What are the responsibilities and job description for the Senior Level Data Scientist position at iQ-iA, Inc?

Job Description

Senior Level Data Scientist

Alexandria, Virginia

Active Top Security Clearance W / SCI Eligibility

On-site

Job Description

As a Senior Level Data Scientist with Maverc, you will take a leading role in designing, implementing, and optimizing advanced machine learning models and AI solutions that drive organizational success. You will lead technical initiatives, collaborate closely with cross-functional teams, and ensure the successful delivery of robust, scalable, and efficient data-driven solutions. In this role, you'll manage the integration of complex AI technologies such as NLP, generative AI, and large-scale data processing, all while ensuring alignment with the company’s strategic goals. You will be a key player in pushing the boundaries of innovation and ensuring the continuous improvement of our AI-driven products.

Design & Development : Lead the design, configuration, development, testing, and support of informatics and data science solutions for various technical use cases
Collaboration : Work closely with cross-functional teams, including data scientists and software engineers, to integrate AI solutions into Search Portfolio products, leveraging resources from the CDAO or DoD community
AI Model Optimization : Optimize AI models for performance, scalability, and efficiency using cloud-based resources and distributed computing frameworks, especially Apache Spark and Databricks
Research & Innovation : Stay updated on AI advancements and contribute to applying new research findings to enhance Search Portfolio products
Lifecycle Management : Manage the lifecycle of AI / ML components, from research and development to deployment and optimization
Data Analysis & Diagnostics : Apply analytical methodologies to diagnose and address data-related challenges, ensuring performance optimization
Documentation & Presentation : Document and present design alternatives, technical findings, and requirements to stakeholders
Data Modeling & Analysis : Develop strategic, baselined data modeling processes and accurately determine cause-and-effect relationships
Tool Development : Maintain and guide the development of common libraries and tools used across teams
Rapid Prototyping : Contribute to the formulation of strategies to achieve rapid prototyping

Requirements

Extensive experience in machine learning (ML), including fields like Natural Language Processing (NLP), computer vision, and statistical learning theory

Hands-on expertise with NLP, Large Language Models, text embedding, semantic queries, generative AI for text, and retrieval-augmented generation (RAG)

Strong familiarity with data preprocessing, feature engineering, and model evaluation techniques essential for machine learning projects

Solid understanding of various ML algorithms (supervised and unsupervised learning, reinforcement learning, neural networks)

Proficient in version control systems such as Git for collaboration and code management

Experience in ML engineering or data science, specifically building ML models

Strong coding skills in Python, R, Scala, Java, or C , with a focus on creating reproducible, well-documented code

Experience with Apache Spark and Databricks for distributed AI / ML workloads

Expertise in working with large datasets (petabytes), uncovering hidden patterns, using data visualization tools, and writing SQL queries

Experience with GPUs for model development

Proficient in cloud-based data persistence, particularly RDS PostgreSQL and PostgreSQL extensions like pgvector

Experience with persisting vectorized data from text embedding processes using Elastic and / or OpenSearch, and vector-enabled RDBMS like pgvector-enhanced PostgreSQL

Ability to communicate technical concepts effectively to business, technical, and lay audiences, with experience delivering data-driven presentations

Security Clearance : Minimum active Top Secret (TS) clearance with Sensitive Compartmented Information (SCI) eligibility

Education

Bachelor’s Degree plus 7-10 years of experience, or

Master’s Degree plus 5 years of experience

Benefits

Join Maverc. Be Valued.

At Maverc, we are an inclusive community where diversity in all its forms is embraced, respected, and recognized as a true asset to the company. We are dedicated to fostering this inclusive environment, though we acknowledge that there is always room for improvement. Maverc is committed to evolving into a more inclusive and equitable organization, upholding the principles of equal employment opportunity and affirmative action.

Maverc is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment based on gender, gender identity or expression, sexual orientation, race, age, religion, physical or mental disability, veteran status, or other protected characteristics under federal, state, and local laws.

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