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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Ardent Principles - **Location:** Washington, DC, United States - **Salary:** $130,000.0 - $260,000.0 - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Artificial Intelligence, Amazon Web Services, Apache HTTP Server, Confluence, JIRA, Cloud Computing, Information Engineering, Extract Transform Load (ETL), Data Systems, Web Development, Elasticsearch, Github, Apache Hive, PostgreSQL, Machine Learning, Neo4j, Node.Js, Open Source Technology, SQL Databases, Web Applications, Web Application Frameworks, Graphics Processing Unit (GPU), ReactJS, Apache Spark, Data Management, Kibana, Data Pipelines - **Published:** September 20, 2026 - **Apply:** https://www.dice.com/job-detail/557388d2-9f43-42f7-9483-a4d92ad34e1a ## About the Role Other skills and demonstrated experiences that are highly desired but not mandatory to perform the work, include working with: * Amazon Web Services certifications. * Sponsor A&A processes. * Working with a variety of the Sponsor's data systems and sources. * Knowledge in the Sponsor's Data Management principles and workflows. ## Description 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: * Working on OpenLake. * Navigating, developing, and deploying production ready data pipelines and web applications on OpenLake. * Developing AI/ML solutions that can answer key intelligence questions. * Uusing Elasticsearch, Neo4j, Kibana, JavaScript, Trino, Apache Hive, and Apache. * Leveraging Amazon Web Services for automation, app deployment, and resource management. * Leveraging GPUs for accelerated computing. * Working with junior data scientists, data engineers, and application developers. * Managing and developing system accreditation and security relevant documentation. * Working with multiple stakeholders. * Developing deliverables at scale, and not one-off solutions., * Working closely with the Sponsor's technical team (Data Scientists, Data Engineers, Application Developers, and Data Management Coordinators) to implement requirements as dictated by the Sponsor's GTM priorities. * Creating resilient data engineering pipelines that leverage open-source technologies such as, Trino, Iceberg, SQL, Postgres, Spark, Neo4j, Elasticsearch, Apache Hive and integrate seamlessly within OpenLake. * Developing robust web applications utilizing modem web frameworks such as React and Node on the Sponsor's OpenLake platform. * Providing technical guidance to the Sponsor's technical team on an ad-hoc basis. * Providing subject matter expertise on AI/ML, web application development, and ETL. * Ensuring that all technical development and content complies with the Sponsor's security policies and regulations. * Utilizing project management systems such as Confluence and JIRA to define and track requirements. * Maintaining all code, to include infrastructure, in GitHub, which can be readily accessible to the Sponsor. * Maintaining all cloud infrastructure and system accreditation associated with the OpenLake platform and production applications developed on the platform. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Debug a Kubernetes Operator](https://www.wearedevelopers.com/videos/487-debug-a-kubernetes-operator) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [Cyber Sleuth: Finding Hidden Connections in Cyber Data](https://www.wearedevelopers.com/videos/893-cyber-sleuth-finding-hidden-connections-in-cyber-data) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)