• Develop and track metrics to measure and monitor the performance of our risk products and the effectiveness of risk management strategies. • Conduct in-depth analyses to uncover valuable insights contributing to fraud reduction and higher approval rates for our clients. • Serve as a client-facing partner by translating complex data insights into clear, actionable recommendations • Build and experiment with ML models to identify fraudulent patterns and enhance fraud detection capabilities. • Work with engineers on data instrumentation. • Create and automate self-serve dashboards leveraging BI tools. • Collaborate with cross-functional teams (Business, Product, and Engineering) to understand and translate business requirements into actionable data-driven solutions. • Collaborate on implementing risk mitigation solutions, ensuring alignment with business goals.

• Champion a data-first approach across internal teams and client engagements, promoting clarity and impact • Build and deploy machine learning models to prevent fraud across diverse fintech use cases • Use data and models to support the development of risk mitigation strategies and interventions while preserving and improving the user experience • Work directly with clients to understand challenges and deliver high-impact, data-driven solutions • Evolve our risk metrics, the supporting datasets, and how we measure the causal impact of initiatives • Collaborate with engineering to scale models into production and optimize performance

FocusKPI is looking for a Senior Data Scientist fo rour team. The Senior Data Scientist will play a key role in advancing data-driven decision-making by designing and implementing scalable analytical and machine learning solutions. The position focuses on developing models and frameworks that drive measurable business outcomes, enhance experimentation and optimization capabilities, and improve the understanding of complex data relationships. Work Location: Milpitas, CA (Position is eligible for 100% remote work, from anywhere in the United States, reporting to the company headquarters at 1601 McCarthy Blvd, Suite R-5, Milpitas, CA 95035) Pay Range: $117.7/yr Job Responsibilities: - Identify, assess, and integrate diverse data sources to build reliable and scalable data pipelines that support analytics and modeling initiatives. - Develop and enhance data-driven attribution models to estimate the incremental contributions of multiple advertising touchpoints using regression, Bayesian optimization, and probabilistic modeling techniques. - Construct and optimize end-to-end reinforcement learning frameworks (e.g., Multi-Armed Bandits, Thompson Sampling) for adaptive experimentation and automated variant allocation. - Collaborate with engineering and product teams to integrate analytical solutions into production systems and testing workflows, delivering automated and high-efficiency products. - Conduct comprehensive analyses using appropriate and rigorous methods to evaluate model and solution performance, validate assumptions, and identify opportunities for improvement. - Present modeling outcomes and methodological insights to technical and non-technical stakeholders through clear visualizations, documentation, and effective communication. - Contribute to team-level technical excellence through knowledge sharing, code review, and continuous improvement of techniques. - Manage project deliverables across multiple stakeholders, ensuring effective communication, prioritization, and alignment with business objectives. - Leverage LLM and generative AI frameworks to develop intelligent agents and data-driven solutions. Fine-tune and evaluate foundation models to align outputs with business objectives, ensuring responsible, scalable, and effective deployment. Requirements: - Position requires, at a minimum, a U.S. Master’s degree in Statistics, Computer Science, or Machine Learning, Applied Mathematics, an Engineering discipline, or a related quantitative field. To Apply: Please reference Job No. 498103 when sending resumes. Please mail resumes to: HR, FocusKPI, Inc. at 1601 McCarthy Blvd., Suite R-5, Milpitas, CA 95035. Thank you! FocusKPI Hiring Team Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California, with an East Coast office in Boston, Massachusetts. NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to https://reportfraud.ftc.gov/ . The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.

• Partner with the AI Technical Product Manager to support data-driven decision-making across AI initiatives • Analyze datasets to assess the potential functional and business impact of proposed features • Define success metrics and measure post-implementation performance to evaluate actual impact • Provide actionable insights that inform product roadmap, prioritization, and ROI • Collaborate with ML Engineers to identify machine learning opportunities using proprietary datasets • Design and execute experiments (A/B testing, hypothesis testing) to validate product and AI feature effectiveness • Build dashboards, reports, and visualizations to communicate insights to technical and non-technical stakeholders • Ensure data quality, integrity, and proper usage across projects.