Head of Data Science

5 days ago

Muscat, Muscat, Oman PhazeRo Full time

About PhazeRo

PhazeRo is a forefront leader in data science and technology solutions, delivering powerful analytics and transformative insights across various industries. We pride ourselves on a culture that nurtures innovation, collaboration, and intellectual growth. By joining PhazeRo, you will have the opportunity to shape the direction of cutting-edge data strategies and lead a talented team eager to drive impactful outcomes.

Position Overview

We are seeking a Head of Data Science to lead our data science initiatives and strategically drive our analytics capabilities. In this role, you will oversee the entire data science function, setting the vision and strategy while ensuring the delivery of high-quality data-driven solutions. You will collaborate closely with cross-functional teams to identify opportunities where data science can add value and effectively communicate insights to stakeholders at all levels.

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 strategy and methodologies.
  7. Manage relationships with external partners and vendors to enhance our data science capabilities.

Requirements

  1. 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.

Benefits

  1. An honest, entrepreneurial, collaborative, high-performance culture.
  2. Infinite opportunities to learn from industry veterans.
  3. Access to a growing network of world-class advisors that work or have worked at: Google, Facebook, Twitter, and GitHub.
  4. A fun and dynamic work environment that involves a flexible hybrid working environment; community building; and international exposure.
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