Data Scientist in United

Energy Jobline
Carbon, WV, United States
7 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

Agile Methodology Amazon Web Services Data Analysis Microsoft Azure Cloud Computing Data Cleansing Data Governance Extract Transform Load (ETL) Relational Databases Data Intelligence Python (Programming Language) Machine Learning
+8 more
NumPy Standard Sql Unstructured Data Feature Engineering Pandas Scikit Learn Virtual Agents Data Pipelines

Job description

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.

Requirements

  • 3+ years of experience in data science, analytics, or applied machine learning. \n

  • Proficiency in Python for data analysis, modeling, and pipeline development (e.g., pandas, scikit-learn, NumPy). \n

  • Solid experience working with structured and unstructured data, including data cleaning and feature engineering. \n

  • Working knowledge of SQL and relational databases; familiarity with ETL concepts. \n

  • Strong understanding of predictive modeling and statistical methods. \n

  • Ability to work with sensitive data in a secure, compliant manner. \n

  • Strong written and verbal communication skills, particularly for documenting analysis and collaborating with interdisciplinary teams. \n

  • Familiarity with Agile or iterative project development methodologies. \n, * Experience working with federal government datasets or projects \n

  • Familiarity with chatbot technology, intelligent agents, or API integration. \n

  • Exposure to working with biometric data or verification systems. \n

  • Experience with cloud platforms like AWS, Azure, or GCP in secure environments. \n

  • Knowledge of data governance frameworks or responsible AI practices.

Benefits & conditions

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.

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Day-to-Day Impact

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  • Contribute to the enhancement of predictive models that estimate processing timelines for public service requests and deliver personalized status updates to end users. \n

  • Support the development and deployment of models across new service areas, based on agency priorities. \n

  • Collaborate with teams to expand the capabilities of intelligent help agents through integration with external data sources and applications. \n

  • Implement data cleaning and scrubbing strategies to ensure unstructured data is accurate, appropriate, and safe for public-facing use. \n

  • Analyze customer data, including biometric or behavioral signals, to identify reliable verification indicators. \n

  • Help design and maintain ETL pipelines to transition from transactional systems to customer- or -centric data models. \n

  • Communicate technical findings through visualizations, reports, or dashboards tailored to both technical and non-technical audiences. \n

  • Collaborate with policy, engineering, and operations teams to ensure analytics solutions align with mission goals and regulatory requirements. \n

  • Support efforts around data governance, ethical AI, and responsible use of data in government settings. \n

  • Participate in Agile workflows and contribute to continuous delivery of data science capabilities. \n

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About the company

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.

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