Data Scientist in United

Energy Jobline ZR

United (WV)

Teletrabalho

USD 110 000 - 155 000

Tempo integral

Há 4 dias

Torna-te num dos primeiros candidatos

Uma candidatura completa num minuto

Currículo e carta de apresentação personalizados, prontos a enviar.

Ultrapassa os filtros ATS

Vantagens oferecidas por esta oferta de emprego

Comprehensive Benefits

Remote work environment

PTO including holidays + your birthday

401(k) with 4% Match, immediately vest

Growth and development opportunities

Bonuses + more

Resumo da oferta

Data Surge seeks a Data Scientist to support data-driven innovation across government services. This remote role operates nationwide in the United States, handling sensitive datasets with security and ethics in mind.

You will build and deploy predictive models, clean unstructured data, and design ETL pipelines while collaborating with policy, engineering, and operations teams to deliver actionable insights and governance-aligned analytics.

Qualificações

3+ years of experience in data science, analytics, or applied machine learning.
Strong Python for data analysis, modeling, and pipeline development (Pandas, NumPy, scikit-learn).
Experience with structured and unstructured data, data cleaning and feature engineering.
SQL and relational databases; familiarity with ETL concepts.

Responsabilidades

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.

Ferramentas

Python

SQL

Pandas

Scikit-learn

NumPy

ETL

Descrição da oferta de emprego

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.

About the Role

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.

Day-to-Day Impact

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.

Essential Experience

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, NumPy).
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.

Kudos If You Have