Principal Scientist Jobs in Georgia

• Own end-to-end delivery of strategic, high-impact data science projects from problem definition through production deployment, monitoring, and optimization. Lead scoping discussions and present project results as subject-matter authority.
• Develop and deploy advanced machine learning models for fraud detection, risk assessment, anomaly detection, customer segmentation, and churn prediction. Build real-time scoring pipelines, ensure production reliability, and present model design choices as the authority on their technical merits.
• Lead fraud detection initiatives, designing detection algorithms, collaborating with compliance and investigation teams, and continuously improving model performance as fraud patterns evolve.
• Evaluate and apply emerging AI and machine learning technologies, including large language models (LLMs), generative AI, and agentic systems, to enhance product capabilities and competitive advantage.
• Define and document best practices for model development, testing, and deployment, and present them to stakeholders as the authority on the subject.
• Design and build scalable data pipelines, feature engineering frameworks, and reusable modeling infrastructure that accelerate model development and deployment across the organization.
• Monitor model performance, data quality, and business outcomes in production. Identify degradation, troubleshoot issues, drive continuous improvements, and present findings while leading discussions on remediation priorities.
• Partner with Product, Engineering, Finance, and Marketing teams to define analytical requirements, establish success metrics, and deliver recommendations that drive strategic decision-making.
• Present complex analytical findings and strategic recommendations to executive leadership and business stakeholders with clarity and confidence. Communicate technical concepts to diverse audiences and drive adoption of data-driven strategies.
• Ensure all models and analytical processes comply with regulatory, privacy, security, and governance requirements. Collaborate with compliance and legal teams as needed.
• Stay current on emerging data science, ML, and AI trends. Identify, prototype, and recommend innovations that improve customer experience and competitive position.
• Contribute to documentation, best practices, architectural decisions, and reusable code libraries that strengthen the organization's data science capabilities.

• Successful deployment and adoption of advanced ML models that generate measurable business impact (fraud reduction, conversion improvement, risk mitigation, operational efficiency), with results presented clearly to leadership.
• Demonstrated ability to identify and execute high-impact strategic initiatives independently with minimal direction or coaching, and to lead discussions that align stakeholders on priorities.
• Clear, confident communication and presentation of complex technical concepts to executives and stakeholders; proven ability to lead discussions, serve as the authority in the room, and influence decisions.
• Improved data science processes, tooling, and infrastructure that reduce time-to-model and accelerate deployment cycles.

• Master's or PhD degree in a quantitative field (Data Science, Computer Science, Statistics, Mathematics, Physics) or equivalent 8+ years of hands-on industry experience as a Data Scientist, Machine Learning Engineer, or similar role, with experience presenting complex work to senior audiences.
• Demonstrated success leading multiple end-to-end machine learning projects from ideation through production deployment and monitoring, including presenting outcomes and leading project discussions with stakeholders.
• Proven track record of self-initiated, high-impact projects executed with full ownership and minimal oversight.

• Very high proficiency in multiple machine learning methods: supervised learning, unsupervised learning, and deep learning. Able to lead method-selection discussions as the subject matter expert.
• Advanced expertise in SQL and Python; strong software engineering fundamentals including version control, testing, code design, and distributed systems concepts.
• Strong proficiency in AI technologies, including experience evaluating, fine-tuning, or deploying large language models (LLMs) and generative AI systems in production.
• Strong experience with modern ML operations (MLOps), model deployment, monitoring, and serving in production environments; hands-on familiarity with cloud platforms (Snowflake, Databricks, AWS, GCP, or Azure).
• Strong understanding of statistical analysis, experimentation design, A/B testing, hypothesis testing, and causal inference methodologies.
• Experience building real-time or near-real-time scoring systems and production ML pipelines.
• Excellent communication skills: ability to explain complex technical concepts clearly to both technical and non-technical audiences. Strong presentation skills and ability to lead discussions without heavy coaching.
• Strong cross-functional collaboration and stakeholder management skills. Comfortable influencing decisions and driving adoption across Product, Engineering, Finance, and business teams.

• Experience in financial services, tax preparation, SaaS, fintech, or e-commerce industries.
• Hands-on experience building fraud detection, anomaly detection, or risk modeling systems.

• This is a fully remote role (US-based only).
• Occasional travel within US is required for team collaboration, strategy sessions, and business meetings (estimated 4-6 times per year).
• Work is performed in a standard office environment with remote flexibility.
• Must be able to work at a computer for extended periods.

What we offer:

At TaxSlayer we realize the most important aspects in leading our industry are the bright minds behind everything we do. We are proud to offer our employees a highly competitive, comprehensive, and flexible benefits program.

• We offer flexible remote and/or hybrid work options when possible, depending on the role.
• Exempt Salaried employees receive a generous PTO bank, in addition to Paid Holidays.
• Insurance: Medical, Dental, and Vision insurance offerings from Aetna and SunLife. Options for Employee Only, Employee + Spouse/Domestic Partner, Employee + Children, or Family.
• 401K with 150% match on up to 3% contribution
• Performance-based bonus and salary review process
• Other offerings: Wellness Program, Life Insurance for employee, Long-term and Short-term disability, Critical Illness Insurance, Accident Insurance, Education Assistance, company-paid parking, on-site fitness facility, and a company store.

Apply today and don’t forget to opt in for text updates from our recruiting team!

Please note: As a federal contractor, we are responsible to ensure our employees meet any obligations set forth by the U.S. government. We will inform you of any applicable requirements as they arise.