Data Functional Expert

JPI•Washington, DC

just now•Hybrid

About The Position

JPI is hiring a Senior Data Practitioner with 10 years of experience to assist the United States Coast Guard (USCG) Office of Data and Analytics with end-to-end data lifecycle support. This role requires a broad range of capabilities including data architecture and integration, data engineering (e.g., building data pipelines and ingest patterns to move raw data from data producers to an enterprise data ecosystem and validating data for enterprise use), data science (modeling and development to support operational initiatives), and analytics development. The role requires a unique blend of technical expertise, along with strong project management and leadership skills to drive the project. The candidate will lead a team providing support to a federal client. They will work closely with developers, domain SMEs, software engineers, and data architects within JPI and with the USCG client. The Senior Data Practitioner will provide thought leadership and direction for improvements to data architecture and engineering and data reporting and visualization efforts, while implementing sophisticated and efficient methods and tools for delivery to solve large scale and complex enterprise-wide problems. JPI is hiring a Technical Lead to join a hybrid team who can work onsite, as needed. This is a W2 opportunity. At JPI, we strive to empower our people and excel for our clients. We hold ourselves to high standards and prioritize our values of being one team with unwavering integrity. We are motivated by our mission and driven to deliver solutions that exceed expectations. Will you join us?

Requirements

BA/BS with 10 years of experience; or Master’s degree with 8 years of experience.
PMP certification, Certified Scrum Master, Certified Scrum Product Owner, DHS mid-level Project Management certification, or equivalent certification.
Must hold active Public Trust, or other security clearance.
Technical background in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Statistics, or other quantitative and computational sciences.
Experience creating, managing, and troubleshooting complex data flows.
A compelling track record of Data Science / Engineering expertise, designing and deploying large scale technical solutions that deliver tangible, ongoing value.
Experience with core ML frameworks, including SKLearn, XGBoost, TensorFlow, PyTorch, and MLlib.
Experience with modern programming languages, including Python, Scala, R, C++, and Java.
Experience with data tools and frameworks, including MLFlow, Spark, Kafka, Hive, and Hadoop.
Experience in crafting database / data warehouse solutions in cloud (Preferably AWS. Alternatively Azure, GCP).
Key must have skill sets – Python, SQL, Databricks, AWS Data Services, Qlik, PowerBI
Strong written and verbal communication skills to interact with internal and external stakeholders.
Proficiency in the following Microsoft applications: Word, Excel, PowerPoint, Outlook.
Experience building and maintaining trusting client relationships and prioritizing demands.
Must be a self-starter with the ability to work effectively independently.
Proven ability to support and coordinate multiple projects simultaneously in a deadline-driven process.
Ability to work remotely and onsite as needed at USCG HQ in Washington, DC.
Must hold U.S. Citizenship

Nice To Haves

Relevant experience in direct support of the US Coast Guard, Government Agencies supporting defense, Homeland Security.
Understanding of project management methodologies and tools (Agile, Scrum, PMBOK, Microsoft Planner, Jira, Kanban, best practices, tools, and templates).
Capability to manage projects of high complexity and to direct the completion of projects within estimated timeframes and resource constraints.
Ability to recognize new business development opportunities.
Problem solving and critical thinking.
Thinking ‘two steps ahead’ and being prepared for what the client will need next.
Taking initiative instead of waiting to be told what to do.
Managing multiple tasks and prioritizing according to importance.
Flexibility to pivot and adapt to changes in direction of new things.
Considering the details and ensuring accuracy in the small things.
Building rapport with colleagues and clients. Developing a reputation as someone who is responsive and trustworthy.

Responsibilities

Oversee Project Execution
Translate business needs and value between IT, business, software engineers and data engineers, collaborating with these multi-disciplinary teams.
Foster a collaborative work environment, guiding and mentoring team members in achieving project milestones.
Collaborate with client teams to understand and document data requirements with emphasis on identifying sources to meet those requirements.
Communicate with relevant external office stakeholders to understand the requirements, locations, and methods of data access.
Explore data and craft models to answer core business problems that may not have a common blueprint.
Work with large datasets and solve difficult analytical problems, applying advanced methods.
Lead the invention of new approaches and algorithms for tackling data-intensive problems.
Build and refine accurate forecasting models using Python.
Investigate frameworks to determine the best framework for analyses, reports and data visualizations.
Validate and maintain the integrity and accuracy of data used in the forecasting process.
Liaise with internal teams to gather requirements and provide updates.
Lead rigorous testing phases to ensure the reliability and effectiveness of the forecasting system.
Document processes from data source(s) to final deliverable(s).
Create and drive data science innovation within the organization, helping define and build foundational processes, and enabling the delivery of key business initiatives that adhere to technical standards for data science and machine learning, including the design and construction of reusable data assets.
Provide mentorship and guidance to developers to support continued training.