7Seventy Recruiting

About the Role

 

This opportunity is for a Data Scientist who will use advanced SQL and Python expertise to support high-impact analytical work, modernize data strategies, and deliver actionable insights through complex data analysis and modeling.

 

The role involves working with large-scale data, supporting decision-making, and translating technical findings into clear business recommendations.

 

This position combines advanced analytics, data lifecycle management, stakeholder communication, and cross-functional collaboration in a fast-paced environment with multiple high-priority projects.

 

Work Schedule: Availability to collaborate during core business hours, 9:00 AM – 5:00 PM EST.

 

Quarterly in-person meetings in the Washington, D.C. area are required.

 

What You’ll Do

 

* Develop and implement databases and collection systems to acquire data from primary and secondary sources.
* Document SQL models to support efficient and well-structured data management.
* Perform advanced data manipulation, data wrangling, and exploratory data analysis to identify and interpret complex trends within large-scale datasets.
* Use statistical software and modeling techniques to generate synthesized, actionable insights for senior leadership and client stakeholders.
* Communicate technical findings to non-technical users through data visualizations, briefings, and executive-level slide presentations.
* Partner with cross-functional teams to extract and translate insights from both structured and unstructured data sources.
* Manage multiple high-priority projects simultaneously while meeting strict deadlines in a collaborative environment.

 

Qualifications

 

* Bachelor’s degree in a quantitative field such as Data Science, Applied Mathematics, or Statistics.
* Master’s degree or completion of a data science boot camp is a plus.
* Two or more years of experience in a data science role.
* Experience in federal financial regulatory environments or government contracting is preferred.
* Advanced proficiency in Python, including tools such as Pandas, NumPy, and Matplotlib.
* Advanced SQL skills for architecting and modifying complex code within relational database management systems.
* Experience using data warehousing solutions to query and extract insights from high-volume, large-scale datasets.
* Understanding of descriptive statistics, inferential statistics, and regression modeling.
* Ability to use generative AI tools, including LLMs and agent-based coding, to help automate workflows.
* Proficiency with a broad range of data science technologies, such as PyTorch, TensorFlow, Scikit-learn, NLP tools, R, SAS, Plotly, NoSQL, Power BI, and Excel.
* Experience with Palantir products is a plus.
* Must be able to pass a background investigation and obtain and maintain a Public Trust determination.
* U.S. Citizenship or Permanent Resident status is required.

 

Base Salary Range: $103,000 – $127,000 per year

 

This role is also eligible for bonus pay. Compensation may vary based on relevant skills, training, experience, education, market factors, and, where applicable, licenses or certifications.

 

Benefits

 

* Bonus eligibility
* Unlimited paid time off
* Radical flex time
* Employer-funded health reimbursement account (HRA) to help cover health insurance deductibles
* Employer-funded 401(k)
* Professional development support
* Inclusive professional work environment
* Quarterly events and additional employee benefits

Data

Python

Data Science

Data analytics

Project management

Database

Support

Analysis

Communications

Team collaboration

Data warehouse

Software Development

NumPy

Statistics

Pandas

Automation

TensorFlow

Mathematics

Matplotlib

NoSQL

PyTorch

Scikit-learn

Plotly

Power BI

Excel

Generative AI

Agent-Based Modeling

Data Visualization

Data Scientist - $49.52 - $61.06 per hour