Director of Analytics and Innovation

2 weeks ago

Muscat, Muscat, Oman beBee Careers Full time

About this role:

Key Responsibilities
  1. Lead and mentor a dynamic team of data scientists and analysts, fostering a culture of continuous learning and innovation.
  2. Develop and execute a comprehensive data science strategy aligned with business objectives.
  3. Collaborate with stakeholders to define data-driven solutions and ensure project delivery meets timelines and quality standards.
  4. Oversee the design, implementation, and evaluation of complex machine learning models and algorithms.
  5. Bridge between technical teams and business units, effectively presenting key findings and recommendations.
  6. Stay abreast of the latest trends and advancements in data science and technology, incorporating them into our methodologies.
  7. Manage relationships with external partners and vendors to enhance our data science capabilities.

This role requires strong leadership and team management skills, as well as expertise in machine learning, data mining, statistical analysis, and predictive modeling. Proficiency in programming languages such as Python, R, or Scala and experience with data visualization tools is also essential.

The ideal candidate will have a proven track record in a leadership role and a strong analytical and problem-solving mindset. They will be able to convey complex technical concepts to non-technical audiences and have a passion for leveraging data to drive business outcomes.

We offer a fun and dynamic work environment that involves a flexible hybrid working environment; community building; and international exposure.

Requirements
  1. A Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related field.
  2. At least 7 years of experience in data science and analytics, with a proven track record in a leadership role.
  3. Strong expertise in machine learning, data mining, statistical analysis, and predictive modeling.
  4. Proficiency in programming languages such as Python, R, or Scala and experience with data visualization tools.
  5. Demonstrated experience in deploying models into production and working with big data technologies (e.g., Hadoop, Spark).
  6. Excellent leadership and team management skills with a focus on developing talent.
  7. Outstanding communication skills, capable of conveying complex technical concepts to non-technical audiences.
  8. Strong analytical and problem-solving mindset, with a passion for leveraging data to drive business outcomes.

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