Company: DATASPARK HIRE
Location: Chennai, Tamil Nadu, India
Employment Type: Full-time
Description:
Job Title: VP/Director of Data Scientist with over 15+ years of experience:
Job Description
Position Overview:
We are looking for an accomplished VP/Director of Data Scientist with 15+ years of experience to lead our Data Science team. The ideal candidate will have a profound understanding of data science methodologies, extensive experience in developing and deploying advanced models, and a proven track record of strategic leadership in the banking sector.
Key Responsibilities
• Strategic Leadership: Provide visionary leadership in the development and execution of the organization’s data science strategy, driving innovation and excellence across all data-driven initiatives.
• Advanced Analytics & Modeling: Oversee the design, development, and deployment of sophisticated predictive models and algorithms using cutting-edge statistical and machine learning techniques to solve complex business challenges and drive strategic decision-making.
• Data Governance & Compliance: Develop and… implement robust data governance frameworks, ensuring data quality, integrity, security, and compliance with industry regulations and best practices.
• Innovation & Technology: Identify, evaluate, and implement emerging technologies and methodologies to enhance the organization’s data analytics capabilities and maintain a competitive edge.
• Cross-Functional Leadership: Lead and collaborate with cross-functional teams, including IT, marketing, finance, risk management, and other departments, to develop and execute data-driven strategies that align with organizational goals.
• Thought Leadership: Serve as a thought leader in data science, representing the organization at industry conferences, contributing to academic publications, and driving the adoption of best practices and emerging trends.
• Team Development: Build, mentor, and lead a high-performing team of data scientists and analysts, fostering a culture of continuous learning, collaboration, and innovation.
• Executive Reporting: Prepare and deliver comprehensive reports and presentations on analytical findings, model performance, and strategic recommendations to the executive leadership team and other key stakeholders.
• Continuous Improvement: Stay current with industry trends, advancements in data science, and emerging technologies, continuously seeking opportunities to enhance analytical capabilities and drive business value.
Required Qualifications
• Education: Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. A Master’s or PhD degree is highly preferred.
• Experience: Over 15 years of hands-on experience in data science, with significant experience in the banking or financial services industry.
• Technical Skills:
• Expert proficiency in programming languages such as Python, R, or SQL.
• Extensive experience with data visualization tools like Tableau, Power BI, or Matplotlib.
• Deep 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.
• Analytical Skills: Exceptional analytical and problem-solving skills with the ability to interpret complex data and draw actionable insights.
• Communication Skills: Outstanding written and verbal communication skills, with the ability to effectively present complex technical information to non-technical stakeholders and executive leadership.
Preferred Qualifications
• Domain Knowledge: Comprehensive understanding of banking processes, products, regulatory requirements, and industry trends.
• Certifications: Relevant certifications such as Certified Data Scientist, Certified Analytics Professional, or equivalent.
• Project Management: Extensive experience in leading and managing large-scale data science projects and cross-functional teams.
Leadership Skills: Strong strategic thinking, attention to detail, proactive approach, and ability to work independently and as part of a team in a dynamic environment
Source: LinkedIn
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