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)