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Data Scientist

Analytica analytica.net Open · verified Oct 24, 2026
Bethesda Full-time Mid-level Data Science

At a glance

Mid-level Data Science role at Analytica. Bethesda · full-time · no salary stated · we estimate $115,300–$175,500 across the United States.

Estimated pay

Analytica has not published a salary for this role. The figure below is our estimate, not theirs.

$115,300 – $175,500
What the middle half of mid-level data science roles in the United States paid, among postings that did state a salary.
Worked out from 425 postings that stated pay, median $145,000. Last updated Oct 24, 2026.
RoleData Science
SeniorityMid-level
LocationBethesda
EmploymentFull-time
PostedSep 25, 2026 · 4w ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and maintain product-similarity models and other statistical or machine-learning approaches for safety analytics
  • Use semantic methods on structured and unstructured data to find themes, then turn findings into clear visual explanations
  • Check model quality with measures such as precision, recall, F1-score and AUC, then test and tune for better results
  • Improve the scale and speed of data science workflows in Azure, using tools such as GitHub Copilot and CI/CD pipelines

What you bring

  • A bachelor's degree in a relevant field, plus at least five years developing statistical and AI/ML models
  • At least three years building predictive models, including regression, classification or NLP applications
  • Three or more years using Python for data science, alongside cloud experience and at least two years querying data with SQL
  • Applied semantic analysis or coding in machine-learning workflows, with experience using Git-based version control

Who this fits

This mid-level role suits someone who can develop and evaluate models while explaining technical findings to business and technical partners. The position is based in Bethesda, Maryland.

From the employer

Analytica is seeking a Data Scientist to lead the design and implementation of advanced statistical and AI/ML solutions supporting product safety analytics initiatives. This role focuses on extracting actionable insights, evaluating model performance, and applying semantic analysis techniques to enhance data-driven decision-making.

The ideal candidate will bring an innovative mindset and experience working in modern cloud environments to improve efficiency, scalability, and interpretability of AI solutions. This work supports the strategic vision to accelerate toward an AI-powered product safety Sentinel model—protecting more consumers, faster, from more hazards by leveraging analytics to shorten time to intervention.

Analytica has been recognized by Inc. Magazine as a fastest-growing private US small business. We work with U.S. government customers in health, civilian, and national security missions. We offer competitive compensation with opportunities for bonuses, employer paid health care, training and development funds, and 401k match.  

Responsibilities include (but are not limited to):

Insight Extraction & Semantic Analysis

  • Apply semantic coding and analysis techniques to uncover patterns and thematic insights from structured and unstructured data
  • Translate complex analytical findings into clear, actionable insights using data storytelling and visualization techniques
  • Support decision-making through development of interpretable and explainable analytics outputs
Model Development & Evaluation
  • Design, implement, and maintain AI/ML models including:
    • Product similarity models
    • Supervised and unsupervised learning approaches
    • Models for anomaly detection, classification, regression, and pattern recognition
  • Evaluate models using robust performance metrics (e.g., precision, recall, F1-score, AUC) to ensure accuracy, reliability, and fairness
  • Continuously improve model performance through testing, validation, and tuning
Innovation & Efficiency
  • Explore emerging technologies and innovative methodologies to solve complex analytical challenges
  • Leverage modern development tools and frameworks (e.g., GitHub Copilot, CI/CD pipelines) to streamline workflows and improve delivery efficiency
  • Optimize data science workflows for scalability and performance in cloud environments (Azure)
Basic Qualifications
  • Bachelor's Degree required, Master’s degree, Ph.D., preferred in Data Science, Machine Learning, Computer Science, Mathematics, or a related field5+ years of experience developing statistical and AI/ML models using modern tools and best practices
  • 3+ years of experience building predictive models, including regression, classification, and NLP applications
  • 3+ years of hands-on experience with Python (e.g., Pandas, Scikit-learn, PyTorch or TensorFlow)
  • 3+ years of experience working in cloud environments (Azure preferred)
  • 2+ years of experience with SQL for data querying and manipulation
  • Strong experience with data visualization tools such as Power BI (or equivalent)
  • Demonstrated ability to apply semantic analysis or coding techniques within ML workflows
  • Strong written and verbal communication skills with the ability to convey technical concepts clearly
  • Experience using Git-based version control for collaborative development
  • Ability to work effectively within Agile teams, contributing to sprint planning, iterative development, and continuous improvement
  • Proven ability to collaborate across technical and business stakeholders to deliver high-quality, data-driven solutions

About ANALYTICA: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. Founded in 2009 and headquartered in Bethesda, MD, the company is an established SBA small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S.  Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider.

Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law.

To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process.

  • Application Review: AI tools may help identify skills and experiences relevant to the role.
  • Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points.

These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers.

By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process.

When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Science

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.