Data Scientist
: Job Details :

Responsibilities and Duties.•Develop and refine advanced machine learning models and algorithms to optimize bidding strategies •Analyze data from Google Ad Manager and other SSPs to understand market dynamics and identify revenue maximization opportunities•Design and evaluate different pricing rules and their impact to network yield•Work on predictive models to forecast user engagement and other relevant metrics•Collaborate with the ad engineering team to integrate data science insights into existing platforms•Continuously monitor model performance and fine-tune as needed•Stay updated with the latest trends and technologies in the AdTech space•Ensure data integrity and compliance with federal, state-level, sector-specific and GDPR data protection regulationsQualifications. Professional competencies•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. The ideal candidate should have a proven track record of analyzing complex and diverse datasets, particularly those derived from header bidding processes, Google Ad Manager, and comparable ad serving platforms. This experience should include a deep understanding of the nuances and dynamics of online advertising data, as well as a demonstrated ability to extract actionable insights from these datasets to drive revenue optimization •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.) with proficiency in writing complex queries for data manipulation and analysis•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 audiencesEOE Statement: Specialist Staffing Group is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. To find out more about Huxley, please visit www.huxley.com