E
Eastport Analytics
Posted 67 days agoVerified live 1d ago
Data Scientist
Brief overview
Remote
UndergradOr in progress
$103k–$120k/yrStated range
2+ yrsMinimum
PythonPandasNumPyMatplotlibSQLRelational Database Management SystemsData WarehousingDescriptive StatisticsInferential StatisticsRegression ModelingGenerative AILarge Language ModelsAgent-based CodingPyTorchTensorFlowScikit-learnNatural Language Processing
About the company
E
Eastport Analyticseastportanalytics.com
Eastport Analytics provides decision-analytic services for business analysts and decision-makers.
Job description
Summary
Eastport Analytics is a company that partners with Federal agencies to enhance analytic systems for compliance and enforcement. As a Data Scientist, you will leverage advanced SQL and Python skills to provide actionable insights and support strategic decision-making through data analysis.
Responsibilities
- Develop and implement databases and collection systems to acquire data from primary and secondary sources while documenting 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 the 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
Skills
- Bachelor's degree in a quantitative field (e.g., Data Science, Applied Mathematics, Statistics)
- Two+ years in a data science role
- 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
- 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
- Experience in federal financial regulatory environments (e.g., Treasury) or government contracting preferred
- Master's degree or data science boot camp a plus
- Experience with Palantir products a plus
Qualifications
Must Haves
- Bachelor's degree in a quantitative field (e.g., Data Science, Applied Mathematics, Statistics)
- Two+ years in a data science role
- 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
- 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
Nice to Haves
- Experience in federal financial regulatory environments (e.g., Treasury) or government contracting preferred
- Master's degree or data science boot camp a plus
- Experience with Palantir products a plus
Benefits
- This role is eligible for bonus pay
- A competitive benefits package
- Balanced work life culture
- Unlimited PTO
- 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
More jobs like this
