Senior Data Scientist - Training & Development

Role Overview: Welcome to FinBox, the innovative hub where fintech meets fun! At FinBox, we have developed cutting-edge technologies in the financial services industry to assist lenders in launching credit products swiftly. Our goal is to provide top-notch infrastructure for lending products, enabling Banks & Financial Services companies worldwide to expand and introduce credit programs that redefine digital finance standards. With over 100 companies utilizing FinBox solutions to deliver credit to more than 5 million customers monthly, your role at FinBox will have a significant impact on millions by facilitating fair and accessible credit for individuals and businesses. Key Responsibilities: - Analyze large datasets to derive meaningful insights and evaluate business impact. - Design and implement predictive models using statistical and machine learning methods to drive business growth. - Develop and optimize algorithms for data extraction and processing to enhance decision-making processes. - Conduct experimentation and A/B testing for end-to-end data processing, including data gathering, cleaning, and pre-processing for insight generation and model construction. - Deploy machine learning models, ensuring optimization for production and business applications. Qualifications Required: - Minimum of 4 years of experience in data science, particularly within the finance or fintech sector. - Proficient in Python/R, SQL, and Excel for data analysis, modeling, and automation. - Expertise in AWS & Git for cloud-based deployment and version control. - Strong understanding of statistical techniques and machine learning algorithms such as regression, clustering, decision trees, bootstrapping, and survival analysis. - Hands-on experience with data visualization tools like Tableau, Power BI, or open-source libraries. - Experience in scaling data science solutions with a focus on automation and real-time analytics. Role Overview: Welcome to FinBox, the innovative hub where fintech meets fun! At FinBox, we have developed cutting-edge technologies in the financial services industry to assist lenders in launching credit products swiftly. Our goal is to provide top-notch infrastructure for lending products, enabling Banks & Financial Services companies worldwide to expand and introduce credit programs that redefine digital finance standards. With over 100 companies utilizing FinBox solutions to deliver credit to more than 5 million customers monthly, your role at FinBox will have a significant impact on millions by facilitating fair and accessible credit for individuals and businesses. Key Responsibilities: - Analyze large datasets to derive meaningful insights and evaluate business impact. - Design and implement predictive models using statistical and machine learning methods to drive business growth. - Develop and optimize algorithms for data extraction and processing to enhance decision-making processes. - Conduct experimentation and A/B testing for end-to-end data processing, including data gathering, cleaning, and pre-processing for insight generation and model construction. - Deploy machine learning models, ensuring optimization for production and business applications. Qualifications Required: - Minimum of 4 years of experience in data science, particularly within the finance or fintech sector. - Proficient in Python/R, SQL, and Excel for data analysis, modeling, and automation. - Expertise in AWS & Git for cloud-based deployment and version control. - Strong understanding of statistical techniques and machine learning algorithms such as regression, clustering, decision trees, bootstrapping, and survival analysis. - Hands-on experience with data visualization tools like Tableau, Power BI, or open-source libraries. - Experience in scaling data science solutions with a focus on automation and real-time analytics.