Data Scientist

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. Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform. What You’ll DoThis 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 signalsSupport development, testing, and validation of value-added attributes and analytics pipelinesUse SQL (and SAS where applicable) to extract, clean, and transform data from Teradata-style table structuresApply 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 reportingPresent findings and recommendations to diverse stakeholders in both written and verbal formatsFollow agile practices for project execution and model/product lifecycle managementContribute to a learning-focused environment by researching advances in data science and sharing insights ResponsibilitiesContribute to the maintenance and enhancement of the THOR information product and related transaction data assetsBuild working knowledge of database structures, data sources, production processes, and data distributions across billions of transactionsInvestigate data anomalies and communicate risks, root causes, and remediation optionsSupport ad-hoc analytical requests, user training materials, and informational presentations for the analytics communityCollaborate with cross-functional teammates to complete deliverables and resolve data or development issuesApply quality-control practices throughout analysis, development, testing, and post-production validation Required SkillsData analysis, cleansing, and validation best practicesStrong written and verbal communication; ability to present technical topics to non-technical stakeholdersAttention to detail and intellectual curiosity about data patterns and anomaliesFamiliarity with agile practices and technical documentationAbility to work with ambiguous or incomplete information and synthesize diverse data sourcesAwareness of the U.S. marketplace and financial transaction trends (useful for transactional data interpretation) Required Technical Skills2–5 years of experience in data science, feature engineering, or data engineeringStrong SQL skills (experience with Teradata-style table structures)Experience with SAS is preferredFamiliarity with statistical and non-statistical analytical techniques and research/design of experimentsBachelor’s degree in Math, Economics, Statistics, Engineering, Finance, Computer Science or related experience preferredExperience integrating analytical solutions into production processes and validating post-deployment performance Preferred / Nice-to-HavePrior work with large-scale financial transaction datasets or enterprise information productsExperience with data visualization and delivering executive or operational dashboardsFamiliarity with model governance, model monitoring, or risk analytics workflows Location & EmploymentThis 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 TransparencyCareertakes 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.