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Overview

Intelligent Waves is seeking a highly skilled and results-driven **Senior Data Scientist** to support our mission critical work in support of our government customer at Reston, VA and Ft. Belvoir. In this role, you'll tackle challenges by delivering complete, end-to-end solutions in a dynamic and agile environment. If you’re eager to go beyond writing code and contribute to building impactful systems that truly make a difference, we want you on our team. We’re looking for a developer with the expertise to take software and systems from concept to production-ready.

Intelligent Waves delivers mission-focused multi-domain operational expertise and innovation to the Government through high-impact technology solutions in cybersecurity, data science, enterprise network & systems engineering, software development, and cognitive human performance.

_ALWAYS READY. ANYTIME. ANYWHERE. ANY DOMAIN._

Since 2006, we have proudly served federal agencies including the Department of Defense. Our ability to operate globally in a wide range of environments coupled with our deep understanding of customer needs and requirements enables us to provide cost-effective solutions to support the most complex missions.

**Travel:** None

**Location:** Onsite in Reston, VA initially, with the position expected to relocate to Ft. Belvoir in approximately one year. The selected candidate will work as part of a broader team to provide ongoing coverage and support throughout both phases.

**Security Clearance:** Must be a United States Citizen and hold a current TS-SCI or TS with SCI eligibility security clearance.

_Adherence to all customer site protocols is mandatory for employees._

Responsibilities

+ Analyze and interpret structured and unstructured data to extract meaningful insights.

+ Apply expertise in IoT, machine learning, and artificial intelligence to solve real-world challenges.

+ Collaborate with clients across public and private sectors to understand their data needs and objectives.

+ Explore data-rich environments to identify patterns, trends, and relevant information.

+ Lead the development of algorithms, models, and analytical systems.

+ Guide and support teammates in data science tasks and project execution.

+ Select and apply appropriate tools and frameworks to analyze and interpret diverse data sets.

+ Transform complex datasets into objective, actionable insights to support client decision-making.

+ Deliver clear explanations of data significance and applications to clients and stakeholders.

+ Contribute to mission-driven projects that address global issues such as fraud detection, healthcare, and national security.

Qualifications

Required

+ 5+ years of experience in applied data science or ML roles, including using Python and NLP and LLM implementation

+ 5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining

+ Experience with production-level systems, data lake environments, and streaming data, including Kafka

+ Experience implementing end-to-end ML workflows from data prep to deployment and evaluation

+ Ability to quickly learn infrastructure or systems concepts, including how pipelines interface with data lakes

+ Ability to design, implement, and iterate on ML models for document classification, extraction, summarization, and search

+ Ability to take ownership of data science workflows that interact with a production system streaming millions of documents per week

+ TS/SCI clearance

+ Bachelor's degree

Desired

+ Experience in collaborating with MLOps and infrastructure engineers to ensure robust model deployment, monitoring, and retraining pipelines

+ Experience supporting platform components such as documents indexing or search, GPU workloads, and distributed storage, including Cloudera

+ Experience in the development of algorithms leveraging R, Python, SQL, or NoSQL

+ Experience with Distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Spark, Gurobi, or MySQL

+ Experience with visualization packages, including Plotly, Seaborn, or ggplot2

Since 2006, Intelligent Waves has remained committed to providing quality engineering, operations, and intelligence solutions to our clients and it all starts with YOU.

Intelligent Waves provides a great and generous benefits package to include medical, dental and vision, paid PTO, life & disability packages. We also invest in our employees' futures by contributing with vesting starting from DAY 1, technical training, tuition bonuses, and much, much more.

Clearance Statement

Applicants selected for this position will be subject to a government security investigation and must meet eligibility requirements for access to classified information. Only US citizens are eligible for a security clearance. For this position, Intelligent Waves will consider only applicants with security clearances or applicants who are eligible for security clearances.

EEO Statement

Intelligent Waves LLC is an equal opportunity employer. We are committed to providing equal opportunity to all applicants and employees in full compliance with all applicable state and federal laws prohibiting discrimination on the basis of race, color, age, sex, religion, national origin, disability, military and/or veteran status, or any other class protected by applicable state or federal law.

As an Affirmative Action and Equal Opportunity Employer, IW is committed to the full inclusion of all qualified candidates and current employees. As part of this commitment, IW will ensure that those in need are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact** **[email protected]** **.

A Veteran Friendly Organization

\#IW

Connect With Us! (https://apply-intelligentwaves.icims.com/jobs/4307/senior-data-scientist/job?mode=apply&apply=yes&in\_iframe=1&hashed=-1834473947)

**Job Locations** _US-VA-Reston | US-VA-Fort Belvoir_

**Job ID** _2025-4307_

**Category** _Data Science_

**Employment Type** _Regular Full-Time_

**Travel** _None_

**Remote** _No Remote Work_