Data Scientist in United

Job Description

Data Scientist

Remote, Anywhere in the Continental US

Due to the nature of the role, this position requires that you are a U.S. .

Data Surge is disrupting the services industry with cutting-edge technology that brings together the very best consultants from the big data, machine learning, and software modernization space.

At Data Surge, we value collaboration
, curiosity
, and being customer
centric
. Our team thrives on collective efforts, innovation, and a commitment to wellness
, ensuring employees are empowered to thrive professionally and personally.

We are seeking a skilled and motivated Data Scientist to support data-driven innovation across government services. In this role, you will work on high-impact projects that enhance public service delivery, improve operational transparency, and empower agencies with actionable insights.

This position is ideal for professionals who enjoy applying data science to meaningful real-world challenges, working with sensitive datasets, and building solutions that serve diverse communities nationwide.

• Contribute to the enhancement of predictive models that estimate processing timelines for public service requests and deliver personalized status updates to end users.
• Support the development and deployment of models across new service areas, based on agency priorities.
• Collaborate with teams to expand the capabilities of intelligent help agents through integration with external data sources and applications.
• Implement data cleaning and scrubbing strategies to ensure unstructured data is accurate, appropriate, and safe for public-facing use.
• Analyze customer data, including biometric or behavioral signals, to identify reliable verification indicators.
• Help design and maintain ETL pipelines to transition from transactional systems to customer- or
  -centric data models.
• Communicate technical findings through visualizations, reports, or dashboards tailored to both technical and non-technical audiences.
• Collaborate with policy, engineering, and operations teams to ensure analytics solutions align with mission goals and regulatory requirements.
• Support efforts around data governance, ethical AI, and responsible use of data in government settings.
• Participate in Agile workflows and contribute to continuous delivery of data science capabilities.

• 3+ years of experience in data science, analytics, or applied machine learning.
• Proficiency in Python for data analysis, modeling, and pipeline development (e.g., pandas, scikit-learn, Num Py).
• Solid experience working with structured and unstructured data, including data cleaning and feature engineering.
• Working knowledge of SQL and relational databases; familiarity with ETL concepts.
• Strong understanding of predictive modeling and statistical methods.
• Ability to work with sensitive data in a secure, compliant manner.
• Strong written and verbal communication skills, particularly for documenting analysis and collaborating with interdisciplinary teams.
• Familiarity with Agile or iterative project development methodologies.

• Experience working with federal government datasets or projects
• Familiarity with chatbot technology, intelligent agents, or API integration.
• Exposure to working with biometric data or verification systems.
• Experience with cloud platforms like AWS, Azure, or GCP in secure environments.
• Knowledge of data governance frameworks or responsible AI practices.
• Existing security clearance ( but not required).

Data Surge offers a competitive compensation and total rewards package.

• Comprehensive Benefits
• Remote work environment
• PTO - Including holidays + your birthday
• 401(k) with 4% Match, immediately vested
• Growth and development opportunities
• Bonuses + more

Find out more about our story at .

Visit our Careers page to explore our openings at

Follow us on Linked In at .

As a participator in E-Verify, Data Surge electronically confirms employment eligibility of employees to work in the United States.

Job Type: Full-time

Work Location:

Remote