Senior Data Scientist TS/SCI CI POLY

Parsons Corporation • Baltimore, MD • 3h ago

In a world of possibilities, pursue one with endless opportunities. Imagine Next!

At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what's possible.

Job Description:

POSITION OVERVIEW: We are seeking a highly experienced and technically proficient Data Engineer to join our team, focusing on supporting AI development, deployment, and maintenance of AI applications at enterprise scale. This role requires a deep understanding of corporate dataflows, expertise in data modeling, developing data parsers for extremely large datasets, and familiarity with AI concepts in the @context of data storage, access, and retrieval. The ideal candidate will be adept at deploying a wide variety of databases, including graph, SQL, NoSQL, and vector databases, and will play a crucial role in ensuring robust and scalable data infrastructure for our AI initiatives.

Job PostingJob PostingParsons is looking for an amazingly talented Data Scientist to join our team! In this role you will get to make an impact on the future success of the U.S. Cyber Command. What You'll Be Doing:

Design, develop, and maintain robust and scalable data pipelines for enterprise AI applications including defining appropriate data model concepts

Develop high-performance data parsers for extremely large and complex datasets

Implement and manage various database systems, including graph, SQL, NoSQL, and vector databases

Collaborate with AI/ML engineers and data scientists to understand data requirements and optimize data access and retrieval for AI models

Ensure data quality, integrity, and security across all data storage solutions

Support the deployment and maintenance of AI applications by providing expert data engineering capabilities

Familiarity with AI concepts in the @context of data storage, access, and retrieval

Continuously optimize data infrastructure for performance, cost-efficiency, and scalability What Required Skills You'll Bring:

Active TS/SCI with Polygraph

Bachelor's degree in a relevant technical field with 8 years of experience; Master's degree in a relevant technical field with 5 years of experience; 4 years additional experience will be considered in lieu of degree

Advanced proficiency in programming languages commonly used for data engineering (e.g., Python, Java, Scala)

Demonstrated expertise in designing, developing, and optimizing data pipelines for large-scale enterprise environments

Proven experience with corporate dataflows and developing data parsers for extremely large datasets

Extensive experience with various database technologies including graph databases (e.g., Neo4j), SQL databases (e.g., PostgreSQL, MySQL), NoSQL databases (e.g., MongoDB, Cassandra), and vector databases

Familiarity with cloud platforms (AWS, Microsoft Azure) for data storage and processing What Desired Skills You'll Bring:

Experience with data governance, data security, and compliance best practices

Familiarity with big data technologies such as Hadoop, Spark, or Kafka.

Experience with data warehousing concepts and tools

Continuous learning mindset to stay abreast of cutting-edge data engineering and AI advancements

Understanding of machine learning concepts and their implications for data infrastructure

Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams

Ability to translate complex data requirements into actionable engineering solutions

Security Clearance Requirement:

An active Top Secret SCI w/Polygraph security clearance is required for this position.?

This position is part of our Federal Solutions team.

The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what's next to deliver the solutions our customers need now.

Salary Range: $125,100.00 - $225,200.00

We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!

Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.

We truly invest and care about our employee's wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest-APPLY TODAY!

Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/ .

About Us

Parsons is a digitally enabled solutions provider focused on the defense, security, and infrastructure markets. With nearly 75 years of experience, Parsons is uniquely qualified to deliver cyber/converged security, technology-based intellectual property, and other innovative services to federal, regional, and local government agencies, as well as to private industrial customers worldwide.

Parsons is an equal opportunity, drug-free employer committed to diversity in the workplace. Minority/Female/Disabled/Protected Veteran/LGBTQ+.

For more about Parsons, visit parsons.com and follow us on Facebook, Twitter, LinkedIn, and YouTube.

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