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About the Role

As a Data Scientist at Eastport Analytics, you will utilize advanced expertise in SQL and Python to drive innovation and provide actionable insights through high-fidelity data manipulation and complex analysis.

Responsibilities

• Develop and implement databases and collection systems to acquire data from primary and secondary sources.
• Document SQL models for efficient data management.
• Perform comprehensive data manipulation, wrangling, and exploratory data analysis (EDA) to identify and interpret complex trends within large-scale datasets.
• Utilize statistical software and modeling techniques to provide synthesized, actionable insights that inform senior leadership and client stakeholder decision-making.
• Convey complex technical findings to non-technical domain users through advanced data visualization, briefings, and executive-level slide decks.
• Partner with multi-disciplinary teams to extract and translate insights from both structured and unstructured data sources.
• Manage multiple high-priority projects simultaneously under strict deadlines within a collaborative environment.

Requirements

• Bachelor’s degree in a quantitative field (e.g., Data Science, Applied Mathematics, Statistics); Master’s degree or data science boot camp a plus.
• Two+ years in a data science role.
• Experience in federal financial regulatory environments (e.g., Treasury) or government contracting preferred.
• Advanced proficiency in Python (Pandas, NumPy, Matplotlib) and SQL for architecting and modifying complex code within Relational Database Management Systems (RDBMS).
• Experience leveraging data warehousing solutions to query and extract insights from high-volume, large-scale datasets.
• Understanding of descriptive/inferential statistics and regression modeling.
• Ability to leverage generative AI, such as LLMs, and agent-based coding to automate workflows.
• Proficiency in diverse data science technologies (e.g., PyTorch, TensorFlow, Scikit-learn, NLP, R/SAS, Plotly, NoSQL) and data visualization tools such as Power BI and Excel.
• Experience with Palantir products a plus.
• Must be able to pass a background investigation to obtain and maintain a Public Trust determination.
• U.S. Citizenship or Permanent Resident status required.

Skills

• SQL
• Python
• Pandas
• NumPy
• Matplotlib
• Relational Database Management Systems (RDBMS)
• Data warehousing
• Descriptive statistics
• Inferential statistics
• Regression modeling
• Generative AI
• LLMs
• Agent-based coding
• PyTorch
• TensorFlow
• Scikit-learn
• NLP
• R/SAS
• Plotly
• NoSQL
• Power BI
• Excel
• Palantir products

Location

• Remote
• Washington, D.C. area

Work Type

• Remote
• Full-time

Experience Level

• Two+ years in a data science role

Education Level

• Bachelor’s degree in a quantitative field
• Master’s degree or data science boot camp

Salary/Compensations

• $103,000 to $120,000

Benefits

• Bonus pay
• Unlimited PTO
• Radical flex time
• Employer funded health reimbursement account (HRA)
• Employer funded 401K
• Professional development
• Inclusive professional work environment
• Quarterly events

About the Company

• Eastport Analytics – Delivering Insight for Over 25 Years
• Eastport Analytics partners with Federal agencies to strengthen and evolve mission-critical analytic systems that drive compliance, enforcement, and investigative outcomes.
• Our specialized analytic expertise, combined with a mission-first approach, ensures agencies extract maximum value from the tools, data, platforms, and processes they rely on today while building the capacity to meet tomorrow’s challenges.
• Working side by side with Federal teams, we deliver practical, sustainable solutions that enhance analytic effectiveness, support core missions, and enable agencies to act with clarity, efficiency, and confidence.

Equal Opportunity

• Eastport Analytics, Inc. is proud to be an equal opportunity employer.
• We welcome and support all qualified applicants regardless of race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, hair texture or protected hairstyle, veteran status, or genetic information.
• We are also committed to providing reasonable accommodations during the job application and interview process.
• To request accommodations, contact: hr@eastportanalytics.com.