Scientist - Data (Junior) - Quadrant, Inc.
Reston, VA 20190
About the Job
Data Scientist
Reston, VA
MUST:
Experienced Data Scientist
2+ years of experience programming languages such as Python or R for data manipulation, analysis, and modeling
2+ experience working on Data Analytics platforms like Alteryx, Altair, RapidMiner, Knime etc, including developing and creating workflows
Experience with the creation of workflows for various projects, troubleshooting performance issues, optimizing workflows for large datasets, and providing guidance on how to handle large datasets efficiently
Proficient in creating documentation related to design documents, testing, handover and walk-through documents
Experience with data preprocessing, feature engineering, and data cleaning techniques
Basic knowledge of SQL for data querying and manipulation
Knowledge of HIPAA, GDPR, CPRA, and other data privacy regulations
Knowledge of cloud platforms, such as AWS or Azure, and experience working with big data technologies are preferred
Excellent analytical, interpersonal and leadership skills along with excellent oral and written communication skills
Able to collaborate effectively with multiple teams
Willing to learn and implement new technologies
Bachelor's degree in Data Science, Computer Science, Statistics, or a related field required
DUTIES:
Assist in data collection, preprocessing, and cleaning to ensure data quality and usability for analysis
Perform exploratory data analysis to identify patterns, trends, and relationships in the data
Assist in developing and maintaining data pipelines and workflows for data ingestion, transformation, and analysis
Stay abreast of the latest data science techniques, tools, and methodologies, and apply them to enhance analytics capabilities
Collaborate with data engineering and IT teams to ensure seamless integration and availability of data for analysis
Contribute to the development and improvement of data science workflows and best practices
Document and communicate the methodology, assumptions, and limitations of data models and analyses
Data Quality Assurance: Regularly check data sources for integrity and accuracy
Quadrant is an affirmative action/equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, status as a protected veteran, or status as an individual with a disability.
Reston, VA
MUST:
Experienced Data Scientist
2+ years of experience programming languages such as Python or R for data manipulation, analysis, and modeling
2+ experience working on Data Analytics platforms like Alteryx, Altair, RapidMiner, Knime etc, including developing and creating workflows
Experience with the creation of workflows for various projects, troubleshooting performance issues, optimizing workflows for large datasets, and providing guidance on how to handle large datasets efficiently
Proficient in creating documentation related to design documents, testing, handover and walk-through documents
Experience with data preprocessing, feature engineering, and data cleaning techniques
Basic knowledge of SQL for data querying and manipulation
Knowledge of HIPAA, GDPR, CPRA, and other data privacy regulations
Knowledge of cloud platforms, such as AWS or Azure, and experience working with big data technologies are preferred
Excellent analytical, interpersonal and leadership skills along with excellent oral and written communication skills
Able to collaborate effectively with multiple teams
Willing to learn and implement new technologies
Bachelor's degree in Data Science, Computer Science, Statistics, or a related field required
DUTIES:
Assist in data collection, preprocessing, and cleaning to ensure data quality and usability for analysis
Perform exploratory data analysis to identify patterns, trends, and relationships in the data
Assist in developing and maintaining data pipelines and workflows for data ingestion, transformation, and analysis
Stay abreast of the latest data science techniques, tools, and methodologies, and apply them to enhance analytics capabilities
Collaborate with data engineering and IT teams to ensure seamless integration and availability of data for analysis
Contribute to the development and improvement of data science workflows and best practices
Document and communicate the methodology, assumptions, and limitations of data models and analyses
Data Quality Assurance: Regularly check data sources for integrity and accuracy
Source : Quadrant, Inc.