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Data Scientist

GRVTY
locationMcLean, VA, USA
PublishedPublished: 6/14/2022
Technology
Full Time

Job Description

Job Description

What Impact You'll Have:

GRVTY is a member of 100% of the winning teams for the largest technology program in the Intel Community. We've been supporting this customer on many different sub-projects of this program since our founding in 2013. We've grown on this effort by providing the customer with Engineers who have done exceptional work, and we've retained our staff by paying very strong salaries, and working hard to ensure each Engineer is doing work that aligns with their career interest.

What You'll Be Owning:

GRVTY is seeking a Data Scientist with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Reston, VA. The Sponsor provides training, tradecraft guidance and tools for the data science workforce that improve the reuse of successful data science methods. The Sponsor's office completes short-term prioritized data science projects, which require programmatic and technical support. The work is performed within a team environment and requires constant iteration with stakeholders to provide services and tools. Work will include development and maintenance of training, publication and coordination of tradecraft guidelines and services as well as development of programming packages and data services to support cross-enterprise needs. Work will include high technical skill in programming as well as high levels of collaboration, communication and requirements solicitation.

What You Must Have:

  • Active TS/SCI with Polygraph Clearance
  • Demonstrated experience 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.
  • Demonstrated experience with data management and integration, including designing and operating robust data layers for application development across local and cloud or web data sources.
  • Demonstrated work experience programming with Python
  • Demonstrated experience building scalable ETL and ELT workflows for reporting and analytics.
  • Demonstrated experience with general Linux computing and advanced bash scripting
  • Demonstrated experience with SQL.
  • Demonstrated experience constructing complex multi-data source queries with database technologies such as PostgreSQL, MySQL, Neo4J or RDS
  • Demonstrated experience processing data sources containing structured or unstructured data
  • Demonstrated experience developing data pipelines with NiFi to bring data into a central environment
  • Demonstrated experience delivering results to stakeholders through written documentation and oral briefings
  • Demonstrated experience using code repositories such as Git
  • Demonstrated experience using Elastic and Kibana technologies
  • Demonstrated experience working with multiple stakeholders
  • Demonstrated experience documenting such artifacts as code, Python packages and methodologies
  • Demonstrated experience using Jupyter Notebooks
  • Demonstrated experience with machine learning techniques including natural language processing
  • Demonstrated experience explaining complex technical issues to more junior data scientists, in graphical, verbal, or written formats
  • Demonstrated experience 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

What Would Be Nice to Have:

  • Demonstrated experience with cloud services, such as AWS, as well as cloud data technologies and architecture.
  • Demonstrated experience using big data processing tools such as Apache Spark or Trino
  • Demonstrated experience with machine learning algorithms
  • Demonstrated experience with using container frameworks such as Docker or Kubernetes
  • Demonstrated experience with using data visualizations tools such as Tableau, Kibana or Apache Superset
  • Demonstrated experience creating learning objectives and creating teaching curriculum in technical or scientific fields

Why Choose GRVTY

The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We're purpose-built to tackle the most entrenched, systemic national security issues around the world.

We partner with our customers to help them overcome challenges in every corner of technology and defense—including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives.

At GRVTY, we believe that when our employees thrive, our company thrives. That's why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance.

• Robust health plan including medical, dental, and vision

• Health Savings Account with company contribution

• Annual Paid Time Off and Paid Holidays

• Paid Parental Leave

• 401k with generous company match

• Training and Development Opportunities

• Award Programs

• Variety of Company Sponsored Events

EEO Statement

GRVTY, is an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran and will not be discriminated against on the basis of disability.

Anyone requiring reasonable accommodations should email recruiting@grvty.com or call 703-544-7930 with requested details.  A member of the HR team will respond to your request within 2 business days. 

Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov) 

Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.

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