Data Scientist

September 7

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The future of social media is distributed.

Ad Revenue • Gamification • Digital Advertising • CPM • Ad Effectiveness

51 - 200

💰 $5.2M Series A on 2017-07

Description

• Seeking a Data Scientist optimizing revenue for the COOL company and partners • Enhance advertisement system maximizing monetization through effective data utility • Work impacts ad serving technology, offering key insights for new features and functionalities • Analyze vast datasets, guide ad delivery optimization, driving revenue while ensuring user experience integrity

Requirements

• Bachelor’s or Master’s degree in Data Science, Software Engineering, Computer Science, Statistics or other scientific or quantitative fields • 3+ years of experience in a data science role within the AdTech domain • Proven track record of analyzing complex and diverse datasets, particularly those derived from header bidding processes, Google Ad Manager, and comparable ad serving platforms • Experience in A/B testing for pricing optimization • Strong knowledge of data science frameworks, machine learning, statistical modeling and data mining techniques • Proven experience with SQL in any flavor (MySQL, PostgreSQL, Microsoft SQL Server, SnowSQL, etc.) • Proven technical knowledge in a data-focused programming language, such as R, Python or Julia • Expertise in AWS cloud services specific to Storage (S3, EFS, etc.), Databases (RDS, Redshift, etc.), Analytics (Athena, AWS Glue, etc.), Machine Learning (Sagemaker, Forecast, etc.), and Compute (EC2, Lambda, etc.) or equivalent services on other cloud platforms such as Azure or GCP • Deep experience with supervised and unsupervised machine learning frameworks and statistical modeling techniques • Experience with big data technologies and tools such as Apache Hadoop, Apache Spark, Apache Hive, Rapidminer, or Elasticsearch • Familiar with software engineering best practices such as unit testing, code reviews, design, and documentation • Ability to present data and analytical findings effectively to both technical and non-technical audiences

Benefits

• Annual Performance Bonus • Paid Time Off • National Holidays