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Senior Level Data Scientist

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
  • 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

**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.

As a federal contractor, Maverc has implemented affirmative action programs to ensure non-discrimination and promote affirmative action in our policies and practices for qualified women, minorities, protected veterans, and individuals with disabilities. The narrative portion of Maverc's affirmative action plans is available for inspection at our offices during normal business hours. Employees and applicants interested in reviewing these plans should contact Human Resources at or hr@maverc.com for assistance.

If you are interested in applying for a position with Maverc and require special assistance or accommodation to apply for a posted position, please contact our Human Resources department at hr@maverc.com or by calling 888-948-1468.

Exceptional People, Outstanding Benefits

Exceptional people are the cornerstone of any successful company. To attract and retain such talent, Maverc provides fulfilling work opportunities that complement a balanced lifestyle. We achieve this by offering exceptional benefits, enabling our employees to live and work well.

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Training & Development

Average salary estimate

$140000 / YEARLY (est.)
min
max
$120000K
$160000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
March 3, 2025

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