Data Scientist IV

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: $99,059.77
• Max: $238,039.14
• EEO Statement

We do not discriminate against any employee or applicant for employment as protected by law.