Data Scientist I
The Data Scientist I at Confidential Client is responsible for analyzing large datasets to identify revenue opportunities and develop risk management strategies. The role involves collaborating with stakeholders to solve business problems using advanced data science techniques, supporting AI and model development across multiple business lines, and contributing to the bank's AI enablement strategy. This position requires strong communication skills, technical expertise in AI and machine learning, and the ability to drive innovation within a regulated financial environment.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Banking.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
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
Shift & Hours
- Shift: 1st shift (United States of America)
- Hours per week: 40 (full-time)
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 client, Banking.
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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