Qualifications

• 6+ years of experience in predictive analytics with tools like Python, R, or Scala.
• 6+ years of experience in writing complex SQL queries for data extraction and transformation.
• Extensive experience in applying machine learning techniques, including deep learning and NLP.
• Expertise in large-scale data platforms such as Hadoop, Spark, and cloud solutions.
• Proven track record of leading data science teams and mentoring colleagues.
• Strong communication skills for engaging with diverse stakeholders at all levels, including executives.
• Experience with Agile Scrum project frameworks.

Responsibilities

• Lead the design and execution of high-impact data science projects.
• Collaborate with client stakeholders to understand and address business challenges.
• Oversee data acquisition and integration, ensuring quality and reliability.
• Apply machine learning and predictive modeling to solve complex business problems.
• Guide predictive model deployment and integration into business applications.
• Develop strategies to optimize model performance and ongoing monitoring.
• Present data findings and actionable strategies to executives and team members.
• Mentor junior and senior data scientists in methodologies and best practices.
• Influence data governance and best practices across the organization.

Benefits

• Opportunities for professional development and learning.
• Flexible working arrangements, allowing for work-life balance.
• Access to advanced technology and tools in the data science field.
• Supportive team environment promoting collaboration and innovation.