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…