Data Scientist IV

Arcfield; McLean (VA); On-site; USD 99,000 - 238,000; Full time

Job summary

Arcfield in McLean, VA is seeking a Data Scientist to join a mission-focused engineering team. You will tackle complex data problems, integrate diverse data streams, and deliver data-driven solutions for high-priority missions.

You will work with government, contractor, and partner personnel, applying advanced analytics to derive actionable insights and support mission success in real-time environments.

Qualifications

• TS/SCI clearance with polygraph is required.
• Bachelor's degree or equivalent experience in a technical field.
• Advanced degrees (MS/PhD) are a plus.
• Experience with data analysis, modeling, and presenting results.

Responsibilities

• Leverage new data sets to develop data-driven solutions meeting mission needs.
• Identify, assess, and exploit data streams to support requirements.
• Design and implement real-time data processing techniques.
• Develop user-friendly data interfaces for stakeholders.
• Integrate multiple data streams to create a unified view of complex data sets.
• Apply data science techniques to detect patterns in large data sets.
• Collaborate with government, contractor, and partner personnel.
• Troubleshoot data processing issues across networks and optimize data delivery.

Skills

TS/SCI clearance with Polygraph

Data science

Cross-functional collaboration

Communication

Education

Bachelor's degree or equivalent experience

Advanced degrees (MS/PhD) preferred

Tools

Java

Linux

Python

Ruby

C++

C#

.NET

JSON

XML

REST

SOAP

Hadoop

Hive

Solr

Lucene

Nutch

Sphinx

Palantir

Microsoft Pivot

Latent Semantic Indexing

Latent Dirichlet Allocation

Job description

Responsibilities

Ready to make an impact on a mission that matters? Join Arcfield and be part of a team delivering innovative engineering and technology solutions that help advance our nation's security. At Arcfield, you'll have the opportunity to tackle meaningful challenges alongside talented, driven professionals who bring diverse skills, perspectives, and expertise to the mission. We're looking for motivated, curious, and adaptable individuals who thrive in dynamic environments, embrace new challenges, and are eager to learn, grow, and make a difference. Whether you're building on your existing expertise or ready to take the next step in your career, Arcfield offers an environment where you can expand your skills, explore new opportunities, and contribute to work that has a real impact.

The Data Scientist will collaborate with a team to solve complex problems and exercise considerable latitude in determining objectives and approaches to assignments.

Responsibilities include, but are not limited to, the following:

• Leverage new data sets, identify new applications, develop innovative targeting methodologies, and collaborate with internal and external stakeholders to devise data-driven solutions that meet the Sponsor’s highest-priority mission needs.
• Identify, assess, and exploit relevant data streams to support mission and targeting requirements.
• Design and implement real-time data processing techniques to address immediate needs.
• Develop user-friendly data interfaces for stakeholders unfamiliar with the data, including targeters and engineers.
• Integrate multiple data streams to create a unified view of complex data sets.
• Develop and implement data science techniques to detect identified signatures in large data sets.
• Leverage diverse data sources to enhance the value and utility of new data sources.
• Support multiple high-priority customers with varying requirements.
• Collaborate with cross-functional teams, including government, contractor, and non-IC partner personnel.
• Troubleshoot data processing issues across networks and optimize data delivery and formats.
• Engage with stakeholders to develop solutions based on prioritized requirements.
• Analyze unstructured and semi-structured data using techniques such as latent semantic indexing (LSI), entity identification and tagging, and complex event processing (CEP), and apply analysis algorithms across distributed, clustered, and cloud-based high-performance infrastructures.
• Exercise creativity in applying non-traditional approaches to large-scale analysis of unstructured data in support of high-value use cases visualized through multi-dimensional interfaces.
• Handle, process, and index requests against high-volume data collections and high-velocity data streams to identify meaningful insights and discoveries.

Qualifications

• Must possess and be able to maintain a TS/SCI clearance with Polygraph.
• Bachelor's degree (or equivalent experience) in the fields of Computer Science, Information Systems, Engineering, Business, or related scientific or technical discipline.
• BS 8-10, MS 6-8, PhD 3-5
• Knowledge of the Sponsor’s environment.
• Experience working with sensitive commercial partners and commercial data sets.
• Experience presenting data analysis results to drive technical development and inform decision-making.
• Experience with the following technologies, tools, and methodologies:
  • Software development environments, including open-source enterprise software stacks (Java, Linux, Ruby, or Python) and Windows development stacks (.NET, C#, or C++).
  • Data transport and transformation technologies and APIs, such as JSON, XML, XSLT, JDBC, SOAP, or REST.
  • Cloud-based and distributed data processing and analytics technologies, such as Hadoop, Mahout, Accumulo, Hive, Impala, or Pig.
  • Visual analytics tools, such as Microsoft Pivot, Palantir, or other visual analytics platforms.
  • Open-source text processing and search technologies, such as Lucene, Sphinx, Nutch, or Solr.
  • Entity extraction, conceptual search, and semantic analysis techniques, such as Latent Semantic Indexing (LSI) and Latent Dirichlet Allocation (LDA).
  • Machine learning, algorithm development and analysis, and data clustering techniques.
  • Data science tools, techniques, and methodologies.

Desired

• Ability to work with data sets across different computer systems, networks, and organizations.
• Strong interpersonal and communication skills.
• Ability to work effectively with cross-functional teams and stakeholders.

Equal Pay Act

This is the projected compensation range for this position. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories. In addition, Arcfield invests in its employees beyond just compensation. Arcfield ’s benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, Short Term and Long-Term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections.Min: $99,059.77Max: $238,039.14

EEO Statement

We are an equal opportunity employer and federal government contractor. We do not discriminate against any employee or applicant for employment as protected by law.