Data Scientist

February 7

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Ziff Davis

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Ziff Davis is a multi-billion dollar digital media and internet company, home to over 40 leading brands in technology, shopping, gaming and entertainment, connectivity, health and wellness, cybersecurity, and martech. With a focus on mergers and acquisitions, Ziff Davis has deployed around $3 billion in capital, leveraging its deep industry knowledge, technological expertise, and investment acumen. The company is committed to corporate responsibility, emphasizing diversity, equity, and inclusion, as well as environmental, social, and governance practices. Ziff Davis serves millions of customers worldwide, offering a diverse range of digital media and internet services.

Technology • Shopping • Gaming and Entertainment • Connectivity • Health

1001 - 5000 employees

Founded 1927

📱 Media

💰 $650M Post-IPO Debt on 2017-06

📋 Description

• Ookla® is a global leader in connectivity intelligence, offering unparalleled network insights. • Our team is a group of people brought together through passion and inspired by possibility. • We are looking for a mid- to senior-level data scientist to join our unique and highly-collaborative team of analysts and data scientists. • Your primary focus will be developing methodologies using Ookla's rich, multi-dimensional data sets. • Successful applicants will have an inquisitive nature, a creative approach to solving problems, and excellent communication skills. • We are committed to providing you a flexible work environment where individuality, fun, and talent are all valued equally. • Expectations include leading development of new measurements, collaborating with data engineers and product managers, and mentoring team members.

🎯 Requirements

• A Master's degree in a relevant field, such as computer science, statistics, or data science, or equivalent experience. • Strong foundation in statistical inference, hypothesis testing, data analysis, and statistical modeling techniques. • Experience applying statistical methods to real-world challenges. • Expertise in programming languages like Python or R. • SQL expertise, and experience building complex queries against large data sets. • Strong understanding of data pipeline and ETL processes. • 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. • Proven history of project ownership and cross-team collaboration. • Dependable team player that enjoys learning from and teaching others. • Experience with internet, cellular, and broadband technology and infrastructure. • Background check required.