Senior Data Scientist - FinBox

Data Analytics & Insights: Analyze large datasets to generate meaningful insights and measure business impact. Model Development & Experimentation: Design and deploy predictive models, leveraging statistical and machine learning techniques to drive business growth. Algorithm Development: Create and optimize algorithms to extract and process data, improving decision-making processes. Experimentation & A/B Testing: Conduct rigorous experimentation to refine products and optimize business strategies. Visualization & Reporting: Build dashboards and automated reports using visualization tools to communicate insights effectively. End-to-End Data Processing: Gather, clean, and pre-process data for insight generation and model building. Stakeholder Collaboration: Work closely with product, engineering, and business teams to translate informal requirements into problem statements and solutions. Model Deployment: Deploy ML models and ensure they are optimized for production and business applications. Who You Are: 4+ years of experience in data science, with a strong background in the finance or fintech sector. Expertise in Python/R, SQL, and Excel for data analysis, modeling, and automation. Proficiency in AWS & Git for cloud-based deployment and version control. Strong knowledge of statistical methods and machine learning techniques, including regression, clustering, decision trees, bootstrapping, and survival analysis. Hands-on experience with data visualization tools such as Tableau, Power BI, or open-source libraries. Strong problem-solving and communication skills to simplify complex models and insights for business stakeholders. Experience in deploying data science solutions at scale, with a focus on automation and real-time analytics Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.