Data Scientist
- Compensation
- Not disclosed
- Location
- McLean, VA, US
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 1+ years
- Category
- Data science
- Posted
Skills
Must have
- Ability to hold a position of public trust with the US government.
- 5+ years industry experience developing ML/AI solutions and a passion for solving complex problems.
- 3+ years direct experience in Data Modeling and Data Solution Development
- 1+ year performing queue modeling and survival analysis
- Bachelor's degree in computer science, information systems, engineering, business, or a scientific or technical discipline
- Demonstrated experience manipulating structured and unstructured data for analysis
- Strong programming skills in SQL, Python, R, Scala, Java, or similar language
- Experience using Python to manipulate large data sets
- Experience with DevSecOps, as it applies to data science
- Demonstrated experience with TensorFlow, Keras, or other Deep Learning tools and frameworks
- Demonstrated experience in big data systems including Hadoop, Spark, Scala
- Data visualization skills in Tableau, Power BI, D3, ArcGIS, or similar
- Experience with Git, Bash, Unix commands
- Experience in Cloud analytics (AWS, Azure, or GCP) with tools such as AWS SageMaker, Azure HDInsight, etc.
- Familiarity with Flask is a plus
- Knowledge of DBOps and MLOps framework is a plus
- Experience with Solr, Elasticsearch, or similar tool is a plus
Full description
Overview
We are looking for seasoned Data Scientist to work with our existing team of Data Architects and Developers to develop strategies, create ML/AI solutions, and deliver results. We are looking for a more than just a "Data Scientist", but a technologist with excellent communication and customer service skills and a passion for data and problem solving.
Contributions
- Experience modeling on structured and unstructured data sets
- Experience with exploratory data analysis
- Experience in feature engineering
- Experience in data visualization
- Experience with Deep Learning methodology and state of the art libraries
- Knowledge of data collection methods, capabilities, and tasking process
- Ability to leverage multiple data management tools to organize relevant information and make decisions
- Support an Agile software development lifecycle
- You will contribute to the growth of our Data Exploitation Practice!
Qualifications
- Ability to hold a position of public trust with the US government.
- 5+ years industry experience developing ML/AI solutions and a passion for solving complex problems.
- 3+ years direct experience in Data Modeling and Data Solution Development
- 1+ year performing queue modeling and survival analysis
- Bachelor's degree in computer science, information systems, engineering, business, or a scientific or technical discipline
- Demonstrated experience manipulating structured and unstructured data for analysis
- Strong programming skills in SQL, Python, R, Scala, Java, or similar language
- Experience using Python to manipulate large data sets
- Experience with DevSecOps, as it applies to data science
- Demonstrated experience with TensorFlow, Keras, or other Deep Learning tools and frameworks
- Demonstrated experience in big data systems including Hadoop, Spark, Scala
- Data visualization skills in Tableau, Power BI, D3, ArcGIS, or similar
- Experience with Git, Bash, Unix commands
- Experience in Cloud analytics (AWS, Azure, or GCP) with tools such as AWS SageMaker, Azure HDInsight, etc.
- Familiarity with Flask is a plus
- Knowledge of DBOps and MLOps framework is a plus
- Experience with Solr, Elasticsearch, or similar tool is a plus