Data Scientist
Full TimeJob Overview
REQUIRED: Active TS/SCI with Full Scope Polygraph
LOCATION: Full-time, onsite in McLean, VA
Are you a highly skilled and results-driven Data Scientist passionate about building robust, scalable data ecosystems? We are looking for an experienced professional to be the backbone of our data strategy, focusing on infrastructure design, pipeline efficiency, and data quality.
We value clear communication, documented and reproducible work (Git, Jupyter Notebooks), and the ability to explain complex issues to stakeholders and junior colleagues.
LOCATION: Full-time, onsite in McLean, VA
Are you a highly skilled and results-driven Data Scientist passionate about building robust, scalable data ecosystems? We are looking for an experienced professional to be the backbone of our data strategy, focusing on infrastructure design, pipeline efficiency, and data quality.
We value clear communication, documented and reproducible work (Git, Jupyter Notebooks), and the ability to explain complex issues to stakeholders and junior colleagues.
With a competitive salary and industry-leading benefits, Ardent Principles offers more than just a job - we offer a career path filled with growth and opportunities. Join us and let's shape the future together!
Who We Are: We offer advanced services in data science, data engineering, software engineering, AI solutions, cybersecurity, staff augmentation, and IT program management.
Passionate Integrity, Driven by Excellence
"Ardent Principles" signifies our unwavering commitment to excellence, driven by a profound passion and a strict adherence to ethical values. We believe that happy employees make for happy clients. Our mission is to act as a bridge between satisfied clients and fulfilled employees, ensuring that your job and well-being are our top priorities because your satisfaction leads to the success of our clients.
"Ardent Principles" signifies our unwavering commitment to excellence, driven by a profound passion and a strict adherence to ethical values. We believe that happy employees make for happy clients. Our mission is to act as a bridge between satisfied clients and fulfilled employees, ensuring that your job and well-being are our top priorities because your satisfaction leads to the success of our clients.
Key Responsibilities
In this challenging yet rewarding role, you are an integral part of what brings our Company's mission to life. You must have the following required skills, certifications and demonstrated experience in and/or with:
- Data engineering, to include designing and building data infrastructure, developing data pipelines, transforming/preparing data, ensuring data quality and security, and monitoring/optimizing systems.
- Data management and integration, including designing and operating robust data layers for application development across local and cloud or web data sources.
- Work experience programming with Python
- Building scalable ETL and ELT workflows for reporting and analytics.
- General Linux computing and advanced bash scripting
- SQL
- Constructing complex multi-data source queries with database technologies such as PostgreSQL, MySQL, Neo4J or RDS
- Processing data sources containing structured or unstructured data
- Developing data pipelines with NiFi to bring data into a central environment
- Delivering results to stakeholders through written documentation and oral briefings
- Using code repositories such as Git
- Using Elastic and Kibana technologies
- Working with multiple stakeholders
- Documenting such artifacts as code, Python packages and methodologies
- Using Jupyter Notebooks
- Machine learning techniques including natural language processing
- Explaining complex technical issues to more junior data scientists, in graphical, verbal, or written formats
- Developing tested, reusable and reproducible work
- Work or educational background in one or more of the following areas: mathematics, statistics, hard sciences (e.g. Physics, Computational Biology, Astronomy, Neuroscience, etc.) computer science, data science, or business analytics
Highly Desired Qualifications
Other skills and demonstrated experiences that are highly desired but not mandatory to perform the work, include:
- Cloud services, such as AWS, as well as cloud data technologies and architecture.
- Using big data processing tools such as Apache Spark or Trino
- Machine learning algorithms
- Using container frameworks such as Docker or Kubernetes
- Using data visualizations tools such as Tableau, Kibana or Apache Superset
- Creating learning objectives and creating teaching curriculum in technical or scientific fields