other domain-specific algorithms as required by the research.
Design, develop, and optimize advanced algorithms that can process large-scale data efficiently, with a focus on performance and scalability.
Innovate and test new computational techniques to improve the accuracy and robustness of models for research applications.
Contribute to algorithmic advancements in the context of AI, machine learning, and deep learning.
Stay updated on the latest academic research and industry advancements in data science, AI, and information systems, and apply relevant findings to ongoing projects.
Work closely with data engineers to build and optimize data pipelines that facilitate the processing and analysis of large datasets.
Utilize cloud platforms and big data technologies (e.g., AWS, Azure, Hadoop, Spark) for efficient data processing and model deployment.
Design and implement robust data storage, retrieval, and management strategies for research datasets.
Create compelling data visualizations and reports that convey complex research findings in a clear and accessible manner to both technical and non-technical stakeholders.
Share knowledge of best practices in data science, modeling, and computational techniques within the organization.
Desirable Skills:
Experience with advanced topics in reinforcement learning, neural networks, or graph theory as they apply to computational research.
Familiarity with distributed computing and parallel processing techniques for handling large-scale datasets.
Contribution to open-source projects or participation in relevant data science communities.
Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities
* While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.
#Dice
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.