As a highly experienced Mid-Senior Level Data Scientist with 10-15 years of experience in the banking sector, you will be responsible for leading strategic data analysis initiatives to generate critical insights and trends. Your expertise in developing and deploying advanced predictive models using statistical and machine learning techniques will drive business outcomes and innovation. Additionally, you will be instrumental in implementing data governance frameworks, evaluating cutting-edge technologies, and fostering cross-functional collaboration to align data-driven strategies with organizational goals. Your key responsibilities will include: - Leading strategic data analysis projects on large datasets to identify trends and anomalies crucial for banking operations. - Designing, developing, and deploying advanced predictive models to enhance business outcomes and drive innovation. - Developing and implementing data governance frameworks to ensure data quality, integrity, and compliance with regulatory standards. - Evaluating and implementing innovative technologies to improve data analytics capabilities and support business growth. - Collaborating with various departments to execute data-driven strategies and initiatives. - Mentoring and guiding junior data scientists and analysts to foster continuous learning and innovation. - Preparing and delivering detailed reports and presentations to senior management and stakeholders. - Keeping abreast of industry trends and emerging technologies to enhance analytical capabilities and drive business value. The qualifications required for this role include: - A Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field; a Master's or PhD degree is preferred. - 10-15 years of hands-on experience in data science, with a significant portion in the banking or financial services industry. - Proficiency in programming languages such as Python, R, or SQL, and experience with data visualization tools like Tableau, Power BI, or Matplotlib. - Expertise in machine learning frameworks and libraries such as scikit-learn, TensorFlow, or PyTorch. - Strong understanding of database management systems, data warehousing solutions, and big data technologies. - Superior analytical and problem-solving skills with the ability to interpret complex data and draw actionable insights. - Exceptional written and verbal communication skills to effectively present technical information to non-technical stakeholders and executive leadership. Preferred qualifications for this role include comprehensive domain knowledge of banking processes, relevant certifications, project management experience, and strong soft skills such as strategic thinking and attention to detail.,
As an accomplished VP/Director of Data Scientist with over 15 years of experience, you will play a crucial role in leading our Data Science team. Your responsibilities will include providing strategic leadership in developing and executing the organization's data science strategy, overseeing the design and deployment of sophisticated predictive models, ensuring data governance and compliance, identifying and implementing emerging technologies, collaborating with cross-functional teams, and serving as a thought leader in the field of data science. Your key responsibilities will involve driving innovation and excellence in all data-driven initiatives, developing and deploying advanced models using cutting-edge statistical and machine learning techniques, implementing robust data governance frameworks, identifying and implementing emerging technologies, leading cross-functional teams, representing the organization at industry conferences, building and leading a high-performing team, preparing comprehensive reports and presentations, and continuously seeking opportunities to enhance analytical capabilities. To qualify for this role, you should have a Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field, with a Master's or PhD degree being highly preferred. You should have over 15 years of hands-on experience in data science, particularly in the banking or financial services industry. Proficiency in programming languages like Python, R, or SQL, experience with data visualization tools such as Tableau or Power BI, expertise in machine learning frameworks like scikit-learn or TensorFlow, and strong analytical and problem-solving skills are essential requirements. Preferred qualifications include a comprehensive understanding of banking processes, products, and regulatory requirements, relevant certifications in data science or analytics, extensive experience in project management, and strong leadership skills with a strategic mindset and attention to detail. If you are a visionary leader with a passion for data science and a proven track record of strategic leadership in the banking sector, we invite you to join our team and drive innovation, excellence, and continuous improvement in our data analytics capabilities.,