VP, Data Science

Description

• Develop and execute a long-term data science strategy aligned with the company's overall business goals.
• Recruit, hire, and develop a high-performing team of data scientists and machine learning engineers.
• Foster strong partnerships with other departments, such as engineering, product, and business development, to ensure seamless integration of solutions.
• Stay up-to-date with the latest advancements in AI, machine learning, and deep learning techniques and champion learning activities within the company across all departments.
• Integrate data science best practices across the company and enable self-service analytics and reporting
• Lead the development and deployment of sophisticated AI/ML models enabling new applications and creating value to our customers.
• Lead research and development of new measurements, KPIs, models, and products that offer actionable insights about connected experiences
• Oversee the design, implementation, and maintenance of robust data pipelines and infrastructure.
• Identify opportunities to leverage AI/ML to create innovative products and services, working closely with the applications product management as well as professional services teams.
• Work closely with product teams to define product roadmaps and prioritize features.
• Collaborate with engineering team to build platforms and pipelines that support advanced analytics and AI/ML
• Identify and mitigate potential risks associated with AI deployment.
• Mentor and coach team members to foster professional growth and development.
• Set clear expectations, provide regular feedback, and conduct performance reviews.
• Protect Ookla’s credibility by ensuring quality and consistency across Ookla’s products and public-facing outputs
• Lead executive-level customer discussions, differentiating Ookla’s offerings, addressing customer challenges, and identifying opportunities for growth.

• A Ph.D. or Master's degree in a relevant field, such as computer science, statistics, or data science
• Strong foundation in statistical modeling, hypothesis testing, and data analysis techniques.
• Proficient in machine learning algorithms, including supervised, unsupervised, and reinforcement learning.
• Expertise in programming languages like Python, R, or Scala.
• Strong understanding of data pipelines, ETL processes, and data platforms.
• Experience with cloud computing platforms like AWS, Azure, or GCP.
• Excellent communication skills to convey complex technical concepts to both technical and non-technical audiences.
• Experience in the data science field, preferably in the Telecom industry.
• Proven experience in strategic planning, analysis, and resource allocation.
• Ability to develop personal credibility and empathy and to build trustworthy relationships at all levels. Ability to influence, negotiate, and communicate effectively and outside the organization.

• 401(k) matching 
• Unlimited PTO
• Employee Stock Purchase Plan options 
• Health/dental/vision insurance coverage 
• Wellness benefits (Calm app, gym reimbursement, ERG groups, etc)
• Employee Assistance Programs (EAP) (mental health, financial advice, legal guidance, and more)
• Maven Fertility options 
• Pregnancy support
• Pet insurance
• Enhanced parental leave
• Disability coverage