Data Scientist (Data Engineer)

Ardent Principles, Inc

33d•Onsite

About The Position

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.

Requirements

Active TS/SCI with Full Scope Polygraph
Work experience programming with Python
General Linux computing and advanced bash scripting
SQL
Using code repositories such as Git
Using Elastic and Kibana technologies
Working with multiple stakeholders
Using Jupyter Notebooks
Machine learning techniques including natural language processing
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

Nice To Haves

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

Responsibilities

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.
Building scalable ETL and ELT workflows for reporting and analytics.
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
Documenting such artifacts as code, Python packages and methodologies
Explaining complex technical issues to more junior data scientists, in graphical, verbal, or written formats
Developing tested, reusable and reproducible work

Benefits

Highly Competitive Salary: Recognizing and rewarding your expertise and contributions.
Generous Paid Time Off: Providing ample time for rest, relaxation, and personal pursuits.
Dedicated Training Budget: Supporting continuous learning and professional development.
100% Employer-Covered Family Vision, Dental, and Health Insurance: Ensuring comprehensive health coverage for you and your family.
100% Employer-Covered Life and Disability Insurance: Offering financial security and peace of mind.
401(k) Plan with a 6% Employer Match: Helping you plan and save for a secure retirement, with 100% vesting from day one.
11 Paid Government Holidays: Observing national holidays to ensure time off with family and friends.
Spot Bonuses for Exceptional Performance: Rewarding outstanding contributions and achievements.

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