Overview
On Site
Contract - W2
Contract - Independent
Skills
Python
R
Data Science
SQL
C++
Scala
Java
Statistics
Mathematics
Probability
Testing
Regression Analysis
Linear Algebra
Calculus
Artificial Intelligence
Algorithms
Management
Deep Learning
Machine Learning (ML)
scikit-learn
TensorFlow
PyTorch
Data Wrangling
Database Administration
Database
NoSQL
Data Manipulation
Data Visualization
matplotlib
Tableau
Big Data
Apache Hadoop
Apache Spark
Cloud Computing
Amazon Web Services
Microsoft Azure
Google Cloud
Google Cloud Platform
Natural Language Processing
Language Models
Job Details
Data Engineer with C++
Washington, DC - hybrid
3-6 month contract
$65-75/hr W2
Technical Skills:
Programming:
Proficiency in Python and R is crucial. These languages are the workhorses of data science.
Strong SQL skills for database management and data retrieval.
C++ knowledge/experience
Familiarity with other languages like Scala or Java for big data processing can be beneficial.
Statistical Analysis and Mathematics:
A solid understanding of statistical concepts like probability, hypothesis testing, and regression analysis.
Knowledge of linear algebra, calculus, and other mathematical foundations.
Ability to apply statistical methods to extract meaningful insights from data.
Machine Learning and Artificial Intelligence (AI):
Expertise in various machine learning algorithms (e.g., supervised, unsupervised, reinforcement learning).
Deep learning knowledge for complex tasks like image and natural language processing.
Experience with machine learning frameworks like scikit-learn, TensorFlow, and PyTorch.
Data Wrangling and Database Management:
Ability to clean, preprocess, and transform data from various sources.
Experience with database systems (e.g., relational, NoSQL).
Proficiency in data manipulation tools and techniques.
Data Visualization:
Ability to create clear and compelling visualizations using tools like Matplotlib, Seaborn, and Tableau.
Skill in communicating data insights effectively through visual representations.
Big Data Technologies:
Familiarity with big data platforms like Hadoop and Spark. (optional)
(essential)Knowledge of cloud computing platforms (e.g., AWS, Azure, Google Cloud).
Natural Language Processing (NLP):
Understanding of NLP techniques for text analysis, sentiment analysis, and language modeling.
#M2
Ref: #850-Rockville (ALTA IT)
Washington, DC - hybrid
3-6 month contract
$65-75/hr W2
Technical Skills:
Programming:
Proficiency in Python and R is crucial. These languages are the workhorses of data science.
Strong SQL skills for database management and data retrieval.
C++ knowledge/experience
Familiarity with other languages like Scala or Java for big data processing can be beneficial.
Statistical Analysis and Mathematics:
A solid understanding of statistical concepts like probability, hypothesis testing, and regression analysis.
Knowledge of linear algebra, calculus, and other mathematical foundations.
Ability to apply statistical methods to extract meaningful insights from data.
Machine Learning and Artificial Intelligence (AI):
Expertise in various machine learning algorithms (e.g., supervised, unsupervised, reinforcement learning).
Deep learning knowledge for complex tasks like image and natural language processing.
Experience with machine learning frameworks like scikit-learn, TensorFlow, and PyTorch.
Data Wrangling and Database Management:
Ability to clean, preprocess, and transform data from various sources.
Experience with database systems (e.g., relational, NoSQL).
Proficiency in data manipulation tools and techniques.
Data Visualization:
Ability to create clear and compelling visualizations using tools like Matplotlib, Seaborn, and Tableau.
Skill in communicating data insights effectively through visual representations.
Big Data Technologies:
Familiarity with big data platforms like Hadoop and Spark. (optional)
(essential)Knowledge of cloud computing platforms (e.g., AWS, Azure, Google Cloud).
Natural Language Processing (NLP):
Understanding of NLP techniques for text analysis, sentiment analysis, and language modeling.
#M2
Ref: #850-Rockville (ALTA IT)
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.