Data Scientist

Eastport Analytics, Inc.; Washington, Northern (District of Columbia, KY); Hybrid; USD 103,000 - 120,000; Full time

Job summary

Eastport Analytics, Inc. seeks a Data Scientist to leverage SQL and Python to deliver insights from large-scale data and to support investigations and enforcement efforts. You will partner with investigators, auditors, and analysts to modernize data strategies and provide actionable recommendations.

The role requires 2+ years in data science, strong Python/SQL skills, and experience with data warehousing; U.S. citizenship or PR and ability to collaborate during EST hours are essential.

Qualifications

• Bachelor’s degree in a quantitative field; master’s or boot camp is a plus.
• 2+ years in a data science role; federal financial regulatory environments preferred.
• Advanced Python and SQL for architecting and modifying complex code in RDBMS.
• Experience with data warehousing and high-volume datasets.
• Strong statistics knowledge; ability to apply AI/LLMs to automate workflows.

Responsibilities

• Develop databases and collection systems; document SQL models for data management.
• Perform data manipulation, wrangling, and exploratory data analysis (EDA).
• Provide modeling insights to inform senior leadership and clients.
• Create data visualizations and executive-level briefings.
• Collaborate with cross-functional teams to extract insights from varied data sources.
• Manage multiple high-priority projects under tight deadlines.

Skills

Python (Pandas/NumPy/Matplotlib)

SQL

Statistics & Modeling

Data Visualization

Communication & storytelling

Education

Bachelor’s degree in quantitative field

Master’s degree or data science boot camp a plus

Tools

Power BI

Excel

Palantir

NoSQL

PyTorch

TensorFlow

Job description

Description

At Eastport Analytics, our data subject matter experts, technologists, and domain specialists work directly with financial investigators, auditors, and analysts to modernize data strategies and improve law and tax enforcement. We measure success by our client’s mission accomplishments, including higher compliance and improved asset recovery.

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.

Specific Responsibilities Include:

• Infrastructure and Data Lifecycle: Develop and implement databases and collection systems to acquire data from primary and secondary sources while documenting SQL models for efficient data management.


• Advanced Analytics: Perform comprehensive data manipulation, wrangling, and exploratory data analysis (EDA) to identify and interpret complex trends within large-scale datasets.


• Strategic Decision Support: Utilize statistical software and modeling techniques to provide synthesized, actionable insights that inform senior leadership and client stakeholder decision-making.


• Storytelling and Communication: Convey complex technical findings to non-technical domain users through advanced data visualization, briefings, and executive-level slide decks.


• Cross-Functional Collaboration: Partner with the multi-disciplinary teams to extract and translate insights from both structured and unstructured data sources.


• Project Execution: 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, with the 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.


• Remote position requiring availability to collaborate during core business hours (9:00 AM – 5:00 PM EST) and attend quarterly in-person meetings in the Washington, D.C. area.

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.

Compensation & Benefits

The estimated base salary for this position is $103,000 to $120,000 (annualized USD). This role is eligible for bonus pay and a competitive benefits package. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, market factors, and where applicable, licensure or certifications obtained.

Eastport Analytics offers a full suite of benefits to help employees thrive professionally and personally including a balanced work life culture, unlimited PTO and radical flex time, employer funded health reimbursement account (HRA) to cover deductibles for health insurance, employer funded 401K, professional development, an inclusive professional work environment, fun quarterly events, and more.

• balanced work life culture


• unlimited PTO and radical flex time


• employer funded health reimbursement account (HRA) to cover deductibles for health insurance


• employer funded 401K


• professional development


• an inclusive professional work environment


• fun quarterly events


• and more

Equal Opportunity Employer

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: [e-mail].