Data Scientist

Anzu is the most advanced intrinsic in-game ad solution for mobile, PC, console, and the metaverse. Anzu’s in-game ads put players first and help advertisers reach audiences programmatically in a non-disruptive and highly engaging way. A patented 3D ad tracking engine, the first to bring viewability measurement in-game with Oracle Moat and IAS, partnerships with trusted AdTech vendors, and compliant with the industry measurement standards outlined by the MRC and IAB make Anzu the preferred in-game advertising partner for brands and agencies worldwide.

Anzu helps game developers monetize their titles with ad placements that complement the gameplay, and by monetizing the entire game session, they benefit from consistent and reliable revenue streams. Supporting all major and custom built game engines, and a full-stack ad monetization solution that provides complete control over ad placements makes Anzu the preferred in-game ad monetization partner for developers worldwide.

Backed by Sony Innovation Fund, NBCUniversal, Samsung Next, Bandai Namco Entertainment 021 Fund, WPP, PayPal Ventures and many other prominent investors, Anzu is on a mission to make advertising in games better. Better for brands, better for game developers, and better for gamers. Learn more.

We’re looking for a Data Scientist with excellent analytical skills to join our data team and take part in the development of Anzu’s next-generation data platform.

• Implement data cleaning and preprocessing techniques to ensure the integrity of Anzu data
• Develop predictive models for bidfloor optimization, bidding strategies, pacing management, and more
• Write and improve queries to build our reporting pipeline
• Analyze time-series data to identify trends, seasonality, and anomalies, enabling proactive decision-making and improving our time-series machine-learning models
• Create and maintain data pipelines for ingesting, cleaning, and transforming large volumes of data
• Learn, work, and gain confidence with big-data and engineering technologies (Druid, BigQuery, Airflow, Kafka, etc.)
• Read and apply academic research papers to explore and implement cutting-edge data science methods and technologies
• Collaborate and assist in customizing analytical solutions with multiple teams to deliver insights and solutions using data
• Work closely with the Infrastructure team to develop and release new features
• Work closely with the business teams to resolve complex requests and come up with solutions using data
• Build data pipelines and schedule jobs for our reports, models, ETLs, etc.

Requirements

• 3+ years of relevant experience in all of the following:
• At least three years of relevant experience as a Data Scientist
• Strong proficiency in SQL for data extraction and manipulation
• Proficiency in Python for data analysis, data wrangling, and machine learning
• Knowledge of popular libraries such as scikit-learn, pandas, numpy, scipy, and prophet
• Knowledge of machine learning techniques and methodologies for predictive modeling
• Experience with forecasting methods and tools, including ARIMA, SARIMA, Prophet, or other time-series modeling libraries. - Big Advantage 
• Familiarity with big data tools and platforms, such as Druid and Google BigQuery
• Ability to collaborate with cross-functional teams, including engineers, product managers, and other business teams

• Strong understanding of the AdTech industry, including digital advertising, programmatic advertising, ad exchanges, and related technologies. - Big Advantage

Benefits

• Industry-leading global company in the in-game advertising market
• Exciting opportunity to dive into the popular worlds of gaming, esports, and advertising
• Central HQ in Tel Aviv, with hybrid working and remote teams around the globe
• Great opportunity for professional growth across multiple areas of expertise working with cutting-edge technologies
• Work with AAA and indie gaming studios to make gaming a better place
• Equal opportunity employer with inclusive environment for all employees
• Competitive salary packages
• And much, much more…