Data Scientist

Description

We are looking for a Data Scientist to join a cutting-edge team in Columbia, SC. This role is suited for a hands-on, detail-oriented individual who can quickly step into an established engineering environment and contribute as an individual contributor alongside a stable, collaborative team. You will work closely with software engineering partners to build data-driven solutions, support analytics initiatives, and apply machine learning and ETL expertise to business needs.

Responsibilities

Develop, maintain, and improve data pipelines that collect, transform, and prepare information for analytical and operational use.

Design and implement machine learning models that address business challenges and support data-informed decision-making.

Partner with software engineers, product stakeholders, and quality teams to integrate data science solutions into broader technical workflows.

Analyze complex datasets to identify trends, generate insights, and recommend practical next steps based on findings.

Step into ongoing initiatives with minimal ramp-up time by reviewing existing work and continuing progress on active projects.

Translate business questions into structured analytical approaches, selecting appropriate methods, tools, and validation techniques.

Document methodologies, model performance, and data processes to support knowledge sharing and maintainability across the team.

Participate in periodic onsite collaboration in Irmo, South Carolina, with in-person attendance expected once per quarter.

Requirements

Experience in a Data Scientist or closely related role within a technology-focused environment.
Strong background in ETL processes, including extracting, transforming, and loading data from multiple sources.
Hands-on experience building, testing, and refining machine learning models for real-world applications.
Ability to work effectively as an individual contributor while collaborating with cross-functional technical teams.
Proficiency in analyzing large or complex datasets and communicating findings in a clear, actionable manner.
Strong problem-solving skills with the ability to continue existing workstreams and adapt quickly to team priorities.
Comfortable working in a hybrid collaboration model with onsite presence required once per quarter.

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