VP, Data Science
United States
Ookla
Ookla® is a global leader in network intelligence and connectivity insights. Explore solutions for consumers, operators, businesses, non-profits, and more.- 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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure Computer Science Data analysis Data pipelines Deep Learning Engineering ETL GCP KPIs Machine Learning Maven ML models Pipelines Python R Reinforcement Learning Research Scala Statistical modeling Statistics Testing
Perks/benefits: Career development Competitive pay Equity / stock options Fertility benefits Health care Insurance Parental leave Startup environment Unlimited paid time off Wellness
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