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edkey

Data Scientist

atlanta, GA

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About this opportunity

edkey lists this Data Scientist opportunity in atlanta, Georgia. Review the employer’s description below for duties, qualifications and application requirements.

Job description

What You'll Do

This confidential client is hiring a Data Scientist I to join a risk and data engineering-focused analytics team in Atlanta, GA. You will work with large-scale transactional data to support risk measurement, product insight, and operational reporting. The role emphasizes data quality, feature engineering, and delivering reliable analytic products into production.

Analyze large transaction datasets to identify patterns, anomalies, and revenue or risk-related signals

Support development, testing, and validation of value-added attributes and analytics pipelines

Use SQL (and SAS where applicable) to extract, clean, and transform data from Teradata-style table structures

Apply established statistical and non-statistical techniques to evaluate alternative approaches (e.g., transaction categorization, feature creation)

Produce clear technical documentation, test plans, and post-production validation reporting

Present findings and recommendations to diverse stakeholders in both written and verbal formats

Follow agile practices for project execution and model/product lifecycle management

Contribute to a learning-focused environment by researching advances in data science and sharing insights

Responsibilities

Contribute to the maintenance and enhancement of the THOR information product and related transaction data assets

Build working knowledge of database structures, data sources, production processes, and data distributions across billions of transactions

Investigate data anomalies and communicate risks, root causes, and remediation options

Support ad-hoc analytical requests, user training materials, and informational presentations for the analytics community

Collaborate with cross-functional teammates to complete deliverables and resolve data or development issues

Apply quality-control practices throughout analysis, development, testing, and post-production validation

Required Skills

Data analysis, cleansing, and validation best practices

Strong written and verbal communication; ability to present technical topics to non-technical stakeholders

Attention to detail and intellectual curiosity about data patterns and anomalies

Familiarity with agile practices and technical documentation

Ability to work with ambiguous or incomplete information and synthesize diverse data sources

Awareness of the U.S. marketplace and financial transaction trends (useful for transactional data interpretation)

Required Technical Skills

2-5 years of experience in data science, feature engineering, or data engineering

Strong SQL skills (experience with Teradata-style table structures)

Experience with SAS is preferred

Familiarity with statistical and non-statistical analytical techniques and research/design of experiments

Bachelor’s degree in Math, Economics, Statistics, Engineering, Finance, Computer Science or related experience preferred

Experience integrating analytical solutions into production processes and validating post-deployment performance

Preferred / Nice-to-Have

Prior work with large-scale financial transaction datasets or enterprise information products

Experience with data visualization and delivering executive or operational dashboards

Familiarity with model governance, model monitoring, or risk analytics workflows

Location & Employment

This position is based in Atlanta, GA. Careertakes is assisting as a third-party recruiter; if selected you will be employed directly by our Banking client.

Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind.

To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people. If you have questions about how your data is used, please contact us directly.

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Worksite address

atlanta, GA, 30383, US

Who can apply

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